Orchestrating AI

Paul Bibby

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.

시즌1

  1. Welcome to the Orchestrating AI Podcast

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    Welcome to the Orchestrating AI Podcast

    Orchestrating AI: Practical Conversations on AI Adoption in Business 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. 00:00 Show Intro 00:21 What To Expect 00:45 Mission And Signature Question 01:01 Like And Subscribe 01:08 Disclaimer Disclaimer: The opinions and views shared in the Orchestrating AI Podcast are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies. 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.

    2분
  2. Don't skip the AI fundamentals and expect AI to fix your business

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    Don't skip the AI fundamentals and expect AI to fix your business

    Why AI Pilots Fail: Moving from Hype to Scaled, Governed ROI | Nick Munro Host Paul Bibby introduces the Orchestrating AI podcast for senior leaders and is joined by Sydney-based AI executive and strategist Nick Munro, who explains that AI failures are typically organisational - skipped fundamentals, unclear problem definitions, weak data readiness, poor change management, and inadequate governance - rather than technical. They discuss a five-layer capability approach spanning strategy, infrastructure, governance, people/adoption, and measurement/telemetry, emphasising taking a thin slice across all layers to move from experiments to proofs of concept, pilots, and scalable “product-like” AI services with reusable patterns. Munro highlights risks such as uncontrolled generative outputs, shadow IT, and public-model data leakage, and argues governance is a board-level responsibility. Practical ROI examples include high-volume operational document processing, cost-optimised inference, behavioural collections uplift, and near-real-time contact-centre coaching. Munro’s advice: start with business problems, invest in change management, build cross-functional governance early, and prioritise clean data and measurable outcomes. Episode Downloads The Five Layer Model - https://forms.office.com/e/XK8qsFBVQD FREE AI Readiness Assessment - https://forms.office.com/e/3dwbqqdJFj Chapters 00:00 Welcome and Mission 02:29 Why AI Falls Short 04:17 Framework For Scaling AI 04:32 Framework In Practice 06:46 Chatbot Risk Example 09:06 From Pilots To Scale 14:50 Owning The AI Agenda 17:35 Skills Culture Shift 21:07 Risks Noise And Shadow IT 24:30 Public Vs Private Data Risk 25:30 Data Residency Risks 26:02 Preventing Data Leaks 26:13 Safe Internal AI Tools 26:59 High ROI Use Cases 27:33 Scaling Inference Costs 28:57 Scale Over Shiny 30:07 Agentic AI Explained 32:29 Grocery Agent Reality Check 34:50 Why Agents Cost More 39:05 Real Time Call Coaching 42:50 Board Level Governance 47:45 Guest Signature Question - GSQ 50:54 Host Takeaways Wrap Disclaimer: The opinions and views shared in the Orchestrating AI Podcast are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies. 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.

    52분
  3. AI Governance: Leadership Accountability and Minimum Viable Guardrails

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    AI Governance: Leadership Accountability and Minimum Viable Guardrails

    AI Governance and Regulation: Leadership Accountability, Risk Frameworks, and Minimum Viable Guardrails 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. Downloads Minimum Viable AI Governance Checklist - https://forms.office.com/e/4cVw3LvQB8 FREE AI Readiness Assessment - https://forms.office.com/e/3dwbqqdJFj Chapters 00:00 Accountability Starts Here 01:24 Meet Nayis Feyisetan 02:30 Leadership Owns Governance 04:54 Global AI Regulation Tour 08:51 Building Governance Structure 10:45 Policies Guardrails Oversight 13:13 Documentation Audit Trails 14:53 Real World Risk Scenarios 16:58 Bias Data And Feedback 20:23 Minimum Viable Governance 25:32 Signature Question Lessons 28:32 Key Takeaways And Wrap Disclaimer: The opinions and views shared in the Orchestrating AI Podcast are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies. 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.

    30분
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소개

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.

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    Paul Bibby
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