The Digital Transformation Playbook

Kieran Gilmurray

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. Run AI Governance as a Powerful Management Rhythm

    7h ago

    Run AI Governance as a Powerful Management Rhythm

    AI governance often looks complete on paper while remaining weak in daily operations. This episode examines why policies, committees, and principles only become effective when they are connected to live management routines. It explores governance as an operating rhythm for scaling AI with control and confidence. TLDR / At a Glance • Policy-to-practice governance gaps  • Cadence, monitoring, and escalation  • Ownership across workflows and vendors  • Dashboards linking risk and value  • Proportional controls by risk level  • Governance as performance infrastructure The central takeaway is that AI governance works when leaders run it continuously through the same systems that manage the business. 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

    14 min

  2. 1d ago

    Fast, Safe AI In 2026

    Speed without control is borrowed time and 2026 just started the countdown. We unpack a practical playbook for AI governance that helps teams move faster while meeting the rising bar on safety, accountability, and compliance across the UK, EU, and US. TLDR / At A Glance the speed–safety paradox and why clarity winsregulatory shifts in the US, UK and EUshadow AI risk and the need for discoveryrisk tiering that matches control to impactmachine-speed controls for access, data and monitoringcross-functional roles, stress tests and routinespractical foundations for predictable approvalsWe start by breaking down the speed–safety paradox: tools ship overnight, employees adopt them in hours, and traditional control gates buckle under constant change. Rather than slowing delivery, we show how clear guardrails become accelerators. You’ll hear why a living AI inventory is the first deliverable, how to write plain-language acceptable use rules that cut negotiation time, and where many organisations lose control by assuming they already have it. From there, we map the regulatory squeeze shaping decisions right now: US momentum toward lighter-touch national alignment alongside new state-level obligations, UK calls for faster oversight and AI stress testing, and EU AI Act timelines that make transparency and risk management non-negotiable.  We translate those pressures into concrete steps: risk tiering that aligns review depth to impact, machine-speed controls like least-privilege access, masking and tokenisation, centralised logging, and real-time anomaly alerts that can block unsafe actions before they become incidents. Finally, we make governance operational. Fast, safe AI needs cross-functional roles with clear decision rights, repeatable processes, and service levels that keep work flowing. Think central oversight platforms, continuous monitoring, stress tests modelled on cybersecurity, and a culture where compliance is built into code patterns, not stapled on at the end. By the close, you’ll have a crisp foundation to implement now—inventory, tiering, acceptable use, and enforcement—that turns governance into the way you say yes quickly and confidently. If this helped reframe your approach, follow the show, share it with a colleague who owns AI delivery, and leave a quick review telling us which control you’ll implement first. 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

    10 min
  3. How Artificial Intelligence is Reshaping Strategy, Consulting, and Business Leadership

    1d ago

    How Artificial Intelligence is Reshaping Strategy, Consulting, and Business Leadership

    Are you ready for the revolution that's already transforming business strategy? In this riveting conversation, Professor Greg Bunch from the University of Chicago Booth School of Business delivers a wake-up call about artificial intelligence that will change how you think about business forever. TLDR:  Domain expertise remains crucial even as AI capabilities expandThe best value from business education comes from networks and brand, not just knowledgeAI doesn't replace human judgment but requires it to evaluate output qualityRelationships still "compound like money" over decades in businessKnowledge workers must focus on "not urgent but important" learning to stay relevantFuture competitive advantage comes from combining human expertise with AI capabilitiesThe best technologists and managers are already using AI to amplify their skillsHuman-to-human relationships remain irreplaceable in high-level decision makingStrategy still requires "go and see" - physically understanding customer needs first hand"Management consultants should be very afraid," warns Bunch, revealing that AI can now produce better market analyses in minutes than top consulting firms deliver in weeks—for $20 a month instead of millions.  This isn't science fiction; it's happening right now in boardrooms worldwide. But rather than painting a dystopian picture, Bunch offers a practical roadmap for navigating this new landscape. The secret lies in understanding what machines can't replace. While knowledge has become commoditized, relationships still "compound like money" over decades.  A coffee at a trade show might lead to a $100 billion deal twenty years later—something no algorithm can replicate. The distinction between domain experts who use AI as a powerful tool versus those who compete against it makes all the difference between thriving and merely surviving. Particularly fascinating is Bunch's analysis of business education's evolving value proposition. "If you just want knowledge, go to the cheapest business school," he advises, explaining that networks and brand recognition now outweigh information transfer as education's primary value.  This reframing challenges institutions and individuals alike to reconsider what truly matters in professional development. Whether you're a C-suite executive, entrepreneur, consultant, or knowledge worker concerned about your future, this episode provides essential insights for making AI your partner rather than your replacement. As William Gibson famously noted, "The future is already here—it's just unevenly distributed." Will you be among those who embrace this transformation and shape the future, or will you be left behind? The call to action is clear: embrace AI as a partner rather than fearing it as a threat.  Those who adapt will thrive while those who resist risk obsolescence. 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

