<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/stylesheet.xsl" type="text/xsl"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0">
  <channel>
    <atom:link rel="self" type="application/rss+xml" href="https://feeds.transistor.fm/ai-customer-success-brief" title="MP3 Audio"/>
    <atom:link rel="hub" href="https://pubsubhubbub.appspot.com/"/>
    <podcast:podping usesPodping="true"/>
    <title>AI Customer Success Brief</title>
    <generator>Transistor (https://transistor.fm)</generator>
    <itunes:new-feed-url>https://feeds.transistor.fm/ai-customer-success-brief</itunes:new-feed-url>
    <description>What operators are actually building with AI in customer success -- past the prototype and into production.
Each episode covers a real implementation: the problem, what got built, and how it got deployed. No vendor pitches, no roadmap theater. CS leaders, CCOs, and post-sales operators talking about what's running on their teams right now.
Hosted by Jeff Kushmerek, founder of Infinite Renewals. 25 years in CS and professional services. Sponsored by Infinite Renewals.</description>
    <copyright>© 2026 Infinite Renewals</copyright>
    <podcast:guid>ed04661f-8e26-5737-b2a2-6bf584517ea0</podcast:guid>
    <podcast:locked>yes</podcast:locked>
    <language>en</language>
    <pubDate>Wed, 24 Jun 2026 16:03:52 -0400</pubDate>
    <lastBuildDate>Wed, 24 Jun 2026 16:10:15 -0400</lastBuildDate>
    <link>https://infiniterenewals.com/</link>
    <image>
      <url>https://img.transistorcdn.com/ZvO2WwLDnzX_wHpL7sbvgwjHdDGjrqbn6zkD5EE6GAQ/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZGMz/YWZiNzVhMDk3ZTIx/ZDc0NTQzMTNjMDc1/ODkyYS5wbmc.jpg</url>
      <title>AI Customer Success Brief</title>
      <link>https://infiniterenewals.com/</link>
    </image>
    <itunes:category text="Business">
      <itunes:category text="Management"/>
    </itunes:category>
    <itunes:category text="Technology"/>
    <itunes:type>episodic</itunes:type>
    <itunes:author>Jeff Kushmerek</itunes:author>
    <itunes:image href="https://img.transistorcdn.com/ZvO2WwLDnzX_wHpL7sbvgwjHdDGjrqbn6zkD5EE6GAQ/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZGMz/YWZiNzVhMDk3ZTIx/ZDc0NTQzMTNjMDc1/ODkyYS5wbmc.jpg"/>
    <itunes:summary>What operators are actually building with AI in customer success -- past the prototype and into production.
Each episode covers a real implementation: the problem, what got built, and how it got deployed. No vendor pitches, no roadmap theater. CS leaders, CCOs, and post-sales operators talking about what's running on their teams right now.
Hosted by Jeff Kushmerek, founder of Infinite Renewals. 25 years in CS and professional services. Sponsored by Infinite Renewals.</itunes:summary>
    <itunes:subtitle>What operators are actually building with AI in customer success -- past the prototype and into production.</itunes:subtitle>
    <itunes:keywords>customer success, AI, post-sales, CS operations, AI agents, customer success management, HubSpot, Salesforce, RevOps, automation, SaaS, CCO, customer lifecycle, AI implementation, post-sales AI</itunes:keywords>
    <itunes:owner>
      <itunes:name>Jeff Kushmerek</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Why Most AI in Customer Success Stays on a Laptop | AI Customer Success Brief Ep. 1</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Why Most AI in Customer Success Stays on a Laptop | AI Customer Success Brief Ep. 1</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">74c13d9b-4d3b-4eb4-80d5-78abb4b62dc8</guid>
      <link>https://share.transistor.fm/s/8633d160</link>
      <description>
        <![CDATA[<p><strong>Episode 1: AI in Post-Sales — Prototyping to Production</strong></p><p>Most AI in customer success never makes it off someone's laptop. This episode is about why, and what it actually takes to get something running in production.</p><p>Jeff covers the mistake most CS teams make when they start thinking about AI, what the customer lifecycle looks like when you map it to real pain points, and the fork most operators don't know they're at: when MCP is enough vs. when you're building an actual application whether you planned to or not.</p><p>Real example included: a prototype built in Claude that became a containerized app running on Azure behind Tailscale VPN and Entra SSO — because the data lived in two systems that no MCP could bridge.</p><p>No metrics yet for most of this. That's fine. Sometimes the win is just getting parity — your internal systems wired together, working the way your team actually needs them to.