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    <title>The Operating System Show</title>
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    <description>Everything your business knows walks out at 5pm. You rent it back every morning. And every time someone leaves, you lose a piece of how the place runs.

That's the problem The Operating System Show exists to solve.

I'm Matt Dixon, fractional CTO. I talk to the founders, COOs, and executives who are figuring out how to get their companies to run without every answer living in one person's head.

Every week: what broke, what they rebuilt, and where the real leverage was.

New episodes every week. Subscribe so you don't miss one.</description>
    <copyright>20206 Matt Dixon</copyright>
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    <podcast:locked>yes</podcast:locked>
    <podcast:trailer pubdate="Tue, 30 Jun 2026 11:49:43 -0500" url="https://media.transistor.fm/61d69655/a7dba588.mp3" length="993241" type="audio/mpeg">Your Business Depends on a System You Don't Own</podcast:trailer>
    <language>en</language>
    <pubDate>Tue, 06 Oct 2026 09:47:27 -0500</pubDate>
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      <title>The Operating System Show</title>
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    <itunes:type>episodic</itunes:type>
    <itunes:author>Matt Dixon</itunes:author>
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    <itunes:summary>Everything your business knows walks out at 5pm. You rent it back every morning. And every time someone leaves, you lose a piece of how the place runs.

That's the problem The Operating System Show exists to solve.

I'm Matt Dixon, fractional CTO. I talk to the founders, COOs, and executives who are figuring out how to get their companies to run without every answer living in one person's head.

Every week: what broke, what they rebuilt, and where the real leverage was.

New episodes every week. Subscribe so you don't miss one.</itunes:summary>
    <itunes:subtitle>Everything your business knows walks out at 5pm.</itunes:subtitle>
    <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
    <itunes:owner>
      <itunes:name>Matt Dixon</itunes:name>
      <itunes:email>info@frontrangesystems.com</itunes:email>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Stop Hiring Only A Players | Craig Wahl on Building a Leadership Team That Scales</title>
      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
      <itunes:title>Stop Hiring Only A Players | Craig Wahl on Building a Leadership Team That Scales</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[Craig Wahl coaches CEOs and founders whose companies got bigger, faster than they expected. He runs Njorth, works as a fractional COO for tech companies, and is finishing his first book, The Walk.

His core reframe for CEOs: your job isn't to make all the decisions. It's to make sure they get made, by the right people, and that someone is accountable for them.

He learned most of it scaling a team fast. He chased A players and found a team of solid B and C players was just as strong. He watched long documented processes go unused and swapped them for simple checklists the team actually ran, then tracked everything and kept iterating.

## In this episode

- Why CEOs need a safe place to talk, and who they can't talk to inside the company
- Your job isn't to make the decisions, it's to make sure they get made
- What founders refuse to hand off, and what the CEO should be doing instead
- Why hiring only A players is a fool's errand when you're scaling
- The Sherpa on Everest: stop yelling down the mountain
- A process nobody follows isn't a process
- Trust is boring, and how leaders shortcut it
- The Walk, his practical guide to the long middle of leading people
- Why "use AI more" is one of the most dangerous things an executive can say
- The question to ask anyone selling you AI: have you ever run a business?

## Timestamps

00:00 The show open
00:30 Meet Craig Wahl
01:14 The three things Njorth does
02:20 You don't call an electrician for a leak
02:55 Why CEOs need a safe place to talk
06:30 Make sure the decisions get made
07:33 What founders refuse to hand off
08:55 The leadership triangle
10:25 Can anyone sell as well as the CEO?
12:45 What breaks when the team gets big
13:23 Why hiring only A players is a fool's errand
14:49 The Sherpa on Everest
17:25 A process nobody follows isn't a process
18:36 Simple checklists, track everything
20:45 Trust is boring
23:10 How leaders shortcut trust
25:06 The Walk
27:14 A master's in leadership and a junior manager
29:38 What do you want people to remember about you?
30:20 How he uses AI in his own business
32:25 Why "use AI more" is dangerous
34:24 Have you ever run a business?
35:10 The four zones of AI
35:46 What error rate will you accept from AI?
38:43 Ten salespeople, selling 80% of the time
39:36 Who should hire Craig
39:59 What's next for Njorth
40:39 Where to find Craig

## About Craig Wahl

Craig Wahl is a leadership architect and CEO advisor at Njorth. He coaches founders and CEOs, runs leadership alignment workshops, and works as a fractional COO, mostly for tech companies scaling from Series A to Series C. His first book, The Walk, comes out in spring 2027.

Website: https://njorth.ai

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Craig Wahl coaches CEOs and founders whose companies got bigger, faster than they expected. He runs Njorth, works as a fractional COO for tech companies, and is finishing his first book, The Walk.

His core reframe for CEOs: your job isn't to make all the decisions. It's to make sure they get made, by the right people, and that someone is accountable for them.

He learned most of it scaling a team fast. He chased A players and found a team of solid B and C players was just as strong. He watched long documented processes go unused and swapped them for simple checklists the team actually ran, then tracked everything and kept iterating.

## In this episode

- Why CEOs need a safe place to talk, and who they can't talk to inside the company
- Your job isn't to make the decisions, it's to make sure they get made
- What founders refuse to hand off, and what the CEO should be doing instead
- Why hiring only A players is a fool's errand when you're scaling
- The Sherpa on Everest: stop yelling down the mountain
- A process nobody follows isn't a process
- Trust is boring, and how leaders shortcut it
- The Walk, his practical guide to the long middle of leading people
- Why "use AI more" is one of the most dangerous things an executive can say
- The question to ask anyone selling you AI: have you ever run a business?

## Timestamps

00:00 The show open
00:30 Meet Craig Wahl
01:14 The three things Njorth does
02:20 You don't call an electrician for a leak
02:55 Why CEOs need a safe place to talk
06:30 Make sure the decisions get made
07:33 What founders refuse to hand off
08:55 The leadership triangle
10:25 Can anyone sell as well as the CEO?
12:45 What breaks when the team gets big
13:23 Why hiring only A players is a fool's errand
14:49 The Sherpa on Everest
17:25 A process nobody follows isn't a process
18:36 Simple checklists, track everything
20:45 Trust is boring
23:10 How leaders shortcut trust
25:06 The Walk
27:14 A master's in leadership and a junior manager
29:38 What do you want people to remember about you?
30:20 How he uses AI in his own business
32:25 Why "use AI more" is dangerous
34:24 Have you ever run a business?
35:10 The four zones of AI
35:46 What error rate will you accept from AI?
38:43 Ten salespeople, selling 80% of the time
39:36 Who should hire Craig
39:59 What's next for Njorth
40:39 Where to find Craig

## About Craig Wahl

Craig Wahl is a leadership architect and CEO advisor at Njorth. He coaches founders and CEOs, runs leadership alignment workshops, and works as a fractional COO, mostly for tech companies scaling from Series A to Series C. His first book, The Walk, comes out in spring 2027.

Website: https://njorth.ai

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 06 Oct 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/59585905/28b1ee7b.mp3" length="59482627" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2477</itunes:duration>
      <itunes:summary>Craig Wahl learned that hiring only A players is a fool's errand when you are scaling. The CEO advisor and fractional COO on why a CEO's job is to make sure decisions get made, why a process nobody follows does not count, and the question to ask anyone selling you AI: have you ever run a business?</itunes:summary>
      <itunes:subtitle>Craig Wahl learned that hiring only A players is a fool's errand when you are scaling. The CEO advisor and fractional COO on why a CEO's job is to make sure decisions get made, why a process nobody follows does not count, and the question to ask anyone se</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Hit Every Metric, Missed the Number | Chris Mader on Running EOS Inside His Own Business</title>
      <itunes:episode>14</itunes:episode>
      <podcast:episode>14</podcast:episode>
      <itunes:title>Hit Every Metric, Missed the Number | Chris Mader on Running EOS Inside His Own Business</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">8122455e-b5f9-4e07-8ec2-4037a6b2aebc</guid>
      <link>https://share.transistor.fm/s/f9d84268</link>
      <description>
        <![CDATA[Chris Mader was drafted by the Chicago White Sox, spent four years in the minors, then built a business career that ran all the way to chief revenue officer. Today he runs MTA Consultancy and implements EOS inside companies doing 10 to 50 million a year.

His company is named for the sign that hung over his college baseball coach's desk: Son, make the adjustment. The bad news, he tells owners, is that you are probably the problem in your business. The good news is that you are also the solution.

He runs EOS inside his own company too. Last year he hit every metric on his scorecard and still missed his revenue goal. So he took a hard look at the metric itself, doubled his weekly prospect conversations, and watched revenue climb.

## In this episode

- Why he runs EOS inside his own business, and what his scorecard told him when revenue fell short
- EOS as the way in, and why he teaches the team to run the weekly meeting without him
- Building your company as if you were selling it, even if you never will
- Revenue is vanity: profit, EBITDA, and the leverage of having the choice to sell
- The finance and technology seats most growing companies are missing, and when fractional beats full time
- Coach Mader AI, the digital twin he trained on thousands of his own coaching calls
- Do you want to be right, or do you want to win
- Who EOS is not for, and who should call him

## Timestamps

00:00 From the White Sox to EOS
01:08 Son, make the adjustment
02:45 You are the problem, and the solution
03:12 Inspirationally irritating
04:12 Running EOS inside his own business
04:57 Hit every metric, missed the revenue goal
06:44 EOS as a Trojan horse
08:43 Teaching the team to run it without him
09:55 Getting the founder out of the way
11:15 Build it like you will sell it, even if you won't
12:52 Revenue is vanity, profit is fuel
15:06 Buyers won't pay for a business that is you
16:46 The chef who wants one restaurant
18:36 Why finance and technology are the missing seats
20:23 Fractional or full time
21:47 Where fractional work is headed
23:45 Coach Mader AI, his digital twin
25:55 The four zones of AI
26:39 The one person who knows everything
28:27 Do you want to be right, or do you want to win
29:50 Who should not use EOS
31:06 Who is a great fit
31:51 What is next for MTA Consultancy
33:02 Where to find Chris

## About Chris Mader

Chris Mader is the founder of MTA Consultancy, an EOS implementer, executive coach, and the author of Make the Adjustment. A former professional baseball player, he spent more than a decade leading revenue teams in corporate America, rising to chief revenue officer, before starting his own firm. He works with founders who want to grow, scale, and eventually exit.

Website: https://www.mtaconsultancy.com
Instagram: https://www.instagram.com/chrismadermta/
LinkedIn: https://www.linkedin.com/in/chrismadermta

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Chris Mader was drafted by the Chicago White Sox, spent four years in the minors, then built a business career that ran all the way to chief revenue officer. Today he runs MTA Consultancy and implements EOS inside companies doing 10 to 50 million a year.