    57 min
  4. Are You Buying Efficiency, Transformation, or Strategic Optionality?

    4d ago

    Are You Buying Efficiency, Transformation, or Strategic Optionality?

    AI investment is often treated as one portfolio, creating confusion about value, governance, and returns. This episode explains why leaders need to distinguish efficiency, transformation, and strategic optionality before judging AI performance.  It explores how different AI bets create value across different time horizons. TLDR / At a Glance • Efficiency gains in existing work  • Transformation through workflow redesign  • Optionality as future strategic flexibility  • Category errors in AI business cases  • Portfolio metrics by investment type  • Governance matched to value logic The key takeaway is that strong AI portfolios classify investments first, then apply the right proof standard for each category. 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

    15 min
  5. The Human Sandwich Versus The Slop Machine

    5d ago

    The Human Sandwich Versus The Slop Machine

    A company lets AI write most of its code, generate its graphics, and handle nearly half of its customer support emails from start to finish. You’d expect redundancies. Instead, they fire nobody and end up with more human work than ever. That tension is the clue to what AI automation is really doing to modern jobs, knowledge work, and the future of work. TL;DR / At A Glance: • agent employees with names and roles, from Slack monitoring to autonomous customer supportwhy automation shifts jobs upwards into oversight, routing, boundaries and edge casesthe human sandwich model of co-working, framing then generating then judgingthe hidden maintenance burden, drift, integrations breaking and compute token costsvisible residue of human competence, abundance, and the flood of generic workagent versus agency, why goals still need a framer and a reason to carethe closing challenge, finding the unframeable part of your work and leaning into itGoogle AI Agents walk through a concrete case study from Dan Schipper’s “After Automation” and unpack two modes of human and AI collaboration.  First are agent employees: named, role-based systems living inside tools like Slack and customer support, drafting proposals, collecting ideas, and even closing tickets autonomously.  Second is co-working in a shared document, the “human sandwich”: we set the frame, AI does the heavy lifting, then we judge, correct, and extend the output. From there we get honest about the hidden costs: maintenance, drift, brittle integrations, and compute token spend that can turn “simple automation” into a complex system that constantly needs care.  Then we zoom out to the economics of generative AI.  When cheap competence floods the market, we get slop: perfectly fine, deeply generic work. The result is a new premium on difference, live context, and human judgement.  We also tackle benchmark hype and “chart psychosis”, why a benchmark is a frozen frame, and why the most valuable skill is often choosing the frame in the first place. If you’ve been feeling that tightness in your chest about AI and job security, this is a practical way to think clearly and act.  Subscribe, share with a colleague, and leave a review with your answer: what is the unframeable part of your work that you should lean into next? 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

