<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:psc="http://podlove.org/simple-chapters" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><title><![CDATA[Rev Cycle AI Insider]]></title><description><![CDATA[<p>Hosted by Ben Reigle, Rev Cycle AI Insider goes behind the buzzwords with the people developing, managing and driving adoption of AI across revenue cycle. Each episode explores what it really takes to move AI from promising ideas to practical, measurable impact.</p>]]></description><link>https://www.tarponhealth.com/</link><generator>Riverside.fm (https://riverside.com)</generator><lastBuildDate>Mon, 26 Oct 2026 08:18:29 GMT</lastBuildDate><atom:link href="https://api.riverside.com/hosting/xWGgO7Bv.rss" rel="self" type="application/rss+xml"/><author><![CDATA[Benjamin Reigle]]></author><pubDate>Mon, 21 Sep 2026 18:10:54 GMT</pubDate><copyright><![CDATA[2026 Benjamin Reigle]]></copyright><language><![CDATA[en]]></language><ttl>60</ttl><category><![CDATA[Business]]></category><category><![CDATA[Tech News]]></category><itunes:author>Benjamin Reigle</itunes:author><itunes:summary>&lt;p&gt;Hosted by Ben Reigle, Rev Cycle AI Insider goes behind the buzzwords with the people developing, managing and driving adoption of AI across revenue cycle. Each episode explores what it really takes to move AI from promising ideas to practical, measurable impact.&lt;/p&gt;</itunes:summary><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>Benjamin Reigle</itunes:name><itunes:email>ben@reigleholdings.com</itunes:email></itunes:owner><itunes:explicit>no</itunes:explicit><itunes:category text="Business"/><itunes:category text="News"><itunes:category text="Tech News"/></itunes:category><itunes:image href="https://hosting-media.riverside.com/media/podcasts/edfe8fc7-6702-49fb-8fb6-e21c2eb8d03c/logos/75fde5c9-8731-4143-b363-fe100e3d6b9d.png"/><item><title><![CDATA[#2 Building a Culture of Automation]]></title><description><![CDATA[<p>The fastest way to stall automation momentum is to treat it like a side project. Kevin Barnes from Mayo Clinic shares how his team is building an automation culture by earning trust, proving value, and bringing people into the process. Recorded live in Vegas, this conversation gets into the practical realities of scaling AI and automation inside a large finance organization. Kevin explains how Mayo went from its first automation in 2023 to 109 automations in production, why a prior authorization project got caught in a “perfection vortex,” and what the team learned about scope, governance, and delivery.</p><p>www.TarponHealth.com</p>]]></description><guid isPermaLink="false">fff2a6d8-df85-4bdd-9a15-f16af990d455</guid><dc:creator><![CDATA[Benjamin Reigle]]></dc:creator><pubDate>Thu, 15 Oct 2026 16:00:00 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/1ac7fc64863dbccd911c1fe400eb05f7e4d9c208f429ac990125433ae57c1478/eyJlcGlzb2RlSWQiOiJmZmYyYTZkOC1kZjg1LTRiZGQtOWExNS1mMTZhZjk5MGQ0NTUiLCJwb2RjYXN0SWQiOiJlZGZlOGZjNy02NzAyLTQ5ZmItOGZiNi1lMjFjMmViOGQwM2MiLCJhY2NvdW50SWQiOiI2MDdjM2Y0ZGU4YjZhMjQ3ZDYzZDdhYjciLCJwYXRoIjoibWVkaWEvY2xpcHMvNmFkMGMzNjM3ZTIxOWYwNDYyMmVkMmE4L3Jldi1jeWNsZS1haS1pbnNpZGVyLTIwMjYtMTAtMTVfXzEyLTEzLTI0Lm1wMyJ9.mp3" length="46412007" type="audio/mpeg"/><podcast:transcript url="https://hosting-media.riverside.com/media/podcasts/edfe8fc7-6702-49fb-8fb6-e21c2eb8d03c/episodes/fff2a6d8-df85-4bdd-9a15-f16af990d455/transcripts.txt" type="text/plain"/><itunes:summary>&lt;p&gt;The fastest way to stall automation momentum is to treat it like a side project. Kevin Barnes from Mayo Clinic shares how his team is building an automation culture by earning trust, proving value, and bringing people into the process. Recorded live in Vegas, this conversation gets into the practical realities of scaling AI and automation inside a large finance organization. Kevin explains how Mayo went from its first automation in 2023 to 109 automations in production, why a prior authorization project got caught in a “perfection vortex,” and what the team learned about scope, governance, and delivery.&lt;/p&gt;&lt;p&gt;www.TarponHealth.com&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:24:10</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/edfe8fc7-6702-49fb-8fb6-e21c2eb8d03c/logos/75fde5c9-8731-4143-b363-fe100e3d6b9d.png"/><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:title>#2 Building a Culture of Automation</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[#1 The Complexity of Agents Explained]]></title><description><![CDATA[<p>On the first episode ever of "Rev Cycle AI Insider" Benjamin Reigle and Josh Letourneau break down what it really takes to make AI agents work in healthcare revenue cycle. From data foundations and denial logic to compliance and last-mile execution, they separate AI hype from the operational realities of putting automation into practice.</p><p>www.TarponHealth.com</p>]]></description><guid isPermaLink="false">9eb3e6a4-6fe6-44df-8414-321889f2f033</guid><dc:creator><![CDATA[Benjamin Reigle]]></dc:creator><pubDate>Thu, 01 Oct 2026 02:22:18 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/42a93c948d751ac006c5c79b3c6f2603685762ecfb375c888c02a422fe28249e/eyJlcGlzb2RlSWQiOiI5ZWIzZTZhNC02ZmU2LTQ0ZGYtODQxNC0zMjE4ODlmMmYwMzMiLCJwb2RjYXN0SWQiOiJlZGZlOGZjNy02NzAyLTQ5ZmItOGZiNi1lMjFjMmViOGQwM2MiLCJhY2NvdW50SWQiOiI2MDdjM2Y0ZGU4YjZhMjQ3ZDYzZDdhYjciLCJwYXRoIjoibWVkaWEvY2xpcHMvNmFiZWI2MGUzNzJiMGVjZmE2ZjNkMWRiL3Jldi1jeWNsZS1haS1pbnNpZGVyLTIwMjYtMTAtMV9fMTktMzUtNDMubXAzIn0=.mp3" length="40914172" type="audio/mpeg"/><podcast:transcript url="https://hosting-media.riverside.com/media/podcasts/edfe8fc7-6702-49fb-8fb6-e21c2eb8d03c/episodes/9eb3e6a4-6fe6-44df-8414-321889f2f033/transcripts.txt" type="text/plain"/><itunes:summary>&lt;p&gt;On the first episode ever of &quot;Rev Cycle AI Insider&quot; Benjamin Reigle and Josh Letourneau break down what it really takes to make AI agents work in healthcare revenue cycle. From data foundations and denial logic to compliance and last-mile execution, they separate AI hype from the operational realities of putting automation into practice.&lt;/p&gt;&lt;p&gt;www.TarponHealth.com&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:21:19</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/edfe8fc7-6702-49fb-8fb6-e21c2eb8d03c/logos/75fde5c9-8731-4143-b363-fe100e3d6b9d.png"/><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:title>#1 The Complexity of Agents Explained</itunes:title><itunes:episodeType>full</itunes:episodeType></item></channel></rss>