His company is named for the sign that hung over his college baseball coach's desk: Son, make the adjustment. The bad news, he tells owners, is that you are probably the problem in your business. The good news is that you are also the solution.

He runs EOS inside his own company too. Last year he hit every metric on his scorecard and still missed his revenue goal. So he took a hard look at the metric itself, doubled his weekly prospect conversations, and watched revenue climb.

## In this episode

- Why he runs EOS inside his own business, and what his scorecard told him when revenue fell short
- EOS as the way in, and why he teaches the team to run the weekly meeting without him
- Building your company as if you were selling it, even if you never will
- Revenue is vanity: profit, EBITDA, and the leverage of having the choice to sell
- The finance and technology seats most growing companies are missing, and when fractional beats full time
- Coach Mader AI, the digital twin he trained on thousands of his own coaching calls
- Do you want to be right, or do you want to win
- Who EOS is not for, and who should call him

## Timestamps

00:00 From the White Sox to EOS
01:08 Son, make the adjustment
02:45 You are the problem, and the solution
03:12 Inspirationally irritating
04:12 Running EOS inside his own business
04:57 Hit every metric, missed the revenue goal
06:44 EOS as a Trojan horse
08:43 Teaching the team to run it without him
09:55 Getting the founder out of the way
11:15 Build it like you will sell it, even if you won't
12:52 Revenue is vanity, profit is fuel
15:06 Buyers won't pay for a business that is you
16:46 The chef who wants one restaurant
18:36 Why finance and technology are the missing seats
20:23 Fractional or full time
21:47 Where fractional work is headed
23:45 Coach Mader AI, his digital twin
25:55 The four zones of AI
26:39 The one person who knows everything
28:27 Do you want to be right, or do you want to win
29:50 Who should not use EOS
31:06 Who is a great fit
31:51 What is next for MTA Consultancy
33:02 Where to find Chris

## About Chris Mader

Chris Mader is the founder of MTA Consultancy, an EOS implementer, executive coach, and the author of Make the Adjustment. A former professional baseball player, he spent more than a decade leading revenue teams in corporate America, rising to chief revenue officer, before starting his own firm. He works with founders who want to grow, scale, and eventually exit.

Website: https://www.mtaconsultancy.com
Instagram: https://www.instagram.com/chrismadermta/
LinkedIn: https://www.linkedin.com/in/chrismadermta

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 29 Sep 2026 11:51:06 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/f9d84268/fc3ae735.mp3" length="48638018" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2025</itunes:duration>
      <itunes:summary>Chris Mader hit every metric on his EOS scorecard and still missed his revenue goal. The former White Sox draft pick turned EOS implementer on making the adjustment, building your company as if you were selling it, the seats most growing companies are missing, and the AI twin he trained on his own coaching calls.</itunes:summary>
      <itunes:subtitle>Chris Mader hit every metric on his EOS scorecard and still missed his revenue goal. The former White Sox draft pick turned EOS implementer on making the adjustment, building your company as if you were selling it, the seats most growing companies are mis</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>You Can't Scale Complexity | Derek Fredrickson on What a Fractional COO Actually Builds</title>
      <itunes:episode>13</itunes:episode>
      <podcast:episode>13</podcast:episode>
      <itunes:title>You Can't Scale Complexity | Derek Fredrickson on What a Fractional COO Actually Builds</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">2686415f-ebd0-4980-85d5-0e0c9b6a3182</guid>
      <link>https://share.transistor.fm/s/d9180723</link>
      <description>
        <![CDATA[Derek Fredrickson left Wall Street in 2008 to run operations for his wife's coaching company, which she describes as having been built on toothpicks and band aids. Sixteen years later he runs The COO Solution, putting fractional COOs inside founder led companies between seven figures and twenty million.

His rule for all of it: you can't scale complexity, but you can scale simplicity. The work is making a business process driven instead of people driven, so the founder can stop white knuckling the day to day and move from the operator seat into the owner seat.

He is also living it himself. He runs every sales call for his own company from France, into a US market, and he knows exactly when that turns him into the bottleneck.

## In this episode

- Why he reads every business in the same order: marketing, sales, operations, then finance
- Where the fractional model fits, and why it spreads too thin above twenty million
- Done for you, then done with you, then done by the team, so the COO never holds the keys
- Drive by delegation, and the questions that make a founder sell themselves on their own idea
- What AI is actually doing for his clients right now: filling in the weekly scorecard nobody wanted to update
- Fixing the problem versus solving the issue that caused it
- Who should not hire a fractional COO, including the owner who could not picture it working remotely
- His ten year, three year, one year plan, and handing off his own sales seat

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:03 Leaving Wall Street in 2008 for his wife's business
02:02 Toothpicks and band aids
03:22 Where fractional fits, seven figures to twenty million
05:15 Marketing, sales, operations, finance, in that order
07:30 You can't scale complexity
08:29 Process driven, not people driven
10:35 Three things on the menu
12:15 Where the founder still sits in the business
14:58 Letting go of the sales seat, including his own
16:58 Founders love the hunt and skip the fishing
18:28 Does the system survive after the COO leaves
20:46 Done for you, done with you, done by the team
23:23 Drive by delegation
24:35 Make the founder sell themselves on the idea
27:22 AI starts with the use case
28:52 The scorecard AI fills in for you
31:26 A dashboard nobody can hide from
32:42 Fix the problem or solve the issue behind it
33:40 Who should not hire a fractional COO
36:01 The owner who could not picture a remote COO
37:38 What is next for The COO Solution
39:28 Where to find Derek

## About Derek Fredrickson

Derek Fredrickson is the founder and CEO of The COO Solution, which places fractional COOs with founder led companies. He spent sixteen years as a second in command, first scaling his wife's business coaching company past seven figures, then as a fractional COO for other growing companies. He hosts The COO Solution Podcast.

Website and podcast: https://thecoosolution.com
LinkedIn: https://www.linkedin.com/in/derekfredrickson

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Derek Fredrickson left Wall Street in 2008 to run operations for his wife's coaching company, which she describes as having been built on toothpicks and band aids. Sixteen years later he runs The COO Solution, putting fractional COOs inside founder led companies between seven figures and twenty million.

His rule for all of it: you can't scale complexity, but you can scale simplicity. The work is making a business process driven instead of people driven, so the founder can stop white knuckling the day to day and move from the operator seat into the owner seat.

He is also living it himself. He runs every sales call for his own company from France, into a US market, and he knows exactly when that turns him into the bottleneck.

## In this episode

- Why he reads every business in the same order: marketing, sales, operations, then finance
- Where the fractional model fits, and why it spreads too thin above twenty million
- Done for you, then done with you, then done by the team, so the COO never holds the keys
- Drive by delegation, and the questions that make a founder sell themselves on their own idea
- What AI is actually doing for his clients right now: filling in the weekly scorecard nobody wanted to update
- Fixing the problem versus solving the issue that caused it
- Who should not hire a fractional COO, including the owner who could not picture it working remotely
- His ten year, three year, one year plan, and handing off his own sales seat

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:03 Leaving Wall Street in 2008 for his wife's business
02:02 Toothpicks and band aids
03:22 Where fractional fits, seven figures to twenty million
05:15 Marketing, sales, operations, finance, in that order
07:30 You can't scale complexity
08:29 Process driven, not people driven
10:35 Three things on the menu
12:15 Where the founder still sits in the business
14:58 Letting go of the sales seat, including his own
16:58 Founders love the hunt and skip the fishing
18:28 Does the system survive after the COO leaves
20:46 Done for you, done with you, done by the team
23:23 Drive by delegation
24:35 Make the founder sell themselves on the idea
27:22 AI starts with the use case
28:52 The scorecard AI fills in for you
31:26 A dashboard nobody can hide from
32:42 Fix the problem or solve the issue behind it
33:40 Who should not hire a fractional COO
36:01 The owner who could not picture a remote COO
37:38 What is next for The COO Solution
39:28 Where to find Derek

## About Derek Fredrickson

Derek Fredrickson is the founder and CEO of The COO Solution, which places fractional COOs with founder led companies. He spent sixteen years as a second in command, first scaling his wife's business coaching company past seven figures, then as a fractional COO for other growing companies. He hosts The COO Solution Podcast.

Website and podcast: https://thecoosolution.com
LinkedIn: https://www.linkedin.com/in/derekfredrickson

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Fri, 25 Sep 2026 08:01:41 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/d9180723/b5e6c97d.mp3" length="38622043" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2412</itunes:duration>
      <itunes:summary>Derek Fredrickson left Wall Street to run operations behind a founder, and sixteen years later he puts fractional COOs inside companies between seven figures and twenty million. Why you can't scale complexity, drive by delegation, what AI is actually doing for his clients, and handing off his own sales seat.</itunes:summary>
      <itunes:subtitle>Derek Fredrickson left Wall Street to run operations behind a founder, and sixteen years later he puts fractional COOs inside companies between seven figures and twenty million. Why you can't scale complexity, drive by delegation, what AI is actually doin</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>600 Clients on a Team of 16 | David Salerno on Why He Will Not Hire to Fix a Problem</title>
      <itunes:episode>12</itunes:episode>
      <podcast:episode>12</podcast:episode>
      <itunes:title>600 Clients on a Team of 16 | David Salerno on Why He Will Not Hire to Fix a Problem</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">7f0a3b94-6dde-4e82-b9a4-70e82b2af5aa</guid>
      <link>https://share.transistor.fm/s/38d8ba05</link>
      <description>
        <![CDATA[David Salerno built Solpak into one of Canada's most recognized packaging companies. Six hundred food sector clients across the country, on a team of sixteen people.

He did not get there by being efficient after the fact. He decided early that headcount was a vanity metric and ran the business that way for twenty years. Zapier for a decade, now Claude. The current policy at Solpak is that nobody gets hired unless the leadership team can make a business case for the hire over automating the work.

The moment it became visible to him was a banker sitting across from him for two hours. Numbers growing, obvious activity everywhere, and in two hours the phone never rang and nobody came to the door. The banker could not explain it. David could not either, until he tried, and what came out of that is the Sherpa Method he now coaches other owners through.

