The Digital Transformation Playbook

Kieran Gilmurray
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Kieran Gilmurray is a globally recognised authority on Artificial Intelligence, intelligent automation, data analytics, agentic AI, leadership development and digital transformation. He has authored four influential books and hundreds of articles that have shaped industry perspectives on digital transformation, data analytics, intelligent automation, agentic AI, leadership and artificial intelligence. 𝗪𝗵𝗮𝘁 does Kieran do❓When Kieran is not chairing international conferences, serving as a fractional CTO or Chief AI Officer, he is  delivering AI, leadership, and strategy masterclasses to governments and industry leaders.  His team global businesses drive AI, agentic ai, digital transformation, leadership and innovation programs that deliver tangible business results.🏆 𝐀𝐰𝐚𝐫𝐝𝐬: 🔹Top 25 Thought Leader Generative AI 2025  🔹Top 25 Thought Leader Companies on Generative AI 2025  🔹Top 50 Global Thought Leaders and Influencers on Agentic AI 2025🔹Top 100 Thought Leader Agentic AI 2025 🔹Top 100 Thought Leader Legal AI 2025🔹Team of the Year at the UK IT Industry Awards🔹Top 50 Global Thought Leaders and Influencers on Generative AI 2024 🔹Top 50 Global Thought Leaders and Influencers on Manufacturing 2024🔹Best LinkedIn Influencers Artificial Intelligence and Marketing 2024🔹Seven-time LinkedIn Top Voice.🔹Top 14 people to follow in data in 2023.🔹World's Top 200 Business and Technology Innovators. 🔹Top 50 Intelligent Automation Influencers. 🔹Top 50 Brand Ambassadors. 🔹Global Intelligent Automation Award Winner.🔹Top 20 Data Pros you NEED to follow. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 Kieran's team to get business results, not excuses.☎️ https://calendly.com/kierangilmurray/30min ✉️ kieran@gilmurray.co.uk  🌍 www.KieranGilmurray.com📘 Kieran Gilmurray | LinkedIn

  1. Who Owns AI?

    12h ago

    Who Owns AI?

    AI ownership often looks clear in meetings, then breaks down when decisions move into real workflows. This episode examines why fragmented authority turns promising pilots into slow, duplicated, and politically complex AI programmes across the enterprise. It explores how decision rights shape AI scale. TLDR / At a Glance • Fragmented AI accountability  • Decision rights over job titles  • Centralised, federated, and hybrid models  • Governance without slow consensus  • Executive sponsorship and escalation routes  • Ownership maps for enterprise scale The key lesson is that AI scales when authority, accountability, and value ownership are explicit. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    13 min
  2. Is HR Obsolete?

    13h ago

    Is HR Obsolete?

    “HR is irrelevant and AI will replace it” is the sort of claim that gets repeated until it feels true. We slow it down and ask a better question: if the admin and compliance bits are automated, what should a modern people function actually do that makes organisations stronger? TL;DR / At A Glance retiring transactional HR work that technology can automatewhy rebranding HR does not fix purpose, trust, or credibilityemployee trust gaps and the case for advocacy or ombuds rolesshifting people management back to leaders with HR as architectthe leadership capability gap in coaching, feedback and difficult conversationsAI in performance feedback and why AI plus human coaching mattersredesigning jobs for humans and AI, not just adding toolsmoving HR metrics from compliance to organisational capabilityWe pull apart the case for retiring the term HR and the case for keeping it, from the Ulrich model to today’s rebrands like People Ops and employee experience. Then we get into the real issue behind the labels: trust.  Many employees assume HR represents the organisation first, which creates a credibility gap. We explore whether advocacy and ethics roles should sit outside HR, and what that means for fairness, transparency, and day-to-day employee experience. From there, we go straight at the uncomfortable fix: leaders must own people management. That only works if we stop promoting accidental managers and start building leadership capability in feedback, coaching, and difficult conversations.  Finally, we debate AI and performance feedback. AI can be candid and consistent, but it cannot replace human judgement and empathy, so we argue for “AI plus a human coach” and, crucially, redesigning jobs for humans and AI rather than layering more tech onto broken work. If you want a practical, future-of-work conversation about people strategy, agentic AI, organisational design and leadership development, press play. Subscribe, share with a colleague, leave a review, and tell us in the comments: should we retire HR, or reinvent it? Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    31 min
  3. Hiring In The Age Of AI

