<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="https://feeds.captivate.fm/style.xsl" type="text/xsl"?><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:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><atom:link href="https://feeds.captivate.fm/orchestrating-ai/" rel="self" type="application/rss+xml"/><title><![CDATA[Orchestrating AI]]></title><podcast:guid>e6b21f81-0522-5f13-86c1-c0532315b795</podcast:guid><lastBuildDate>Fri, 12 Jun 2026 12:30:17 +0000</lastBuildDate><generator>Captivate.fm</generator><language><![CDATA[en]]></language><copyright><![CDATA[Orchestrato Ltd 2026]]></copyright><managingEditor>Paul Bibby</managingEditor><itunes:summary><![CDATA[Orchestrating AI is a thought‑leadership podcast created by Orchestrato, designed to bring clarity, credibility, and real‑world insight to one of the most transformative eras in business: the age of Artificial Intelligence.  Each episode features candid, practical conversations with leaders who have been there and done it - pioneers across AI strategy, data, engineering, automation, ethics, governance, regulation, and enterprise transformation. Our guests share the lessons they’ve learned building, deploying, and scaling AI inside real organisations across the UK, USA, and beyond.  We explore the full lifecycle of AI adoption, including:  > Fundamentals: AI, ML, GenAI, LLMs/SLMs, RAG, and agentic workflows > Real Use Cases: customer service, HR, legal, product development, finance, marketing, sales enablement, supply chain > Organisational Readiness: data quality, literacy, skills, change management, vendors, pilot‑to‑scale > IT Architecture: cloud/on‑prem, integration, ML Ops, FinOps, APIs, infrastructure > Regulation & Governance: UK/EU/US frameworks, liability, compliance, assurance, ethics & fairness > Risk & Security: model accuracy, bias, hallucinations, cyber, auditability > Future Trends: multimodal, voice AI, emerging capabilities > Measurement: ROI, KPIs, continuous improvement  Our mission is simple: make AI understandable, actionable, and achievable for business leaders.  And every episode ends with a signature question our audience comes to learn from: “If you had a blank sheet of paper and were starting your AI journey again — what would you do differently?”  Whether you’re a CEO, CIO, COO, Head of Data/AI… or simply a leader trying to navigate the noise, Orchestrating AI gives you clarity over hype and practical guidance to move from theory to execution.  Follow us for episodes, insights, and conversations that help every organisation accelerate their AI journey — the smart way.]]></itunes:summary><image><url>https://artwork.captivate.fm/2c70955c-d4e6-455b-88a7-02a8f22fad35/Captivate-Podcast-Logo-PB.png</url><title>Orchestrating AI</title><link><![CDATA[https://orchestrating-ai.captivate.fm]]></link></image><itunes:image href="https://artwork.captivate.fm/2c70955c-d4e6-455b-88a7-02a8f22fad35/Captivate-Podcast-Logo-PB.png"/><itunes:owner><itunes:name>Paul Bibby</itunes:name></itunes:owner><itunes:author>Paul Bibby</itunes:author><description>Orchestrating AI is a thought‑leadership podcast created by Orchestrato, designed to bring clarity, credibility, and real‑world insight to one of the most transformative eras in business: the age of Artificial Intelligence.  Each episode features candid, practical conversations with leaders who have been there and done it - pioneers across AI strategy, data, engineering, automation, ethics, governance, regulation, and enterprise transformation. Our guests share the lessons they’ve learned building, deploying, and scaling AI inside real organisations across the UK, USA, and beyond.  We explore the full lifecycle of AI adoption, including:  &gt; Fundamentals: AI, ML, GenAI, LLMs/SLMs, RAG, and agentic workflows &gt; Real Use Cases: customer service, HR, legal, product development, finance, marketing, sales enablement, supply chain &gt; Organisational Readiness: data quality, literacy, skills, change management, vendors, pilot‑to‑scale &gt; IT Architecture: cloud/on‑prem, integration, ML Ops, FinOps, APIs, infrastructure &gt; Regulation &amp; Governance: UK/EU/US frameworks, liability, compliance, assurance, ethics &amp; fairness &gt; Risk &amp; Security: model accuracy, bias, hallucinations, cyber, auditability &gt; Future Trends: multimodal, voice AI, emerging capabilities &gt; Measurement: ROI, KPIs, continuous improvement  Our mission is simple: make AI understandable, actionable, and achievable for business leaders.  And every episode ends with a signature question our audience comes to learn from: “If you had a blank sheet of paper and were starting your AI journey again — what would you do differently?”  Whether you’re a CEO, CIO, COO, Head of Data/AI… or simply a leader trying to navigate the noise, Orchestrating AI gives you clarity over hype and practical guidance to move from theory to execution.  