## In this episode

- Why he treated headcount as a vanity metric for twenty years, and what that bought him
- The banker who sat in his office for two hours and could not explain the quiet
- Three challenges, three steps each, and the twenty seven questions behind the Sherpa Method
- Why he thinks owners have a clarity problem rather than an effort problem
- Giving a single number to a single person, and the prefab roof problem that dissolved once someone owned it
- The hiring standard at Solpak: no new hire without a business case against automating the work
- Where AI does not belong, and the call he made to a friend's AI receptionist trying to trick it
- The retreat where a team member asked to stop answering the phone, and what it revealed
- Who should not try to build a self managed business

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:04 Six hundred clients on a team of sixteen
01:30 Why he treated headcount as a vanity metric
02:05 The frameworks that hold the ratio together
02:56 Ten years of Zapier, and what comes next
03:39 The phase where David was the company
04:19 What he took from corporate, and what he refused to rebuild
05:23 The banker who could not explain the quiet office
06:40 Growth, sustainability, and everything after
07:27 What makes a discipline stick when a framework does not
08:00 Give the number to a person and watch what happens
09:12 The prefab roof, the five whys, and a problem that dissolved
10:55 Ninety seven percent would recommend, and the alignment behind it
12:48 The failure point he sees coaching owners
13:06 Founders do not have an effort problem
14:05 Three challenges, three steps, twenty seven questions
15:00 The mindset shift nobody gets to skip
15:55 Build the business as the product
16:30 Claude at Solpak, and no hire without a business case
18:03 The four zones of AI
19:35 Calling a friend's AI receptionist to try to trick it
22:23 The retreat where a team member asked to stop taking calls
23:37 Who should not build a self managed business
25:09 Buy Back Your Time, and the thousand dollar hour
25:54 Who the Sherpa Method is actually for
27:02 What is next for Solpak and Entrepreneur Sherpa
28:01 Where to find David

## About David Salerno

David Salerno founded Solpak, a Quebec based packaging company serving hundreds of food sector clients across Canada, and now works with it as a mentor and guide after selling part of the business to two partners. He wrote Built for Freedom and coaches owners through Entrepreneur Sherpa, built on three pillars, grow, sustain and serve. He is Vice Chairman of the Montreal Economic Institute.

Website and free first chapter: https://davidsalerno.com
Entrepreneur Sherpa: https://entrepreneursherpa.co
LinkedIn: https://www.linkedin.com/in/davidvsalerno/

---

The Operating System Show is for founders who are done being the bottleneck in their own business. If you want to be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[David Salerno built Solpak into one of Canada's most recognized packaging companies. Six hundred food sector clients across the country, on a team of sixteen people.

He did not get there by being efficient after the fact. He decided early that headcount was a vanity metric and ran the business that way for twenty years. Zapier for a decade, now Claude. The current policy at Solpak is that nobody gets hired unless the leadership team can make a business case for the hire over automating the work.

The moment it became visible to him was a banker sitting across from him for two hours. Numbers growing, obvious activity everywhere, and in two hours the phone never rang and nobody came to the door. The banker could not explain it. David could not either, until he tried, and what came out of that is the Sherpa Method he now coaches other owners through.

## In this episode

- Why he treated headcount as a vanity metric for twenty years, and what that bought him
- The banker who sat in his office for two hours and could not explain the quiet
- Three challenges, three steps each, and the twenty seven questions behind the Sherpa Method
- Why he thinks owners have a clarity problem rather than an effort problem
- Giving a single number to a single person, and the prefab roof problem that dissolved once someone owned it
- The hiring standard at Solpak: no new hire without a business case against automating the work
- Where AI does not belong, and the call he made to a friend's AI receptionist trying to trick it
- The retreat where a team member asked to stop answering the phone, and what it revealed
- Who should not try to build a self managed business

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:04 Six hundred clients on a team of sixteen
01:30 Why he treated headcount as a vanity metric
02:05 The frameworks that hold the ratio together
02:56 Ten years of Zapier, and what comes next
03:39 The phase where David was the company
04:19 What he took from corporate, and what he refused to rebuild
05:23 The banker who could not explain the quiet office
06:40 Growth, sustainability, and everything after
07:27 What makes a discipline stick when a framework does not
08:00 Give the number to a person and watch what happens
09:12 The prefab roof, the five whys, and a problem that dissolved
10:55 Ninety seven percent would recommend, and the alignment behind it
12:48 The failure point he sees coaching owners
13:06 Founders do not have an effort problem
14:05 Three challenges, three steps, twenty seven questions
15:00 The mindset shift nobody gets to skip
15:55 Build the business as the product
16:30 Claude at Solpak, and no hire without a business case
18:03 The four zones of AI
19:35 Calling a friend's AI receptionist to try to trick it
22:23 The retreat where a team member asked to stop taking calls
23:37 Who should not build a self managed business
25:09 Buy Back Your Time, and the thousand dollar hour
25:54 Who the Sherpa Method is actually for
27:02 What is next for Solpak and Entrepreneur Sherpa
28:01 Where to find David

## About David Salerno

David Salerno founded Solpak, a Quebec based packaging company serving hundreds of food sector clients across Canada, and now works with it as a mentor and guide after selling part of the business to two partners. He wrote Built for Freedom and coaches owners through Entrepreneur Sherpa, built on three pillars, grow, sustain and serve. He is Vice Chairman of the Montreal Economic Institute.

Website and free first chapter: https://davidsalerno.com
Entrepreneur Sherpa: https://entrepreneursherpa.co
LinkedIn: https://www.linkedin.com/in/davidvsalerno/

---

The Operating System Show is for founders who are done being the bottleneck in their own business. If you want to be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Wed, 16 Sep 2026 11:03:19 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/38d8ba05/31e2f562.mp3" length="41918940" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1745</itunes:duration>
      <itunes:summary>David Salerno runs six hundred food sector clients on a team of sixteen, and he will not hire to fix a problem until someone proves it cannot be automated. The banker who could not explain his quiet office, the twenty seven questions behind the Sherpa Method, and where he draws the line on AI.</itunes:summary>
      <itunes:subtitle>David Salerno runs six hundred food sector clients on a team of sixteen, and he will not hire to fix a problem until someone proves it cannot be automated. The banker who could not explain his quiet office, the twenty seven questions behind the Sherpa Met</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Your Team Says They Are at 140% Capacity | Kati Peterman on What a Fractional Operator Actually Fixes</title>
      <itunes:episode>11</itunes:episode>
      <podcast:episode>11</podcast:episode>
      <itunes:title>Your Team Says They Are at 140% Capacity | Kati Peterman on What a Fractional Operator Actually Fixes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">58cb77fd-da45-4fa3-bb95-11d3e6b1f43a</guid>
      <link>https://share.transistor.fm/s/b6139601</link>
      <description>
        <![CDATA[Every founder Kati Peterman meets says a version of the same sentence. I'm just not there yet.

Not there yet for a COO. Not there yet for a real operator. And she has come to believe that sentence almost never means what it sounds like it means. It is rarely about the money. It is that a visionary founder cannot picture what that person would actually do all day, so a big salary looks like a bet on a job description they cannot see.

Her answer is to go find the money first. Outstanding collections, billables, how clients pay and when, merchant services. Unglamorous operational leakage sitting there in almost every company. Fix that in the first weeks and the fractional executive has paid for herself, and the founder stops arguing about whether operations deserves funding.

## In this episode

- What fractional actually means now that the word has gone hot, and what it buys a company not ready for a full time hire
- I'm just not there yet, and why that sentence is usually about understanding rather than budget
- The quick win that funds the role, starting with money the business has already earned and not collected
- A better question than calling a founder a control freak: where does my founder have fear right now
- Placing the right person versus installing the system, and why the operator has to actually enjoy the work
- Education as the thing that makes a system stick after the operator leaves
- Where she refuses to let AI go, including refunds and cancellations, and why the sales conversation is burning leads
- Teams running at 120 to 140% capacity, and what it takes to get back to 70
- Who should not hire a fractional executive

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:10 What fractional actually means, and why the word got hot
03:11 The first COO offer, and the gap she kept seeing
05:04 I'm just not there yet, and what founders really mean by it
08:05 Outstanding collections, billables, and money already on the table
09:10 Founders get a bad rap as control freaks
09:54 The better question: where does my founder have fear right now
14:41 Why the operator has to actually enjoy the work
16:59 Education is true empowerment, and what makes a system stick
23:12 Teams at 120 to 140% capacity, and getting back to 70
24:35 Zero AI in refunds and cancellations
26:08 The thing that is not up for debate: response time
28:50 Who should not hire a fractional executive
30:01 Why franchisee owners became the favorite client
31:40 Where to find Kati

## About Kati Peterman

Kati Peterman came up as a chief of staff and integrator inside seven and eight figure companies, then founded FRX, a national bench of fractional executives placed into small and mid sized businesses. She is also COO of Empire Operating System.

FRX: https://yourfrx.com
LinkedIn: https://www.linkedin.com/in/katipeterman/

If your team is at 140% and hiring is not on the table, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Every founder Kati Peterman meets says a version of the same sentence. I'm just not there yet.

Not there yet for a COO. Not there yet for a real operator. And she has come to believe that sentence almost never means what it sounds like it means. It is rarely about the money. It is that a visionary founder cannot picture what that person would actually do all day, so a big salary looks like a bet on a job description they cannot see.

Her answer is to go find the money first. Outstanding collections, billables, how clients pay and when, merchant services. Unglamorous operational leakage sitting there in almost every company. Fix that in the first weeks and the fractional executive has paid for herself, and the founder stops arguing about whether operations deserves funding.

## In this episode

- What fractional actually means now that the word has gone hot, and what it buys a company not ready for a full time hire
- I'm just not there yet, and why that sentence is usually about understanding rather than budget
- The quick win that funds the role, starting with money the business has already earned and not collected
- A better question than calling a founder a control freak: where does my founder have fear right now
- Placing the right person versus installing the system, and why the operator has to actually enjoy the work
- Education as the thing that makes a system stick after the operator leaves
- Where she refuses to let AI go, including refunds and cancellations, and why the sales conversation is burning leads
- Teams running at 120 to 140% capacity, and what it takes to get back to 70
- Who should not hire a fractional executive

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:10 What fractional actually means, and why the word got hot
03:11 The first COO offer, and the gap she kept seeing
05:04 I'm just not there yet, and what founders really mean by it
08:05 Outstanding collections, billables, and money already on the table
09:10 Founders get a bad rap as control freaks
09:54 The better question: where does my founder have fear right now
14:41 Why the operator has to actually enjoy the work
16:59 Education is true empowerment, and what makes a system stick
23:12 Teams at 120 to 140% capacity, and getting back to 70
24:35 Zero AI in refunds and cancellations
26:08 The thing that is not up for debate: response time
28:50 Who should not hire a fractional executive
30:01 Why franchisee owners became the favorite client
31:40 Where to find Kati

## About Kati Peterman

Kati Peterman came up as a chief of staff and integrator inside seven and eight figure companies, then founded FRX, a national bench of fractional executives placed into small and mid sized businesses. She is also COO of Empire Operating System.