    1d ago

    Hiring In The Age Of AI

    AI is speeding up work, squeezing budgets, and quietly removing the “starter tasks” that used to train new hires. So the real question is not just whether we should hire graduates, but how anyone builds experience when AI can draft, summarise, and analyse faster than a junior role ever could. We take a hard look at what this means for early careers, recruitment, and long-term workforce planning, especially for organisations chasing quarterly results while trying to stay future-ready. TL;DR / At A Glance broadening from graduate hiring to workforce diversity and capabilitywhy digital fluency is not determined by ageAI, agency, and the potential mental health impactthe gap between what we say, what is heard, and what we meanadapting to different communication styles beyond picking a channelusing AI as a coaching tool for clearer stakeholder communicationthe real skills gap: onboarding, financial fluency, data and AI literacy, curiosity, resiliency, communicationpsychological safety as the condition for challenge and growthcapability swaps and pairing by strengths rather than ageKieran Gilmurray and Laura Lawless also push back on the lazy comfort of generational stereotypes. “Gen Z are digital natives” sounds neat until you see who is genuinely excited to learn, who is anxious about losing agency to algorithms, and who has the curiosity to keep improving. We talk about mental health risks, why learning agility beats age, and why a multi-generational workplace works best when leaders focus on capability, not labels. From there Kieran Gilmurray and Laura Lawless  get practical: how communication breaks down between what we say, what people hear, and what we meant, plus how to adapt to different styles without dumbing anything down. We explore psychological safety as the foundation for healthy challenge, then move into concrete team design ideas like capability swaps and cognitive diversity roles (challenger, translator, integrator). Finally, we unpack why microlearning often fails and how to build continuous learning into the flow of work so skills actually stick. If you care about AI in the workplace, hiring strategy, learning and development, and building high-performing teams, this conversation is your reset.  Subscribe, share it with a colleague, and leave a review with one change you are making this month to help your team learn faster and speak up more. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    44 min
  4. Why Faster AI Answers Can Make You Learn Less

    2d ago

    Why Faster AI Answers Can Make You Learn Less

    Frictionless AI feels like a miracle: one prompt, instant answers, spotless work. But when we use large language models for learning, that same “no effort” design can become a trap.  Google Notebook LM agents break down the learning performance paradox, where AI can make you look brilliant in the moment while quietly preventing the mental work that builds memory, judgement, and real competence. If you have ever “understood” something with AI help and then blanked the next day, you will recognise what we mean.  TL;DR / At a Glance the learning performance paradox and why speed can mask absent learningcognitive offloading and metacognitive laziness in AI-assisted studyproductive struggle, desirable difficulty, retrieval practice and the generation effectscaffolding done right through hints, worked examples and calibrated challengeConMigo and CodeHelp as contrasting designs for preventing shortcut learningadaptive AI that captures microinteractions to model misconceptions and emotionsshared regulation to protect learner autonomy and avoid black box tutoringresponsible foundations: explainable AI, privacy-by-context and inclusive personasGoogle Notebook LM agents explore what a true AI learning companion should do differently, grounded in learning science: productive struggle, desirable difficulty, retrieval practice, and the generation effect. Instead of handing over solutions, the companion should ask you to explain, apply, and generate answers in your own words. It should also help with metacognitive calibration, so your confidence starts matching your actual understanding, not just the smoothness of the chatbot’s output.  From there Google Notebook LM agents get practical, using real case studies. We look at ConMigo’s shift from strict Socratic tutoring to smarter scaffolding with hints and worked examples, and CodeHelp’s “sufficiency check” that trains students to troubleshoot by providing proper context.  Google Notebook LM agents also unpack adaptive learning systems that remember your patterns over time, why shared regulation protects autonomy, and what responsible AI in education requires: explainable recommendations, privacy that fits the learner, and inclusive design that reflects diverse classrooms and lived experience.  If you care about AI in education, learning how to learn, or building skills that last, listen now. Subscribe, share with a friend who relies on AI to study, and leave a review with the biggest change you are making to your prompts. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    20 min
  5. The Human AI Operating System

    Jun 22

    The Human AI Operating System

    AI scale depends on more than access to models, pilots, or new tools. This episode examines why enterprise performance comes from designing the organisation around AI, rather than simply deploying technology into existing workflows. It explores the Human AI Operating System as a framework for repeatable AI value. TLDR / At a Glance • Five-layer AI operating model  • Workflow redesign for adoption  • Decision rights and accountability  • Capability beyond basic training  • Embedded governance and controls  • Value tracking linked to outcomes The central takeaway is that AI scales when work, decisions, capability, governance, and value operate as one aligned management system. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    22 min
  6. PegaWorld 2026: The Year Agentic AI Had To Prove Itself

