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    <title>AI for Every Business</title>
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    <description>For the last three years, the story of AI has been written by the largest companies in the world. They have the data teams, the integration budgets and the patience to run a pilot for eighteen months. The thirty-three million businesses that employ most of the country got something else: a chat window, a monthly subscription, and a vague instruction to figure it out.

AI for Every Business is about moving that curve. It is a weekly show for the owners and operators of small and mid-size companies, the people who run restaurants, trades, brokerages, distributors and professional firms, and who have been told AI would change their business without ever seeing it change a Monday morning.

Every episode starts with a real business and a real problem. The invoices nobody chases. The schedule built by hand every Sunday night. The lead that goes cold between the website and a callback. The process that lives in one employee's head. We follow each one through the four things AI has to do to earn its keep: collect the data from the systems the business already runs, understand it, orchestrate the work across people and software, and produce an outcome the owner can put a number on. Hours back. Dollars saved. Errors that stopped happening.

Some weeks the show is a conversation: owners on what they tried, what failed, what finally worked, and what they would tell a peer. Some weeks it is live. An owner brings a pain point, the clock starts, and the problem is solved on air in thirty minutes, with the cost to run it shown on screen before the episode ends.

The show is produced by the team behind LIBBi, the orchestration platform built on a simple idea: that every business, not just the enterprise, should be able to describe a problem in plain language and have it solved, with building free and the price set by what the work costs to run. LIBBi comes up when it is the answer. The business is always the subject.

AI was supposed to be for everyone. This is the show that holds it to that.</description>
    <copyright>@ InChannel LLC 2026</copyright>
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    <pubDate>Sun, 11 Oct 2026 13:26:02 -0400</pubDate>
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    <link>https://www.inchannel.ai</link>
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      <title>AI for Every Business</title>
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    <itunes:author>Daniel Perorne</itunes:author>
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    <itunes:summary>For the last three years, the story of AI has been written by the largest companies in the world. They have the data teams, the integration budgets and the patience to run a pilot for eighteen months. The thirty-three million businesses that employ most of the country got something else: a chat window, a monthly subscription, and a vague instruction to figure it out.

AI for Every Business is about moving that curve. It is a weekly show for the owners and operators of small and mid-size companies, the people who run restaurants, trades, brokerages, distributors and professional firms, and who have been told AI would change their business without ever seeing it change a Monday morning.

Every episode starts with a real business and a real problem. The invoices nobody chases. The schedule built by hand every Sunday night. The lead that goes cold between the website and a callback. The process that lives in one employee's head. We follow each one through the four things AI has to do to earn its keep: collect the data from the systems the business already runs, understand it, orchestrate the work across people and software, and produce an outcome the owner can put a number on. Hours back. Dollars saved. Errors that stopped happening.

Some weeks the show is a conversation: owners on what they tried, what failed, what finally worked, and what they would tell a peer. Some weeks it is live. An owner brings a pain point, the clock starts, and the problem is solved on air in thirty minutes, with the cost to run it shown on screen before the episode ends.

The show is produced by the team behind LIBBi, the orchestration platform built on a simple idea: that every business, not just the enterprise, should be able to describe a problem in plain language and have it solved, with building free and the price set by what the work costs to run. LIBBi comes up when it is the answer. The business is always the subject.

AI was supposed to be for everyone. This is the show that holds it to that.</itunes:summary>
    <itunes:subtitle>For the last three years, the story of AI has been written by the largest companies in the world.</itunes:subtitle>
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      <itunes:name>Daniel Perrone</itunes:name>
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    <itunes:complete>No</itunes:complete>
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        <![CDATA[<p>AI was supposed to transform business. For most small and mid-sized companies, it’s delivered big bills and little to show for it. This podcast cuts through the hype to explore what actually works: connecting your data, putting AI tools in one place, automating real processes, and paying only for what you use. Drawing on lessons from the early internet, we look at how AI will finally become practical and affordable for businesses of every size.</p>]]>
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        <![CDATA[<p>AI was supposed to transform business. For most small and mid-sized companies, it’s delivered big bills and little to show for it. This podcast cuts through the hype to explore what actually works: connecting your data, putting AI tools in one place, automating real processes, and paying only for what you use. Drawing on lessons from the early internet, we look at how AI will finally become practical and affordable for businesses of every size.</p>]]>
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      <pubDate>Sun, 11 Oct 2026 08:06:44 -0400</pubDate>
      <author>Daniel Perrone</author>
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        <![CDATA[<p>AI was supposed to transform business. For most small and mid-sized companies, it’s delivered big bills and little to show for it. This podcast cuts through the hype to explore what actually works: connecting your data, putting AI tools in one place, automating real processes, and paying only for what you use. Drawing on lessons from the early internet, we look at how AI will finally become practical and affordable for businesses of every size.</p>]]>
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