FRX: https://yourfrx.com
LinkedIn: https://www.linkedin.com/in/katipeterman/

If your team is at 140% and hiring is not on the table, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Thu, 10 Sep 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/b6139601/6319da08.mp3" length="46303140" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1928</itunes:duration>
      <itunes:summary>Every founder says the same sentence. I'm just not there yet. Kati Peterman on why that is almost never about the money, and where to find the cash that funds the role.</itunes:summary>
      <itunes:subtitle>Every founder says the same sentence. I'm just not there yet. Kati Peterman on why that is almost never about the money, and where to find the cash that funds the role.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Saying No Is Twice as Safe as Saying Yes | JL Heather on the Can't Culture Killing Your Best Ideas</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>Saying No Is Twice as Safe as Saying Yes | JL Heather on the Can't Culture Killing Your Best Ideas</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">5c4f36e0-e4f6-4cb4-a012-7d554718d860</guid>
      <link>https://share.transistor.fm/s/98645947</link>
      <description>
        <![CDATA[JL Heather has a name for the thing that kills a good idea before anyone notices it died.

He calls it can't culture. Not a person saying no, a system saying it for them. Twelve approvals that take six months. A budget objection, a pay grade objection, a resourcing objection, all of them sounding perfectly reasonable on the way out of someone's mouth. Nobody ever makes the decision to kill the project. It just never survives the trip.

Underneath it is omission bias. Put your name on a ten million dollar bet and the downside is career limiting. Say nothing and your name is on nothing, even when a competitor ships the same idea three months later and makes a fortune. Speaking up costs about twice what staying quiet costs, so people stay quiet, and it feels prudent the whole time.

## In this episode

- Getting a room full of executives to commit to one thing, and why scheduling is the first real obstacle
- Compressing what normally takes three to eighteen months into a five day design sprint
- Building runs at light speed now, learning did not keep up, and that gap is where the risk lives
- The three ways a project dies, ranked from best to worst
- Can't culture, and why it is human nature rather than bad people
- Omission bias, demonstrated live on Matt with a ten million dollar hypothetical
- Ask AI for an Italian plumber and you get Mario, why models pull everything back to the middle
- Where AI genuinely earns its place, and the one job it should never be given
- Four to five people, one room, three months, and failure criteria that count as a win

## Timestamps

00:00 A show about removing the bottleneck in your business
01:04 Getting executives to commit to one thing
03:37 Three to eighteen months compressed into five days
04:56 What kills a project that never ships
06:38 The worst case, nobody realizes what happened
08:54 Is can't culture bad, or just human
09:00 Omission bias, and the CEO of MattDixon.com
10:12 Saying no puts your name on nothing
13:34 Ask AI for an Italian plumber and you get Mario
14:33 Where AI earns its place
17:47 What AI is not, and it is not an innovator
23:26 What happens when the quarter goes sideways
25:19 Hit your failure criteria and you have succeeded
26:36 The tipping point that means you need outside eyes
29:36 Where to find JL

## About JL Heather

JL Heather is managing partner and principal executive coach at Centered, where the Breakthrough Lab method takes teams from a North Star sprint through design sprints and into three to six months of coaching on the thing that actually ships. Twenty years inside organizations, working mostly in the digital space. He is writing a book on can't culture and hosts the Breakthrough Innovation podcast.

Centered: https://centered.work
JL's site: https://jlheather.com

If ideas keep dying in your company and nobody can point at who killed them, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[JL Heather has a name for the thing that kills a good idea before anyone notices it died.

He calls it can't culture. Not a person saying no, a system saying it for them. Twelve approvals that take six months. A budget objection, a pay grade objection, a resourcing objection, all of them sounding perfectly reasonable on the way out of someone's mouth. Nobody ever makes the decision to kill the project. It just never survives the trip.

Underneath it is omission bias. Put your name on a ten million dollar bet and the downside is career limiting. Say nothing and your name is on nothing, even when a competitor ships the same idea three months later and makes a fortune. Speaking up costs about twice what staying quiet costs, so people stay quiet, and it feels prudent the whole time.

## In this episode

- Getting a room full of executives to commit to one thing, and why scheduling is the first real obstacle
- Compressing what normally takes three to eighteen months into a five day design sprint
- Building runs at light speed now, learning did not keep up, and that gap is where the risk lives
- The three ways a project dies, ranked from best to worst
- Can't culture, and why it is human nature rather than bad people
- Omission bias, demonstrated live on Matt with a ten million dollar hypothetical
- Ask AI for an Italian plumber and you get Mario, why models pull everything back to the middle
- Where AI genuinely earns its place, and the one job it should never be given
- Four to five people, one room, three months, and failure criteria that count as a win

## Timestamps

00:00 A show about removing the bottleneck in your business
01:04 Getting executives to commit to one thing
03:37 Three to eighteen months compressed into five days
04:56 What kills a project that never ships
06:38 The worst case, nobody realizes what happened
08:54 Is can't culture bad, or just human
09:00 Omission bias, and the CEO of MattDixon.com
10:12 Saying no puts your name on nothing
13:34 Ask AI for an Italian plumber and you get Mario
14:33 Where AI earns its place
17:47 What AI is not, and it is not an innovator
23:26 What happens when the quarter goes sideways
25:19 Hit your failure criteria and you have succeeded
26:36 The tipping point that means you need outside eyes
29:36 Where to find JL

## About JL Heather

JL Heather is managing partner and principal executive coach at Centered, where the Breakthrough Lab method takes teams from a North Star sprint through design sprints and into three to six months of coaching on the thing that actually ships. Twenty years inside organizations, working mostly in the digital space. He is writing a book on can't culture and hosts the Breakthrough Innovation podcast.

Centered: https://centered.work
JL's site: https://jlheather.com

If ideas keep dying in your company and nobody can point at who killed them, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 08 Sep 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/98645947/b8358a5d.mp3" length="44022960" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1833</itunes:duration>
      <itunes:summary>Nobody decides to kill the project. Twelve approvals and six months do it for them. JL Heather on can't culture, and why saying no is about twice as safe as saying yes.</itunes:summary>
      <itunes:subtitle>Nobody decides to kill the project. Twelve approvals and six months do it for them. JL Heather on can't culture, and why saying no is about twice as safe as saying yes.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>73% Faster With the Same Team | Steve Schroeder on the Invisible Factory Inside Your Business</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>73% Faster With the Same Team | Steve Schroeder on the Invisible Factory Inside Your Business</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">000470a1-34dd-41bc-98ff-497f36226c1b</guid>
      <link>https://share.transistor.fm/s/05428e9c</link>
      <description>
        <![CDATA[Steve Schroeder has spent almost twenty years finding the delays nobody can see.

He calls it the invisible factory. In a plant you can walk the line and watch the widgets pile up at the slow station. In a digital company the same pile ups exist, they are just invisible, sitting in approval queues and handoffs nobody has ever drawn on a wall. His first value stream mapping event ran inside a large telecom during a stalled Agile transformation. They mapped the billing department onto three walls of stickies and cut lead time on new features by 73%. The executive who walked the walls at the end had no idea any of it was happening inside his own company.

## In this episode

- Why a company doing all the right frameworks can still be stuck, and what the framework cannot reach
- The invisible factory, and why digital work hides its own bottlenecks
- Three walls of stickies, a stunned executive, and a 73% cut in lead time
- What changes when AI joins value stream mapping, including rerunning twelve year old data and finding half a dozen more improvements
- Why a company full of individual AI agents can still be slow end to end
- The two roles that decide whether any of it survives: the value stream sponsor and the value stream manager
- What separates the companies that compound from the ones whose map goes in a drawer
- Utilization is the wrong scoreboard, and Messi walks most of the game

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:07 What a framework cannot fix in a stuck company
02:28 A three year Agile transformation that was not working
04:59 Three walls of stickies and a 73% cut in lead time
07:12 What AI adds to value stream mapping
10:09 Why a company full of agents can still be slow
12:24 Flow Killers and Flow Intelligence, who each book is for
17:57 The moment a client's business actually changes
20:58 What survives ninety days and what goes in a drawer
24:08 The sponsor and the value stream manager
29:32 Your developers are 99% utilized and it means nothing
31:00 Who he helps, and the industry he refuses to touch
35:51 Where to find Steve

## About Steve

Steve Schroeder is the founder of EliteFlow Consulting and Solara Analytics. He pioneered digital value stream mapping, bringing a discipline built for factory floors into software organizations where the work is invisible. He wrote Flow Killers, which catalogs the fifty most common things that quietly slow a technology organization, and Flow Intelligence, on marrying value stream mapping to AI.

EliteFlow Consulting: https://eliteflowconsulting.com
Solara Analytics: https://solaraanalytics.ai

If your own business has a handoff you could not draw on a wall if someone asked, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Steve Schroeder has spent almost twenty years finding the delays nobody can see.

He calls it the invisible factory. In a plant you can walk the line and watch the widgets pile up at the slow station. In a digital company the same pile ups exist, they are just invisible, sitting in approval queues and handoffs nobody has ever drawn on a wall. His first value stream mapping event ran inside a large telecom during a stalled Agile transformation. They mapped the billing department onto three walls of stickies and cut lead time on new features by 73%. The executive who walked the walls at the end had no idea any of it was happening inside his own company.

## In this episode

- Why a company doing all the right frameworks can still be stuck, and what the framework cannot reach
- The invisible factory, and why digital work hides its own bottlenecks
- Three walls of stickies, a stunned executive, and a 73% cut in lead time
- What changes when AI joins value stream mapping, including rerunning twelve year old data and finding half a dozen more improvements
- Why a company full of individual AI agents can still be slow end to end
- The two roles that decide whether any of it survives: the value stream sponsor and the value stream manager
- What separates the companies that compound from the ones whose map goes in a drawer
- Utilization is the wrong scoreboard, and Messi walks most of the game

## Timestamps

00:00 A show for founders who are done being the bottleneck
01:07 What a framework cannot fix in a stuck company
02:28 A three year Agile transformation that was not working
04:59 Three walls of stickies and a 73% cut in lead time
07:12 What AI adds to value stream mapping
10:09 Why a company full of agents can still be slow
12:24 Flow Killers and Flow Intelligence, who each book is for
17:57 The moment a client's business actually changes
20:58 What survives ninety days and what goes in a drawer
24:08 The sponsor and the value stream manager
29:32 Your developers are 99% utilized and it means nothing
31:00 Who he helps, and the industry he refuses to touch
35:51 Where to find Steve

## About Steve

Steve Schroeder is the founder of EliteFlow Consulting and Solara Analytics. He pioneered digital value stream mapping, bringing a discipline built for factory floors into software organizations where the work is invisible. He wrote Flow Killers, which catalogs the fifty most common things that quietly slow a technology organization, and Flow Intelligence, on marrying value stream mapping to AI.