Follow us for episodes, insights, and conversations that help every organisation accelerate their AI journey — the smart way.</description><link>https://orchestrating-ai.captivate.fm</link><atom:link href="https://pubsubhubbub.appspot.com" rel="hub"/><itunes:subtitle><![CDATA[Thought‑leadership podcast designed to bring clarity, credibility, and real‑world insights into Artificial Intelligence.]]></itunes:subtitle><itunes:explicit>false</itunes:explicit><itunes:type>serial</itunes:type><itunes:category text="Business"></itunes:category><itunes:category text="Technology"></itunes:category><itunes:category text="Business"><itunes:category text="Careers"/></itunes:category><podcast:locked>no</podcast:locked><podcast:medium>podcast</podcast:medium><item><title>AI Governance: Leadership Accountability and Minimum Viable Guardrails</title><itunes:title>AI Governance: Leadership Accountability and Minimum Viable Guardrails</itunes:title><description><![CDATA[<p>AI Governance and Regulation: Leadership Accountability, Risk Frameworks, and Minimum Viable Guardrails </p><p>Host Paul Bibby discusses AI governance and regulation with Siyanbola Feyisetan (Nayis), an applied AI and digital transformation leader focused on building explainable, auditable, dependable systems. They argue governance is a leadership responsibility because accountability for AI decisions cannot be outsourced, though IT, legal, risk, and compliance implement and monitor controls. Feyisetan outlines global regulation (including the EU AI Act, sovereign AI approaches, and fragmented US state rules) and highlights the EU AI Act’s risk-based categories. For organisations operating across jurisdictions, she stresses complying with each region’s laws. They describe practical governance elements: integrated policies on data, model use, risk classification, testing/monitoring, human oversight for high-impact decisions (hiring, credit, healthcare), documentation, approvals, audit trails, and minimum viable governance via clear usage rules, lightweight risk checklists, approval paths, staff training, and cross-functional reviews. </p><p>00:00 Accountability Starts Here </p><p>01:24 Meet Nayis Feyisetan </p><p>02:30 Leadership Owns Governance </p><p>04:54 Global AI Regulation Tour </p><p>08:51 Building Governance Structure </p><p>10:45 Policies Guardrails Oversight </p><p>13:13 Documentation Audit Trails </p><p>14:53 Real World Risk Scenarios </p><p>16:58 Bias Data And Feedback </p><p>20:23 Minimum Viable Governance </p><p>25:32 Signature Question Lessons </p><p>28:32 Key Takeaways And Wrap</p><p><strong>Disclaimer:</strong></p><p>The opinions and views shared in the <em>Orchestrating AI Podcast</em> are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies.</p><p>The discussions in this podcast are for general information only and are not intended as professional, technical, financial, or legal advice. Listeners should always seek appropriate advice before making decisions based on the topics discussed.</p>]]></description><content:encoded><![CDATA[<p>AI Governance and Regulation: Leadership Accountability, Risk Frameworks, and Minimum Viable Guardrails </p><p>Host Paul Bibby discusses AI governance and regulation with Siyanbola Feyisetan (Nayis), an applied AI and digital transformation leader focused on building explainable, auditable, dependable systems. They argue governance is a leadership responsibility because accountability for AI decisions cannot be outsourced, though IT, legal, risk, and compliance implement and monitor controls. Feyisetan outlines global regulation (including the EU AI Act, sovereign AI approaches, and fragmented US state rules) and highlights the EU AI Act’s risk-based categories. For organisations operating across jurisdictions, she stresses complying with each region’s laws. They describe practical governance elements: integrated policies on data, model use, risk classification, testing/monitoring, human oversight for high-impact decisions (hiring, credit, healthcare), documentation, approvals, audit trails, and minimum viable governance via clear usage rules, lightweight risk checklists, approval paths, staff training, and cross-functional reviews. </p><p>00:00 Accountability Starts Here </p><p>01:24 Meet Nayis Feyisetan </p><p>02:30 Leadership Owns Governance </p><p>04:54 Global AI Regulation Tour </p><p>08:51 Building Governance Structure </p><p>10:45 Policies Guardrails Oversight </p><p>13:13 Documentation Audit Trails </p><p>14:53 Real World Risk Scenarios </p><p>16:58 Bias Data And Feedback </p><p>20:23 Minimum Viable Governance </p><p>25:32 Signature Question Lessons </p><p>28:32 Key Takeaways And Wrap</p><p><strong>Disclaimer:</strong></p><p>The opinions and views shared in the <em>Orchestrating AI Podcast</em> are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies.</p><p>The discussions in this podcast are for general information only and are not intended as professional, technical, financial, or legal advice. Listeners should always seek appropriate advice before making decisions based on the topics discussed.</p>]]></content:encoded><link><![CDATA[https://orchestrating-ai.captivate.fm]]></link><guid isPermaLink="false">82f5cc1a-8445-4c2c-9f9f-b23f82bfb79b</guid><itunes:image href="https://artwork.captivate.fm/2c70955c-d4e6-455b-88a7-02a8f22fad35/Captivate-Podcast-Logo-PB.png"/><pubDate>Fri, 12 Jun 2026 13:30:00 +0100</pubDate><enclosure url="https://episodes.captivate.fm/episode/82f5cc1a-8445-4c2c-9f9f-b23f82bfb79b.mp3" length="28879489" type="audio/mpeg"/><itunes:duration>30:05</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:season>1</itunes:season><itunes:episode>3</itunes:episode><podcast:episode>3</podcast:episode><podcast:season>1</podcast:season><podcast:chapters url="https://transcripts.captivate.fm/chapter-7856e08b-0896-452d-86f8-22a06219a857.json" type="application/json+chapters"/><podcast:alternateEnclosure type="video/youtube" title="AI Governance: Leadership Accountability and Minimum Viable Guardrails"><podcast:source uri="https://youtu.be/itivMA2BEbU"/></podcast:alternateEnclosure></item><item><title>Welcome to the Orchestrating AI Podcast</title><itunes:title>Welcome to the Orchestrating AI Podcast</itunes:title><description><![CDATA[<p>Orchestrating AI: Practical Conversations on AI Adoption in Business</p><p>Paul Bibby from Orchestrato introduces Orchestrating AI, a thought-leadership podcast focused on bringing clarity, credibility, and real-world insights into Artificial Intelligence in business. The show features open, practical conversations with guests spanning AI strategy, data, engineering, and automation, sharing lessons on building, deploying, and scaling AI across organisations in the UK, USA, and beyond. Episodes explore the full lifecycle of AI adoption with the aim of making AI understandable, actionable, and achievable for business leaders, and each ends with the signature question about what guests would do differently if starting their AI journey today. The script also includes a disclaimer that views are individual and not professional or legal advice.</p><p>00:00 Show Intro</p><p>00:21 What To Expect</p><p>00:45 Mission And Signature Question</p><p>01:01 Like And Subscribe</p><p>01:08 Disclaimer</p><p><strong>Disclaimer:</strong></p><p>The opinions and views shared in the <em>Orchestrating AI Podcast</em> are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies.</p><p>The discussions in this podcast are for general information only and are not intended as professional, technical, financial, or legal advice. Listeners should always seek appropriate advice before making decisions based on the topics discussed.</p>]]></description><content:encoded><![CDATA[<p>Orchestrating AI: Practical Conversations on AI Adoption in Business</p><p>Paul Bibby from Orchestrato introduces Orchestrating AI, a thought-leadership podcast focused on bringing clarity, credibility, and real-world insights into Artificial Intelligence in business. The show features open, practical conversations with guests spanning AI strategy, data, engineering, and automation, sharing lessons on building, deploying, and scaling AI across organisations in the UK, USA, and beyond. Episodes explore the full lifecycle of AI adoption with the aim of making AI understandable, actionable, and achievable for business leaders, and each ends with the signature question about what guests would do differently if starting their AI journey today. The script also includes a disclaimer that views are individual and not professional or legal advice.</p><p>00:00 Show Intro</p><p>00:21 What To Expect</p><p>00:45 Mission And Signature Question</p><p>01:01 Like And Subscribe</p><p>01:08 Disclaimer</p><p><strong>Disclaimer:</strong></p><p>The opinions and views shared in the <em>Orchestrating AI Podcast</em> are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies.</p><p>The discussions in this podcast are for general information only and are not intended as professional, technical, financial, or legal advice. Listeners should always seek appropriate advice before making decisions based on the topics discussed.</p>]]></content:encoded><link><![CDATA[https://orchestrating-ai.captivate.fm]]></link><guid isPermaLink="false">0802670d-bc18-41eb-b2d2-4f50f6b40a15</guid><itunes:image href="https://artwork.captivate.fm/44ac1521-dc0c-44c1-8e76-1be457a39337/Series-1-Episode-1.png"/><pubDate>Thu, 26 Feb 2026 16:15:00 +0100</pubDate><enclosure url="https://episodes.captivate.fm/episode/0802670d-bc18-41eb-b2d2-4f50f6b40a15.mp3" length="2090466" type="audio/mpeg"/><itunes:duration>01:45</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><podcast:episode>1</podcast:episode><podcast:season>1</podcast:season></item></channel></rss>