Orchestrating AI

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 DownloadsThe Five Layer Model - https://forms.office.com/e/XK8qsFBVQDFREE AI Readiness Assessment - https://forms.office.com/e/3dwbqqdJFjChapters00:00 Welcome and Mission02:29 Why AI Falls Short04:17 Framework For Scaling AI04:32 Framework In Practice06:46 Chatbot Risk Example09:06 From Pilots To Scale14:50 Owning The AI Agenda17:35 Skills Culture Shift21:07 Risks Noise And Shadow IT24:30 Public Vs Private Data Risk25:30 Data Residency Risks26:02 Preventing Data Leaks26:13 Safe Internal AI Tools26:59 High ROI Use Cases27:33 Scaling Inference Costs28:57 Scale Over Shiny30:07 Agentic AI Explained32:29 Grocery Agent Reality Check34:50 Why Agents Cost More39:05 Real Time Call Coaching42:50 Board Level Governance47:45 Guest Signature Question - GSQ50:54 Host Takeaways WrapDisclaimer: 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.

AI Governance and Regulation: Leadership Accountability, Risk Frameworks, and Minimum Viable GuardrailsHost 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/3dwbqqdJFjChapters00:00 Accountability Starts Here01:24 Meet Nayis Feyisetan02:30 Leadership Owns Governance04:54 Global AI Regulation Tour08:51 Building Governance Structure10:45 Policies Guardrails Oversight13:13 Documentation Audit Trails14:53 Real World Risk Scenarios16:58 Bias Data And Feedback20:23 Minimum Viable Governance25:32 Signature Question Lessons28:32 Key Takeaways And WrapDisclaimer: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.

Orchestrating AI: Moving Beyond Assistants to Profit, Scale, and Responsible AIPaul Bibby introduces Orchestrating AI, a podcast for business leaders to grow profits by orchestrating AI and agentic automation beyond basic assistants, while managing risk, regulation, and change without relying on expensive consultancies. Guest Nick Munro, an AI strategist and former banking executive, explains why AI often fails to deliver due to weak fundamentals: unclear problem definition, poor data readiness, neglected change management, and missing governance and monitoring. He supports a five-layer approach spanning strategy, infrastructure, governance, people, and telemetry, emphasising internal-first use cases and designing for scale by treating AI as a product with reusable architecture and cost control. They discuss key leadership questions: moving from experiments to pilots to scalable services, shared ownership via cross-functional accountability, required skills and AI literacy, risks like shadow IT and data leakage from public tools, high-ROI operational use cases, and why AI governance is a board-level responsibility.Link to: The Five Layer Model00:00 Podcast Mission03:27 Meet Nick Munro04:29 Why AI Falls Short06:22 Five Layer Framework08:50 Chatbot Risk Example11:02 From Pilots to Scale16:35 Owning the AI Agenda19:14 Skills and Culture Shift22:43 Risks and Shadow IT25:58 Public vs Private Data27:09 Data Upload IP Risks27:42 Preventative AI Controls28:17 High ROI Use Cases31:18 Agentic AI Explained35:52 Why Agents Cost More39:53 Contact Centre Coaching43:31 Board Level Governance47:57 Starting AI Right50:47 Final Thanks and WrapDisclaimer: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.

Orchestrating AI: Practical Conversations on AI Adoption in BusinessPaul 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 Intro00:21 What To Expect00:45 Mission And Signature Question01:01 Like And Subscribe01:08 DisclaimerDisclaimer: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.