EliteFlow Consulting: https://eliteflowconsulting.com
Solara Analytics: https://solaraanalytics.ai

If your own business has a handoff you could not draw on a wall if someone asked, that is the conversation: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Thu, 03 Sep 2026 16:48:40 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/05428e9c/cfc374ba.mp3" length="52415784" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2183</itunes:duration>
      <itunes:summary>Steve Schroeder finds the delays nobody can see. He calls it the invisible factory, and the first time he put one on a wall, a telecom cut lead time on new features by 73%.</itunes:summary>
      <itunes:subtitle>Steve Schroeder finds the delays nobody can see. He calls it the invisible factory, and the first time he put one on a wall, a telecom cut lead time on new features by 73%.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>The AI Flagged Your Best Engineer for Cuts: Alisa Reznik on Why People Decisions Stay Human</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>The AI Flagged Your Best Engineer for Cuts: Alisa Reznik on Why People Decisions Stay Human</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">50d12a3c-3e8a-41c3-a91b-23b07b174cab</guid>
      <link>https://share.transistor.fm/s/4dfbbcb9</link>
      <description>
        <![CDATA[A tracking system did exactly what it was built to do. It showed one senior engineer closing seventy percent fewer tickets than everyone around him, and the CEO put him on the list of people to cut. Alisa Reznik made him go have the conversation first. The engineer was spending his days unblocking the rest of the team, which is why their numbers looked so good and his looked so bad.

Alisa spent nearly two decades managing engineers, worked with more than fifty tech companies, and ran operations as a COO across offices in three countries before leaving to build her own practice, Leadify. She uses AI all day and she is clear about where it does not belong.

## In this episode

The one category of work she refuses to automate, and the rule she uses to decide.

The ticket dashboard that recommended firing the most valuable person on the team.

Why "what is the best AI tool for my business" is the wrong question, and what to ask instead.

The CTO who prepared for a hard feedback conversation, then sent the notes over Slack.

Ten hours a week, and the ordinary CEO work that gets those hours back.

Her test for anything you are thinking of handing over: how big is the mistake you can afford.

The Friday deployment that wiped a client's CRM on Monday morning.

What young founders get wrong when they treat Claude as the person who knows.

## Timestamps

00:00 What this show is, and today's guest
01:10 Why she picked "do not delegate everything to AI"
01:57 Fifty plus tech companies, and the thing that breaks the same way everywhere
04:03 Remote versus onsite, and how she runs engineering teams either way
05:41 The first process she refuses to fully automate
07:42 The tracking system that flagged the wrong engineer for cuts
10:46 AI does not save you, it amplifies what is already there
11:02 "I feel redundant, AI can do what I do"
12:48 The wrong question every engineer is asking right now
15:48 Where AI actually worked, and the ten hours a week it gave back
19:24 Moving faster versus avoiding a hard call
20:08 A better question than "what tool should I buy"
22:36 What young founders are still missing
25:10 The feedback conversation that got sent over Slack
29:00 The four zones, and where AI belongs in each
30:05 The rule: how big is the error you can afford
32:44 The Friday deploy that erased a client's data
36:30 Fixing the system and the person running it
37:36 Where to find Alisa

## About Alisa Reznik

Fractional COO and executive advisor, and the founder of Leadify. Nearly twenty years managing engineers, more than fifty tech companies, and operations across three countries. She mentors at Founder Institute and writes about operations and leadership every week.

Find Alisa on LinkedIn.

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[A tracking system did exactly what it was built to do. It showed one senior engineer closing seventy percent fewer tickets than everyone around him, and the CEO put him on the list of people to cut. Alisa Reznik made him go have the conversation first. The engineer was spending his days unblocking the rest of the team, which is why their numbers looked so good and his looked so bad.

Alisa spent nearly two decades managing engineers, worked with more than fifty tech companies, and ran operations as a COO across offices in three countries before leaving to build her own practice, Leadify. She uses AI all day and she is clear about where it does not belong.

## In this episode

The one category of work she refuses to automate, and the rule she uses to decide.

The ticket dashboard that recommended firing the most valuable person on the team.

Why "what is the best AI tool for my business" is the wrong question, and what to ask instead.

The CTO who prepared for a hard feedback conversation, then sent the notes over Slack.

Ten hours a week, and the ordinary CEO work that gets those hours back.

Her test for anything you are thinking of handing over: how big is the mistake you can afford.

The Friday deployment that wiped a client's CRM on Monday morning.

What young founders get wrong when they treat Claude as the person who knows.

## Timestamps

00:00 What this show is, and today's guest
01:10 Why she picked "do not delegate everything to AI"
01:57 Fifty plus tech companies, and the thing that breaks the same way everywhere
04:03 Remote versus onsite, and how she runs engineering teams either way
05:41 The first process she refuses to fully automate
07:42 The tracking system that flagged the wrong engineer for cuts
10:46 AI does not save you, it amplifies what is already there
11:02 "I feel redundant, AI can do what I do"
12:48 The wrong question every engineer is asking right now
15:48 Where AI actually worked, and the ten hours a week it gave back
19:24 Moving faster versus avoiding a hard call
20:08 A better question than "what tool should I buy"
22:36 What young founders are still missing
25:10 The feedback conversation that got sent over Slack
29:00 The four zones, and where AI belongs in each
30:05 The rule: how big is the error you can afford
32:44 The Friday deploy that erased a client's data
36:30 Fixing the system and the person running it
37:36 Where to find Alisa

## About Alisa Reznik

Fractional COO and executive advisor, and the founder of Leadify. Nearly twenty years managing engineers, more than fifty tech companies, and operations across three countries. She mentors at Founder Institute and writes about operations and leadership every week.

Find Alisa on LinkedIn.

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 01 Sep 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/4dfbbcb9/fbfd9fa0.mp3" length="55411922" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2308</itunes:duration>
      <itunes:summary>A ticket dashboard showed one senior engineer closing seventy percent fewer tickets than his team, so the CEO put him on the cut list. He was the reason everyone else's numbers looked good. Alisa Reznik on the work metrics cannot see.</itunes:summary>
      <itunes:subtitle>A ticket dashboard showed one senior engineer closing seventy percent fewer tickets than his team, so the CEO put him on the cut list. He was the reason everyone else's numbers looked good. Alisa Reznik on the work metrics cannot see.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>85% of Your Calls Don't Need a Human: Timothy Bramlett on Building an AI Receptionist</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>85% of Your Calls Don't Need a Human: Timothy Bramlett on Building an AI Receptionist</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">5ae9b38e-9c25-4d36-9ef8-5f14452c7b1a</guid>
      <link>https://share.transistor.fm/s/0f5aafe8</link>
      <description>
        <![CDATA[Timothy Bramlett bootstrapped an AI receptionist by sitting in a dental office day after day and cloning the tool they already hated paying for. He walked away from HP and Capital One, learned the hard way that building first is the wrong order, and now runs Zinng, an agent that answers the calls a small business misses.

He also tells the story of one after hours call that changed how he thinks about what an agent can handle.

## In this episode

- Why building the product first is the wrong order, and what he does instead
- How to start when you cannot find anyone to talk to: clone an existing tool and niche down
- Narrow and deep versus wide and shallow, and why complexity kills small products
- Why 85% of calls to a small business never needed a person
- Speed to lead in a dental office, and what happens after four rings
- The internal tooling he built with Claude Code, and why his engineers still do not trust AI
- How AI moved the bottleneck from writing code to testing it
- Running several agents at once, and where that breaks down
- Why "good enough" beats a better sounding voice
- Telling every caller it is AI, up front, on purpose
- The after hours call he says changed his mind about what an agent can handle

## Timestamps

00:00 Who Timothy is
01:23 Why he was never any good at being an employee
02:50 The first thing he built, and why it went nowhere
03:42 "That is absolutely not my philosophy"
05:39 Build the channel before you build the product
07:45 When you cannot talk to customers, clone and niche down
10:26 Narrow and deep versus wide and shallow
12:34 Why 85% of small business calls do not need a human
14:34 What it is actually worth to the owner
15:31 Speed to lead, and the four ring handoff
17:30 The internal tooling he built with Claude Code
17:59 Why his engineers use AI and still do not trust it
19:20 AI moved the bottleneck from writing to testing
21:00 The anti AI crowd and who gets left behind
22:04 Can you hand AI a whole job yet
28:00 Running several agents at once
29:14 Local models as the backup plan
31:23 What is next for Zinng
32:26 Why good enough beats better sounding
33:38 Tell them it is AI, up front
35:00 The after hours call that changed his mind
36:31 Where to find Timothy

## About Timothy

Timothy Bramlett is a software engineer turned bootstrapped founder. He spent years at HP and Capital One before leaving to build his own products. He co-founded Stammer, a white label AI platform for agencies, and now builds Zinng, an AI phone agent that answers every call a business misses, flags the emergencies, and works around the clock.

Zinng: https://zinng.ai
Instagram: https://www.instagram.com/timothybramlett/
Stammer: https://stammer.ai

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Timothy Bramlett bootstrapped an AI receptionist by sitting in a dental office day after day and cloning the tool they already hated paying for. He walked away from HP and Capital One, learned the hard way that building first is the wrong order, and now runs Zinng, an agent that answers the calls a small business misses.

He also tells the story of one after hours call that changed how he thinks about what an agent can handle.

## In this episode

- Why building the product first is the wrong order, and what he does instead
- How to start when you cannot find anyone to talk to: clone an existing tool and niche down
- Narrow and deep versus wide and shallow, and why complexity kills small products
- Why 85% of calls to a small business never needed a person
- Speed to lead in a dental office, and what happens after four rings
- The internal tooling he built with Claude Code, and why his engineers still do not trust AI
- How AI moved the bottleneck from writing code to testing it
- Running several agents at once, and where that breaks down
- Why "good enough" beats a better sounding voice
- Telling every caller it is AI, up front, on purpose
- The after hours call he says changed his mind about what an agent can handle

## Timestamps

00:00 Who Timothy is
01:23 Why he was never any good at being an employee
02:50 The first thing he built, and why it went nowhere
03:42 "That is absolutely not my philosophy"
05:39 Build the channel before you build the product
07:45 When you cannot talk to customers, clone and niche down
10:26 Narrow and deep versus wide and shallow
12:34 Why 85% of small business calls do not need a human
14:34 What it is actually worth to the owner
15:31 Speed to lead, and the four ring handoff
17:30 The internal tooling he built with Claude Code
17:59 Why his engineers use AI and still do not trust it
19:20 AI moved the bottleneck from writing to testing
21:00 The anti AI crowd and who gets left behind
22:04 Can you hand AI a whole job yet
28:00 Running several agents at once
29:14 Local models as the backup plan
31:23 What is next for Zinng
32:26 Why good enough beats better sounding
33:38 Tell them it is AI, up front
35:00 The after hours call that changed his mind
36:31 Where to find Timothy

## About Timothy

Timothy Bramlett is a software engineer turned bootstrapped founder. He spent years at HP and Capital One before leaving to build his own products. He co-founded Stammer, a white label AI platform for agencies, and now builds Zinng, an AI phone agent that answers every call a business misses, flags the emergencies, and works around the clock.