    Jun 20

    PegaWorld 2026: The Year Agentic AI Had To Prove Itself

    Enterprise AI has entered a more demanding phase, where agentic systems must prove they can deliver predictable outcomes in real business operations. PegaWorld 2026 framed that shift around workflow discipline, cost control, governance, and enterprise readiness. This episode explores six lessons for leaders scaling AI beyond pilots. TLDR / At a Glance • Predictable AI and governed execution • Outcome based AI cost control • Closing the strategy to execution gap • Orchestrating agents through approved workflows • Legacy modernisation as AI readiness • Enterprise discipline in AI assisted development AI agents have had years to impress us. PegaWorld 2026 forces a tougher standard: prove you can run inside complex enterprises without cost surprises, compliance gaps, inconsistent decisions or another layer of fragmented tech. That shift matters if you own regulated operations, customer outcomes, technology risk, or a budget that has to hold up when usage scales from a pilot to millions of interactions.   We dig into six takeaways that keep agentic AI trustworthy. The big one is predictable AI: do the heavier reasoning upfront when redesigning workflows and operating models, then keep live execution tight by using lighter AI to understand intent, select an approved workflow, and follow it consistently. We also unpack why ambiguity is the real project risk, and how tools like Pega Blueprint aim to turn business intent into build-ready workflow designs that can be governed, reused and audited.   Cost becomes a board-level conversation when token-based pricing meets long context windows and multi-step processes. We argue for measuring AI economics by outcomes such as cost per completed case, not prompts, tokens or model calls, and explain how deterministic workflows can narrow agent scope to reduce spend and risk. From orchestration and Model Context Protocol through to legacy COBOL modernisation with AWS Transform, we connect the dots between workflow automation, AI governance, and true AI readiness.  If you care about enterprise AI that lasts, subscribe, share this with a colleague, and leave a review with the one workflow you would redesign first. #PegaPartner Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    22 min
  7. The AI Risk Posture Playbook for Boards

    Jun 20

    The AI Risk Posture Playbook for Boards

    Artificial intelligence is now a board level risk with implications across strategy, operations, and reputation. Organisations must move from informal awareness to structured oversight to manage AI responsibly. This episode explores how boards define and operationalise an explicit AI risk posture. TLDR / At a Glance • AI as enterprise level risk category  • Risk appetite, tolerance, capacity distinctions  • Board versus management responsibilities  • Red line AI use cases  • Escalation thresholds and governance flows  • 30, 60, 90 day implementation roadmap A clear AI risk posture enables controlled innovation while maintaining accountability, resilience, and regulatory readiness. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    12 min
  8. Why AI Strategies Fail Before They Scale

    Jun 18

    Why AI Strategies Fail Before They Scale

    AI strategies often lose momentum when organisations move from pilots into real operating environments. Early progress can look convincing until ownership, governance, capability, workflow design, and value measurement are tested at scale. This episode explores why AI scale depends on organisational absorption. TLDR / At a Glance • Pilot to scale gap  • Organisational absorption  • Workflow redesign  • Decision ownership  • Governance and monitoring  • Value measurement The key takeaway is that AI scales when leaders redesign the operating model around trusted, repeatable execution. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    22 min
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About

Kieran Gilmurray is a globally recognised authority on Artificial Intelligence, intelligent automation, data analytics, agentic AI, leadership development and digital transformation. He has authored four influential books and hundreds of articles that have shaped industry perspectives on digital transformation, data analytics, intelligent automation, agentic AI, leadership and artificial intelligence. 𝗪𝗵𝗮𝘁 does Kieran do❓When Kieran is not chairing international conferences, serving as a fractional CTO or Chief AI Officer, he is  delivering AI, leadership, and strategy masterclasses to governments and industry leaders.  His team global businesses drive AI, agentic ai, digital transformation, leadership and innovation programs that deliver tangible business results.🏆 𝐀𝐰𝐚𝐫𝐝𝐬: 🔹Top 25 Thought Leader Generative AI 2025  🔹Top 25 Thought Leader Companies on Generative AI 2025  🔹Top 50 Global Thought Leaders and Influencers on Agentic AI 2025🔹Top 100 Thought Leader Agentic AI 2025 🔹Top 100 Thought Leader Legal AI 2025🔹Team of the Year at the UK IT Industry Awards🔹Top 50 Global Thought Leaders and Influencers on Generative AI 2024 🔹Top 50 Global Thought Leaders and Influencers on Manufacturing 2024🔹Best LinkedIn Influencers Artificial Intelligence and Marketing 2024🔹Seven-time LinkedIn Top Voice.🔹Top 14 people to follow in data in 2023.🔹World's Top 200 Business and Technology Innovators. 🔹Top 50 Intelligent Automation Influencers. 🔹Top 50 Brand Ambassadors. 🔹Global Intelligent Automation Award Winner.🔹Top 20 Data Pros you NEED to follow. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 Kieran's team to get business results, not excuses.☎️ https://calendly.com/kierangilmurray/30min ✉️ kieran@gilmurray.co.uk  🌍 www.KieranGilmurray.com📘 Kieran Gilmurray | LinkedIn

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