</p><p><strong>What's covered:</strong></p><ul><li>Why starting with the tool is the wrong move</li><li>Mapping AI to the customer lifecycle: onboarding, adoption, renewal, expansion</li><li>The MCP path vs. the enterprise app path</li><li>Real deployment architecture: GitHub Actions, Azure, Entra SSO, Tailscale VPN</li><li>Why Intercom's help desk is a problem and what we built around it</li></ul><p><strong>About the show:</strong><br> The AI Customer Success Brief is for operators past the prototype stage. Real implementations, real deployment paths, no vendor pitches. Hosted by Jeff Kushmerek, founder of Infinite Renewals. Sponsored by Infinite Renewals.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 1: AI in Post-Sales — Prototyping to Production</strong></p><p>Most AI in customer success never makes it off someone's laptop. This episode is about why, and what it actually takes to get something running in production.</p><p>Jeff covers the mistake most CS teams make when they start thinking about AI, what the customer lifecycle looks like when you map it to real pain points, and the fork most operators don't know they're at: when MCP is enough vs. when you're building an actual application whether you planned to or not.</p><p>Real example included: a prototype built in Claude that became a containerized app running on Azure behind Tailscale VPN and Entra SSO — because the data lived in two systems that no MCP could bridge.</p><p>No metrics yet for most of this. That's fine. Sometimes the win is just getting parity — your internal systems wired together, working the way your team actually needs them to.</p><p><strong>What's covered:</strong></p><ul><li>Why starting with the tool is the wrong move</li><li>Mapping AI to the customer lifecycle: onboarding, adoption, renewal, expansion</li><li>The MCP path vs. the enterprise app path</li><li>Real deployment architecture: GitHub Actions, Azure, Entra SSO, Tailscale VPN</li><li>Why Intercom's help desk is a problem and what we built around it</li></ul><p><strong>About the show:</strong><br> The AI Customer Success Brief is for operators past the prototype stage. Real implementations, real deployment paths, no vendor pitches. Hosted by Jeff Kushmerek, founder of Infinite Renewals. Sponsored by Infinite Renewals.</p>]]>
      </content:encoded>
      <pubDate>Wed, 24 Jun 2026 15:27:53 -0400</pubDate>
      <author>Jeff Kushmerek</author>
      <enclosure url="https://media.transistor.fm/8633d160/ca1ea623.mp3" length="15293198" type="audio/mpeg"/>
      <itunes:author>Jeff Kushmerek</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/fV1OjFao_XFkkRqXX1hxSetJ6IpuGrt1mKUcriPTMk0/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NWEy/M2E4ZjM1NmU0NjEx/OTY1YmQzYjRkNGNh/ZjM1Mi5wbmc.jpg"/>
      <itunes:duration>955</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 1: AI in Post-Sales — Prototyping to Production</strong></p><p>Most AI in customer success never makes it off someone's laptop. This episode is about why, and what it actually takes to get something running in production.</p><p>Jeff covers the mistake most CS teams make when they start thinking about AI, what the customer lifecycle looks like when you map it to real pain points, and the fork most operators don't know they're at: when MCP is enough vs. when you're building an actual application whether you planned to or not.</p><p>Real example included: a prototype built in Claude that became a containerized app running on Azure behind Tailscale VPN and Entra SSO — because the data lived in two systems that no MCP could bridge.</p><p>No metrics yet for most of this. That's fine. Sometimes the win is just getting parity — your internal systems wired together, working the way your team actually needs them to.</p><p><strong>What's covered:</strong></p><ul><li>Why starting with the tool is the wrong move</li><li>Mapping AI to the customer lifecycle: onboarding, adoption, renewal, expansion</li><li>The MCP path vs. the enterprise app path</li><li>Real deployment architecture: GitHub Actions, Azure, Entra SSO, Tailscale VPN</li><li>Why Intercom's help desk is a problem and what we built around it</li></ul><p><strong>About the show:</strong><br> The AI Customer Success Brief is for operators past the prototype stage. Real implementations, real deployment paths, no vendor pitches. Hosted by Jeff Kushmerek, founder of Infinite Renewals. Sponsored by Infinite Renewals.</p>]]>
      </itunes:summary>
      <itunes:keywords>customer success, AI, post-sales, CS operations, AI agents, customer success management, HubSpot, Salesforce, RevOps, automation, SaaS, CCO, customer lifecycle, AI implementation, post-sales AI</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/8633d160/transcript.vtt" type="text/vtt" rel="captions"/>
      <podcast:transcript url="https://share.transistor.fm/s/8633d160/transcript.json" type="application/json"/>
    </item>
  </channel>
</rss>