Zinng: https://zinng.ai
Instagram: https://www.instagram.com/timothybramlett/
Stammer: https://stammer.ai

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Thu, 27 Aug 2026 14:56:15 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/0f5aafe8/369aed98.mp3" length="54699714" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2278</itunes:duration>
      <itunes:summary>Timothy Bramlett bootstrapped an AI receptionist by sitting in a dental office and cloning the tool they already hated paying for. He explains why 85% of the calls a small business gets never needed a person.</itunes:summary>
      <itunes:subtitle>Timothy Bramlett bootstrapped an AI receptionist by sitting in a dental office and cloning the tool they already hated paying for. He explains why 85% of the calls a small business gets never needed a person.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Irritation Is Operational Data: Gwen Taniguchi on Getting Your Business Ready to Sell</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>Irritation Is Operational Data: Gwen Taniguchi on Getting Your Business Ready to Sell</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">219e6a4a-3295-4a9b-9cd3-217740787b67</guid>
      <link>https://share.transistor.fm/s/3cab37ed</link>
      <description>
        <![CDATA[Gwen Taniguchi is a Certified Exit Planning Advisor and partner at Peek Advisory. Her diagnostic tool is one nobody talks about: the low grade irritation inside a team. "Why do I always have to fix this?" is not venting, it is a map of where the business depends on one person. Revenue hides operational dysfunction, and Gwen follows the irritation to find it.

## In this episode

* Why exit planning is really about optionality: sell, hire a CEO, or step up to founder, your choice
* The quarter test: surviving two weeks without the owner proves nothing
* How founder dependency starts on purpose and grows insidiously
* Why SOPs alone fail when one person holds the tribal knowledge
* Delegating ownership instead of tasks, and what "done right" has to mean
* Where AI belongs in operations and accounting, and where it never should go
* What buyers actually pay a higher multiple for in diligence

## Timestamps

00:31 Who Gwen is and what exit planning really means
02:42 Irritation as operational data
05:43 The quarter test, what exit ready operations look like
07:35 How founder dependency starts
11:41 The collections story and exception culture
13:49 Gwen's three part approach: leadership, ownership, execution
14:51 Tools: ClickUp and AI agents
16:40 Should AI replace whole departments
20:58 Delegating ownership, not tasks
25:17 What buyers pay a higher multiple for
26:34 When to start exit planning
27:48 What is next at Peek Advisory

## Find Gwen

Peek Advisory: https://www.peekadvisory.com
LinkedIn: https://www.linkedin.com/in/gwentaniguchi/

## The Operating System Show

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Gwen Taniguchi is a Certified Exit Planning Advisor and partner at Peek Advisory. Her diagnostic tool is one nobody talks about: the low grade irritation inside a team. "Why do I always have to fix this?" is not venting, it is a map of where the business depends on one person. Revenue hides operational dysfunction, and Gwen follows the irritation to find it.

## In this episode

* Why exit planning is really about optionality: sell, hire a CEO, or step up to founder, your choice
* The quarter test: surviving two weeks without the owner proves nothing
* How founder dependency starts on purpose and grows insidiously
* Why SOPs alone fail when one person holds the tribal knowledge
* Delegating ownership instead of tasks, and what "done right" has to mean
* Where AI belongs in operations and accounting, and where it never should go
* What buyers actually pay a higher multiple for in diligence

## Timestamps

00:31 Who Gwen is and what exit planning really means
02:42 Irritation as operational data
05:43 The quarter test, what exit ready operations look like
07:35 How founder dependency starts
11:41 The collections story and exception culture
13:49 Gwen's three part approach: leadership, ownership, execution
14:51 Tools: ClickUp and AI agents
16:40 Should AI replace whole departments
20:58 Delegating ownership, not tasks
25:17 What buyers pay a higher multiple for
26:34 When to start exit planning
27:48 What is next at Peek Advisory

## Find Gwen

Peek Advisory: https://www.peekadvisory.com
LinkedIn: https://www.linkedin.com/in/gwentaniguchi/

## The Operating System Show

Listen: https://feeds.transistor.fm/the-operating-system-show
Be a guest: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 25 Aug 2026 12:13:34 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/3cab37ed/82f59ade.mp3" length="44611015" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1858</itunes:duration>
      <itunes:summary>Exit planner Gwen Taniguchi explains why the low grade irritation inside a team is the clearest map of operational dysfunction, and what buyers actually pay a higher multiple for.</itunes:summary>
      <itunes:subtitle>Exit planner Gwen Taniguchi explains why the low grade irritation inside a team is the clearest map of operational dysfunction, and what buyers actually pay a higher multiple for.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>They Don't Want to Buy Your Job: Peter Boolkah on What Founder Dependency Costs at Exit</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>They Don't Want to Buy Your Job: Peter Boolkah on What Founder Dependency Costs at Exit</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">ee277378-c877-4056-8751-d16ed210d1a5</guid>
      <link>https://share.transistor.fm/s/dbb9e530</link>
      <description>
        <![CDATA[Peter Boolkah spent fifteen years inside McDonald's, which is about the most ruthlessly systematized business on the planet, and then spent twenty one years coaching owners out of the trap he watched them build. His line, and the title of his book, is that if the business cannot run without you then you do not own it, it owns you.

The part of this one that will sting is the exit math. When a buyer sees that the founder is load bearing, they do not walk away. They discount.

## In this episode

* Why a twenty year old could run a three million pound restaurant, and why the same kid could not be trusted with a company car
* How founders train the company to depend on them in the years before the first hire
* The first employee, and the loop where the owner ends up doing both jobs
* What a private equity buyer actually looks at, and why founder dependency turns into a price cut
* The split deal, roughly 40 percent up front and the rest tied to numbers you no longer control
* Why getting a company ready to sell starts about five years out
* Everybody overcomplicates it before they learn to simplify it
* The 25 year goal, and why anything shorter keeps the founder in the middle
* Do not be lazy with AI, and what lazy actually costs

## Timestamps

00:00 Intro
01:11 Fifteen years inside McDonald's, starting at sixteen
01:50 Taylorism, and a twenty year old running a three million pound restaurant
04:19 You do not own a business, your business owns you
04:54 How the dependency gets trained in from day one
07:32 The first hire, and why it often makes things worse
09:08 Influence instead of control
10:41 Choosing Scaling Up, and leaving after sixteen years
13:17 What a buyer looks at in due diligence
14:46 Why founder dependency becomes a discount
15:56 The 40 percent up front and the earnout behind it
17:40 Getting a business ready to sell, five years out
18:51 Complexity fails, simplicity scales
21:29 Steve Jobs, the first tenure and the second
23:45 Consistency as a strategy, McDonald's and Chick-fil-A
26:22 What he looks at on the first deep dive
28:00 What do you actually want out of your life
30:14 The 25 year goal
31:57 Why he wrote Your Business Sucks
36:42 Do not be lazy with AI
40:05 Where to find Peter

## Peter Boolkah

Known as The Transition Guy. Fifteen years at McDonald's, then twenty one years coaching owners across five continents, taking companies through to sale and IPO. His book is Your Business Sucks, on Amazon. He is at boolkah.com

## A note on the book

Peter mentions a 99 cent Kindle price near the end. That was a launch offer at the time we recorded, so check Amazon for the current price.

## One more thing

Most of what makes a business hard to sell is the stuff living in one person's head. That is the work I do at Front Range Systems: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Peter Boolkah spent fifteen years inside McDonald's, which is about the most ruthlessly systematized business on the planet, and then spent twenty one years coaching owners out of the trap he watched them build. His line, and the title of his book, is that if the business cannot run without you then you do not own it, it owns you.

The part of this one that will sting is the exit math. When a buyer sees that the founder is load bearing, they do not walk away. They discount.

## In this episode

* Why a twenty year old could run a three million pound restaurant, and why the same kid could not be trusted with a company car
* How founders train the company to depend on them in the years before the first hire
* The first employee, and the loop where the owner ends up doing both jobs
* What a private equity buyer actually looks at, and why founder dependency turns into a price cut
* The split deal, roughly 40 percent up front and the rest tied to numbers you no longer control
* Why getting a company ready to sell starts about five years out
* Everybody overcomplicates it before they learn to simplify it
* The 25 year goal, and why anything shorter keeps the founder in the middle
* Do not be lazy with AI, and what lazy actually costs

## Timestamps

00:00 Intro
01:11 Fifteen years inside McDonald's, starting at sixteen
01:50 Taylorism, and a twenty year old running a three million pound restaurant
04:19 You do not own a business, your business owns you
04:54 How the dependency gets trained in from day one
07:32 The first hire, and why it often makes things worse
09:08 Influence instead of control
10:41 Choosing Scaling Up, and leaving after sixteen years
13:17 What a buyer looks at in due diligence
14:46 Why founder dependency becomes a discount
15:56 The 40 percent up front and the earnout behind it
17:40 Getting a business ready to sell, five years out
18:51 Complexity fails, simplicity scales
21:29 Steve Jobs, the first tenure and the second
23:45 Consistency as a strategy, McDonald's and Chick-fil-A
26:22 What he looks at on the first deep dive
28:00 What do you actually want out of your life
30:14 The 25 year goal
31:57 Why he wrote Your Business Sucks
36:42 Do not be lazy with AI
40:05 Where to find Peter

## Peter Boolkah

Known as The Transition Guy. Fifteen years at McDonald's, then twenty one years coaching owners across five continents, taking companies through to sale and IPO. His book is Your Business Sucks, on Amazon. He is at boolkah.com

## A note on the book

Peter mentions a 99 cent Kindle price near the end. That was a launch offer at the time we recorded, so check Amazon for the current price.