    24 min
  6. The 2026 CEO Blueprint For Rewiring Business

    May 30

    The 2026 CEO Blueprint For Rewiring Business

    The “blueprint” for modern business is changing while you’re still trying to build from it, and CEOs are treating 2026 as the year that decides who keeps up and who falls behind.  Google voice agents unpack the latest 2026 IBM Institute for Business Value CEO study, conducted with Oxford Economics, and translate its biggest signals into plain language you can use in strategy meetings, operating reviews, and career planning. TL;DR / At A Glance the 2026 IBM Institute for Business Value CEO study and why it matters at global scaleAI shifting from productivity tool to operating model rewiringmoving from siloed leadership to real-time “basketball team” executiondecision latency changing from information bottleneck to authority bottleneckproductive friction enabled by shared dashboards and predefined decision rightsthe rise of the Chief AI Officer and the growing influence of the CHROthe AI flywheel: reinvesting savings to compound automation and speed We start at the top: why AI isn’t a productivity layer any more, but a rewiring of how decisions get made. The old relay-race org chart breaks when intelligence is real-time, so authority moves closer to the work, new roles like the Chief AI Officer surge, and “productive friction” replaces pointless spreadsheet battles. Then we follow the AI flywheel as leaders reinvest early savings into deeper automation, aiming for a world where AI executes a huge share of routine operational decisions while humans design the rules, exceptions, and ethical guardrails. From there, we dig into competitive advantage: the shift from generic foundation models to a hybrid AI strategy that blends LLMs with smaller specialised models trained on proprietary data, plus the idea of AI sovereignty and why it matters for security, governance, and differentiation. We also explore what reskilling really means in an AI first workplace, including systems thinking and the reality of AI as a day-to-day workflow orchestrator. Finally, we lift our eyes to the quantum horizon, where ecosystem partnerships and clean, portable data architecture become the real preparation. If this helps you think more clearly about where business is heading, subscribe, share it with a colleague, and leave a review so more people can find the conversation. Source: IBM Rewriting the C-Suite, The Fast Track to 2030 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

    19 min
  7. The Next AI Failure Will Be a Coordination Failure

    May 28

    The Next AI Failure Will Be a Coordination Failure

    AI failure is shifting from isolated model mistakes to the way organisations coordinate work around them. As agentic systems cross tools, teams, and customer journeys, weak ownership and unclear handoffs can turn small errors into serious incidents. This episode explores why workflow governance now matters as much as model performance. TLDR / At a Glance • Coordination risk in AI workflows  • Agentic AI and cross-system exposure  • Ownership gaps and escalation failures  • Handoff design as a control point  • Workflow inventories over model registers  • Metrics for operational AI governance The key takeaway is that scalable AI depends on strong coordination systems around every workflow. 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

    14 min
  8. How to Redesign a Workflow for AI Without Automating the Mess

    May 21

    How to Redesign a Workflow for AI Without Automating the Mess

    AI can speed up individual tasks, but faster activity does not always create better business performance. This episode examines why meaningful AI value comes from redesigning workflows around outcomes, constraints, decisions, and accountability. It explores how leaders can avoid automating inefficient processes. TLDR/ At a Glance • Workflow redesign over task acceleration • Cycle time, handoffs, and bottlenecks • Human judgement and AI role clarity • Autonomy matched to risk • Metrics beyond adoption and usage • Governance embedded in operations If AI is making everything faster, why does work still take forever?  The uncomfortable answer is that most organisations use AI to accelerate tasks inside the same broken process, then wonder why cycle time, quality, and customer outcomes barely change. We unpack the difference between task productivity and workflow performance, and why “faster drafting” can still leave you waiting days for reviews, approvals, escalations, and missing information to be chased down.   We walk through a practical approach to enterprise AI transformation that starts with the outcome rather than the tool: define the business result, map the workflow from trigger to completion, and find the real constraint. From there, AI becomes a design decision: place it where it reduces waiting, improves first-pass quality, lowers coordination overhead, and shortens the path to a decision. We also tackle “automating the mess”, the common failure mode where AI increases upstream output and quietly creates more downstream rework and exception handling.   Autonomy gets special attention because agentic AI is not automatically more valuable. We break down when AI should assist, when it should recommend, and when it can take bounded action with the right controls. To keep things grounded, we share the workflow metrics that actually prove ROI: cycle time, throughput, quality, rework, exceptions, cost per case, stakeholder outcomes, and human review effort, plus what good governance looks like when it is built into everyday work rather than left in a policy document. If you found this useful, subscribe, share it with a colleague redesigning a process, and leave a review with the workflow you would fix first. The key takeaway is that AI creates durable value when organisations improve the flow of work, not simply the speed of isolated tasks. Read the written version on my LinkedIn page  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

    16 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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