## One more thing

Most of what makes a business hard to sell is the stuff living in one person's head. That is the work I do at Front Range Systems: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 18 Aug 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/dbb9e530/b8cbe26e.mp3" length="20030184" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>2499</itunes:duration>
      <itunes:summary>Peter Boolkah spent fifteen years inside McDonald's and twenty one years coaching owners out of the trap they build for themselves. He explains why a buyer discounts a founder dependent business, how the split deal actually works, and what it takes to be sellable.</itunes:summary>
      <itunes:subtitle>Peter Boolkah spent fifteen years inside McDonald's and twenty one years coaching owners out of the trap they build for themselves. He explains why a buyer discounts a founder dependent business, how the split deal actually works, and what it takes to be </itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>30 Points of Engagement in Six Hours: Omar L. Harris on Culture Operating Systems</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>30 Points of Engagement in Six Hours: Omar L. Harris on Culture Operating Systems</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">83d0bcad-2fdc-44aa-8aab-c0c7a4084858</guid>
      <link>https://share.transistor.fm/s/9fce3303</link>
      <description>
        <![CDATA[Omar L. Harris ran a 900 person organization in Indonesia and nearly sank it with a handful of bad hires. To dig out, he wrote himself a manual. That manual became a book, the book became eight more, and the whole thing became a framework for the part of a business most founders treat as an afterthought.

Matt builds operating systems out of software. Omar builds them out of people. Same word, opposite raw material, and the conversation goes straight at where the two meet.

## In this episode

* Why a resume is a marketing document, and what actually predicts how someone shows up
* The difference between a personality test and a character test, which is what you choose under pressure
* Six hours with a team, fourteen teams, and a 30 point jump in engagement six weeks later
* Why culture built with a team sticks and culture handed to a team does not
* The three things that send any team back to square one
* The person who knows everything, and the incentive quietly paying them to stay that way
* Where AI stops being useful and human judgment takes over

## Timestamps

00:00 Intro
00:49 Nine books, and a novel that took twelve years
01:34 Rebuilding a 900 person organization in Indonesia
02:25 Grow With W.H.O.M., eleven years in the making
03:08 Why pedigree and references predict less than behavior
04:29 Character assessment versus personality assessment
05:17 Walking away from the corporate job, twice
06:27 What carries across every market he has worked in
08:26 What a culture operating system actually is
10:43 Forming, storming, norming, performing, and how to speed it up
11:43 The three things that send any team back to forming
14:30 Fourteen teams, six hours each, 30 points of engagement
16:19 What happens after the first engagement ends
17:20 Where AI stops and judgment starts
20:24 Who should not install a culture operating system
22:09 Tribal knowledge and the incentive behind it
24:29 The assessments he is certified on and how he uses them
26:10 Where to find Omar

## Omar L. Harris

Founder of Intent Consulting and author of nine books, including Leaderboard: The DNA of High Performing Teams and his latest, Grow With W.H.O.M. Former general manager for a pharmaceutical business in Indonesia, with earlier roles in Brazil and Turkey.

W.H.O.M. stands for Work Ethic, Heart, Optimism, Maturity. The book and the free character assessment are both at growwithwhom.com. He is on LinkedIn as Omar L. Harris.

## One more thing

If your business runs on what one person happens to remember, that is a systems problem before it is a people problem. That is the work I do at Front Range Systems: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Omar L. Harris ran a 900 person organization in Indonesia and nearly sank it with a handful of bad hires. To dig out, he wrote himself a manual. That manual became a book, the book became eight more, and the whole thing became a framework for the part of a business most founders treat as an afterthought.

Matt builds operating systems out of software. Omar builds them out of people. Same word, opposite raw material, and the conversation goes straight at where the two meet.

## In this episode

* Why a resume is a marketing document, and what actually predicts how someone shows up
* The difference between a personality test and a character test, which is what you choose under pressure
* Six hours with a team, fourteen teams, and a 30 point jump in engagement six weeks later
* Why culture built with a team sticks and culture handed to a team does not
* The three things that send any team back to square one
* The person who knows everything, and the incentive quietly paying them to stay that way
* Where AI stops being useful and human judgment takes over

## Timestamps

00:00 Intro
00:49 Nine books, and a novel that took twelve years
01:34 Rebuilding a 900 person organization in Indonesia
02:25 Grow With W.H.O.M., eleven years in the making
03:08 Why pedigree and references predict less than behavior
04:29 Character assessment versus personality assessment
05:17 Walking away from the corporate job, twice
06:27 What carries across every market he has worked in
08:26 What a culture operating system actually is
10:43 Forming, storming, norming, performing, and how to speed it up
11:43 The three things that send any team back to forming
14:30 Fourteen teams, six hours each, 30 points of engagement
16:19 What happens after the first engagement ends
17:20 Where AI stops and judgment starts
20:24 Who should not install a culture operating system
22:09 Tribal knowledge and the incentive behind it
24:29 The assessments he is certified on and how he uses them
26:10 Where to find Omar

## Omar L. Harris

Founder of Intent Consulting and author of nine books, including Leaderboard: The DNA of High Performing Teams and his latest, Grow With W.H.O.M. Former general manager for a pharmaceutical business in Indonesia, with earlier roles in Brazil and Turkey.

W.H.O.M. stands for Work Ethic, Heart, Optimism, Maturity. The book and the free character assessment are both at growwithwhom.com. He is on LinkedIn as Omar L. Harris.

## One more thing

If your business runs on what one person happens to remember, that is a systems problem before it is a people problem. That is the work I do at Front Range Systems: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 11 Aug 2026 05:12:00 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/9fce3303/e2b3325d.mp3" length="13122567" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1636</itunes:duration>
      <itunes:summary>Omar L. Harris ran a 900 person organization in Indonesia and nearly sank it with a handful of bad hires. He explains the character framework he wrote to save himself, why a resume predicts almost nothing, and how six hours with a team moved engagement 30 points.</itunes:summary>
      <itunes:subtitle>Omar L. Harris ran a 900 person organization in Indonesia and nearly sank it with a handful of bad hires. He explains the character framework he wrote to save himself, why a resume predicts almost nothing, and how six hours with a team moved engagement 30</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>From 7 to 150 People: How Sean Griffith Scaled SimpleTexting and Now Ships Features Overnight with AI</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>From 7 to 150 People: How Sean Griffith Scaled SimpleTexting and Now Ships Features Overnight with AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">4d0ba85f-d3c3-4365-b438-660b5f811e89</guid>
      <link>https://share.transistor.fm/s/51f605bd</link>
      <description>
        <![CDATA[Sean Griffith joined SimpleTexting at seven people and helped grow it to about 150 in under four years, through an acquisition, without a dedicated sales team for most of that run. He is now CEO and cofounder of Truffle, a candidate screening platform for small and mid sized businesses.

We cover what actually made that scale work, why EOS was the unlock at 50 people, and the overnight release pipeline his team runs now that would have taken three or four people a month before.

## In this episode

* Hiring conservatively and putting the cash into SEO instead of ad spend
* Settling on an operating model at 40 to 50 people, then running it loosely on purpose
* The overnight pipeline: product catalog, help center articles, customer email, and a feature video, all queued for approval in the morning
* One front end developer turning a product brief into a shipped feature in a couple of days
* Why Truffle surfaces signal and never makes the hire or pass decision
* Assessments built so an AI assisted candidate cannot game them
* Why they deliberately did not build an AI interviewer
* The real cost of a founder reading resumes at 9 PM

## Timestamps

* 00:00 Meet Sean Griffith, CEO and cofounder of Truffle
* 01:17 The problem that started it: 2,000 applications per role
* 03:18 What it actually took to scale SimpleTexting
* 04:50 Choosing an operating model at 40 to 50 people
* 06:06 Scaling pre AI versus scaling with AI
* 07:21 The overnight feature release pipeline
* 09:00 Values, L10s, rocks, right person right seat
* 11:41 Running EOS your own way instead of by the book
* 12:45 What Truffle does
* 15:14 Signal versus decision, keeping the human in the loop
* 16:42 Where the line between human judgment and AI sits today
* 18:08 Who Truffle fits and who it does not
* 19:17 The real cost of screening resumes yourself
* 22:29 One developer delivering a full feature from a brief
* 25:33 What is next for Truffle
* 28:08 Where to find Sean

## Links

* Truffle: https://hiretruffle.com (free trial)
* Sean: sean@hiretruffle.com

Want your own business running without you in every decision? https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Sean Griffith joined SimpleTexting at seven people and helped grow it to about 150 in under four years, through an acquisition, without a dedicated sales team for most of that run. He is now CEO and cofounder of Truffle, a candidate screening platform for small and mid sized businesses.

We cover what actually made that scale work, why EOS was the unlock at 50 people, and the overnight release pipeline his team runs now that would have taken three or four people a month before.

## In this episode

* Hiring conservatively and putting the cash into SEO instead of ad spend
* Settling on an operating model at 40 to 50 people, then running it loosely on purpose
* The overnight pipeline: product catalog, help center articles, customer email, and a feature video, all queued for approval in the morning
* One front end developer turning a product brief into a shipped feature in a couple of days
* Why Truffle surfaces signal and never makes the hire or pass decision
* Assessments built so an AI assisted candidate cannot game them
* Why they deliberately did not build an AI interviewer
* The real cost of a founder reading resumes at 9 PM

## Timestamps

* 00:00 Meet Sean Griffith, CEO and cofounder of Truffle
* 01:17 The problem that started it: 2,000 applications per role
* 03:18 What it actually took to scale SimpleTexting
* 04:50 Choosing an operating model at 40 to 50 people
* 06:06 Scaling pre AI versus scaling with AI
* 07:21 The overnight feature release pipeline
* 09:00 Values, L10s, rocks, right person right seat
* 11:41 Running EOS your own way instead of by the book
* 12:45 What Truffle does
* 15:14 Signal versus decision, keeping the human in the loop
* 16:42 Where the line between human judgment and AI sits today
* 18:08 Who Truffle fits and who it does not
* 19:17 The real cost of screening resumes yourself
* 22:29 One developer delivering a full feature from a brief
* 25:33 What is next for Truffle
* 28:08 Where to find Sean

## Links

* Truffle: https://hiretruffle.com (free trial)
* Sean: sean@hiretruffle.com

Want your own business running without you in every decision? https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 04 Aug 2026 11:55:32 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/51f605bd/cbf10245.mp3" length="41109737" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1712</itunes:duration>
      <itunes:summary>Sean Griffith grew SimpleTexting from seven people to about 150 in under four years. He breaks down the hiring discipline behind it, why EOS was the biggest unlock, and the AI release pipeline his team at Truffle runs while everyone sleeps.</itunes:summary>
      <itunes:subtitle>Sean Griffith grew SimpleTexting from seven people to about 150 in under four years. He breaks down the hiring discipline behind it, why EOS was the biggest unlock, and the AI release pipeline his team at Truffle runs while everyone sleeps.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Why 95% of AI Pilots Fail and How to Build a Business You Can Sell, with Ted Wolf</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Why 95% of AI Pilots Fail and How to Build a Business You Can Sell, with Ted Wolf</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">278b3b9f-7729-4cea-bc96-042dce42f28f</guid>
      <link>https://share.transistor.fm/s/0f9f8fbc</link>
      <description>
        <![CDATA[Ted Wolf started at IBM in the 1970s, built an IT services company to 650 people with his brother, and sold it to Iron Mountain in 2018. Now he runs GuideWise, helping founders put agentic AI into the machinery of their business without the hype. He also wrote a book, The Intelligent Business Equation, a formula for turning a people dependent company into one you can actually sell.

In this conversation Ted and Matt get into what it really feels like to scale to 650 people (and scale back down through four recessions), why most AI pilots fail, and the five moves that make a business transferable at a high multiple.

## In this episode
- What scaling to 650 people and then reverse scaling through four recessions actually felt like
- Why AI has to be grounded in a business objective that hits the bottom line, not writing better emails or prettier slides
- The reason roughly 95% of AI pilots fail, and what the winners do differently
- How AI makes a business simpler instead of more complex by killing the daily fires
- The five closes that turn a people dependent business into one you can sell, refinance, or pass on
- Where AI does not belong, and why character and guardrails matter more as it spreads

## Timestamps
- 00:00 Ted's background: IBM in the 70s, 650 people, sold to Iron Mountain
- 01:15 What scaling to 650 people actually felt like
- 03:41 The three things to learn: technology, how a business runs, how you run as a person
- 04:59 Rolling out new tech and getting real adoption
- 07:23 Start small, lower the risk, land the beach
- 11:17 Why 95% of AI pilots fail
- 13:06 How AI simplifies a business and kills the firefighting
- 16:02 The 90 day AI boot camp and the flywheel of learning
- 20:01 The book: The Intelligent Business Equation
- 20:55 The five closes that make your business sellable
- 25:01 Where AI should stay out, character and guardrails
- 26:32 Critical thinking and human connection in an AI world
- 28:17 What is next for GuideWise: building a community
- 29:38 High tech, high touch

## Ted Wolf
- Book: The Intelligent Business Equation
- Website: guidewise.ai
- Email: ted@guidewise.ai
- LinkedIn: Ted Wolf

If you want to build these systems into your own business, book a call: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[Ted Wolf started at IBM in the 1970s, built an IT services company to 650 people with his brother, and sold it to Iron Mountain in 2018. Now he runs GuideWise, helping founders put agentic AI into the machinery of their business without the hype. He also wrote a book, The Intelligent Business Equation, a formula for turning a people dependent company into one you can actually sell.

In this conversation Ted and Matt get into what it really feels like to scale to 650 people (and scale back down through four recessions), why most AI pilots fail, and the five moves that make a business transferable at a high multiple.

## In this episode
- What scaling to 650 people and then reverse scaling through four recessions actually felt like
- Why AI has to be grounded in a business objective that hits the bottom line, not writing better emails or prettier slides
- The reason roughly 95% of AI pilots fail, and what the winners do differently
- How AI makes a business simpler instead of more complex by killing the daily fires
- The five closes that turn a people dependent business into one you can sell, refinance, or pass on
- Where AI does not belong, and why character and guardrails matter more as it spreads

## Timestamps
- 00:00 Ted's background: IBM in the 70s, 650 people, sold to Iron Mountain
- 01:15 What scaling to 650 people actually felt like
- 03:41 The three things to learn: technology, how a business runs, how you run as a person
- 04:59 Rolling out new tech and getting real adoption
- 07:23 Start small, lower the risk, land the beach
- 11:17 Why 95% of AI pilots fail
- 13:06 How AI simplifies a business and kills the firefighting
- 16:02 The 90 day AI boot camp and the flywheel of learning
- 20:01 The book: The Intelligent Business Equation
- 20:55 The five closes that make your business sellable
- 25:01 Where AI should stay out, character and guardrails
- 26:32 Critical thinking and human connection in an AI world
- 28:17 What is next for GuideWise: building a community
- 29:38 High tech, high touch

## Ted Wolf
- Book: The Intelligent Business Equation
- Website: guidewise.ai
- Email: ted@guidewise.ai
- LinkedIn: Ted Wolf

If you want to build these systems into your own business, book a call: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 28 Jul 2026 11:01:19 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/0f9f8fbc/b736475c.mp3" length="14859605" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1853</itunes:duration>
      <itunes:summary>Ted Wolf scaled an IT company to 650 people and sold it to Iron Mountain. Now he shows founders how to use AI to build a business that runs without them and sells at a high multiple.</itunes:summary>
      <itunes:subtitle>Ted Wolf scaled an IT company to 650 people and sold it to Iron Mountain. Now he shows founders how to use AI to build a business that runs without them and sells at a high multiple.</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>How to Build a Business That Runs Without You, with David Hori</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>How to Build a Business That Runs Without You, with David Hori</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">0c378535-7b6d-4ac7-b36c-8ddb91c4d563</guid>
      <link>https://share.transistor.fm/s/ac6d9786</link>
      <description>
        <![CDATA[David Hori is the founder of Top Line Operators. He buys businesses that already work and makes them work better, and along the way he has become obsessed with one question: does this business need its owner to survive?

We get into what he looks for before he buys, how he untangles an owner running five companies under one roof, and why AI multiplies whatever is already there instead of fixing what is broken.

## In this episode
- The criteria David uses before he will buy a business, and why he never touches turnarounds
- Why "you are the business" is the most expensive sentence an owner can hear
- The durability diagnostic: four pillars that decide whether your business is worth buying
- Owner dependency, concentration risk, and the tribal knowledge locked in one person's head
- Why AI is an amplifier, not a magic pill, and where he actually uses it
- The fear that stops owners from hiring people smarter than themselves

## Timestamps
- 00:41 Meet David Hori and Top Line Operators
- 02:14 What makes a business worth buying
- 03:17 The process once he is inside
- 04:01 Staying small by keeping things complicated
- 10:14 AI is an amplifier, not a magic pill
- 14:20 The durability diagnostic and its four pillars
- 16:10 Tribal knowledge and the owner who is the bottleneck
- 20:11 What a business operating system does for an owner
- 21:30 David's free offer for the first ten owners
- 26:41 Where to find David

## Find David
- Instagram: @thedavidhori
- Web: toplineops.com

If your business still runs through you, that is the thing worth fixing first. Book a call: https://crm.frontrangesystems.com/discovery]]>
      </description>
      <content:encoded>
        <![CDATA[David Hori is the founder of Top Line Operators. He buys businesses that already work and makes them work better, and along the way he has become obsessed with one question: does this business need its owner to survive?

We get into what he looks for before he buys, how he untangles an owner running five companies under one roof, and why AI multiplies whatever is already there instead of fixing what is broken.

## In this episode
- The criteria David uses before he will buy a business, and why he never touches turnarounds
- Why "you are the business" is the most expensive sentence an owner can hear
- The durability diagnostic: four pillars that decide whether your business is worth buying
- Owner dependency, concentration risk, and the tribal knowledge locked in one person's head
- Why AI is an amplifier, not a magic pill, and where he actually uses it
- The fear that stops owners from hiring people smarter than themselves

## Timestamps
- 00:41 Meet David Hori and Top Line Operators
- 02:14 What makes a business worth buying
- 03:17 The process once he is inside
- 04:01 Staying small by keeping things complicated
- 10:14 AI is an amplifier, not a magic pill
- 14:20 The durability diagnostic and its four pillars
- 16:10 Tribal knowledge and the owner who is the bottleneck
- 20:11 What a business operating system does for an owner
- 21:30 David's free offer for the first ten owners
- 26:41 Where to find David

## Find David
- Instagram: @thedavidhori
- Web: toplineops.com

If your business still runs through you, that is the thing worth fixing first. Book a call: https://crm.frontrangesystems.com/discovery]]>
      </content:encoded>
      <pubDate>Tue, 21 Jul 2026 09:56:10 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/ac6d9786/37b7e024.mp3" length="12962888" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>1616</itunes:duration>
      <itunes:summary>David Hori buys profitable businesses and grows them. He breaks down what actually makes a business worth buying, why most owners are accidentally selling a job instead of a business, and how his durability diagnostic finds the cracks before they cost you.</itunes:summary>
      <itunes:subtitle>David Hori buys profitable businesses and grows them. He breaks down what actually makes a business worth buying, why most owners are accidentally selling a job instead of a business, and how his durability diagnostic finds the cracks before they cost you</itunes:subtitle>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Your Business Depends on a System You Don't Own</title>
      <itunes:title>Your Business Depends on a System You Don't Own</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">849c449b-9493-4b22-9f33-44e3e0e0c055</guid>
      <link>https://share.transistor.fm/s/61d69655</link>
      <description>
        <![CDATA[<p>Everything your business knows walks out at 5pm. You rent it back every morning. And every time someone leaves, you lose a piece of how the place runs.</p><p>That's the problem The Operating System Show exists to solve.</p><p>I'm Matt Dixon, fractional CTO. I talk to the founders, COOs, and executives who are figuring out how to get their companies to run without every answer living in one person's head.</p><p>Every week: what broke, what they rebuilt, and where the real leverage was.</p><p>New episodes every week. Subscribe so you don't miss one.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Everything your business knows walks out at 5pm. You rent it back every morning. And every time someone leaves, you lose a piece of how the place runs.</p><p>That's the problem The Operating System Show exists to solve.</p><p>I'm Matt Dixon, fractional CTO. I talk to the founders, COOs, and executives who are figuring out how to get their companies to run without every answer living in one person's head.</p><p>Every week: what broke, what they rebuilt, and where the real leverage was.</p><p>New episodes every week. Subscribe so you don't miss one.</p>]]>
      </content:encoded>
      <pubDate>Tue, 30 Jun 2026 11:49:43 -0500</pubDate>
      <author>Matt Dixon</author>
      <enclosure url="https://media.transistor.fm/61d69655/a7dba588.mp3" length="993241" type="audio/mpeg"/>
      <itunes:author>Matt Dixon</itunes:author>
      <itunes:duration>63</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Everything your business knows walks out at 5pm. You rent it back every morning. And every time someone leaves, you lose a piece of how the place runs.</p><p>That's the problem The Operating System Show exists to solve.</p><p>I'm Matt Dixon, fractional CTO. I talk to the founders, COOs, and executives who are figuring out how to get their companies to run without every answer living in one person's head.</p><p>Every week: what broke, what they rebuilt, and where the real leverage was.</p><p>New episodes every week. Subscribe so you don't miss one.</p>]]>
      </itunes:summary>
      <itunes:keywords>business operations, operating system, scaling a business, founder, CEO, COO, EOS, Scaling Up, business systems, AI for business, automation, leadership, mid-market, company growth, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
  </channel>
</rss>
