The Digital Transformation Playbook

Kieran Gilmurray

Kieran Gilmurray is an Internationally acclaimed expert in leadership, AI, strategy and transformation. He helps boards, executive teams and senior leaders make sense of complex technological change and turn it into practical business value.  Most experts make technology feel more complex. Kieran makes complex ideas simple, useful and actionable.  He has worked with leadership teams across the globe to help them understand AI, use data to make better decisions and apply technology in ways that improve performance.  The outcome is clearer thinking, stronger leadership confidence, better adoption and more measurable business benefit from technology.   Kieran and his team bring the practicality many thought leaders lack, the human clarity large consultancies often miss, and the strategic depth that goes beyond standard AI training.  If your organisation is trying to digitally transform and make AI useful, safe and commercially relevant, then connect. 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 🌎 Website: www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK or Audible https://www.audible.com/search?keywords=kieran+gilmurrayKieran

  1. 1d ago

    Scaling AI Safely: How Governance Turns Risk into Advantage

    AI is scaling fast, but governance is struggling to keep pace. As AI systems move into core decisions, the risks grow faster than the controls designed to manage them. This episode explores how organisations can turn governance into a strategic advantage. TLDR / At a Glance • AI risk scaling faster than oversight  • Governance as executive responsibility  • Regulatory pressure across EU, UK, US  • Converging principles across frameworks  • Audit logs, oversight, escalation controls  • Governance enabling trust and scale Strong governance transforms AI from a source of uncertainty into a system that can scale with confidence, accountability, and control. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Scaling AI Safely: How Governance Turns Risk into Advantage
  2. 2d ago

    Legal AI: Why Your Firm Needs a Strategy Now

    AI is turning up in every legal team’s inbox, but senior leaders are still stuck on the same dilemma: what’s genuinely usable in law right now, and what’s risky theatre that could blow up on confidentiality, accuracy, or ethics?  We sit down with Colin Levy, general counsel at legal tech company Malbek and an adjunct law professor, to get a grounded view of legal AI that goes beyond hype.  His headline is simple and sharp: AI is a powerful but imperfect tool, and lawyers need to work with that reality rather than pretend it will disappear. TL;DR / At A Glance why AI in law is “powerful but imperfect” and why that matters for riskwhat hallucinations look like in legal work and how to reduce them with context and grounded sourceswhere AI is genuinely useful today such as first drafts, review, summarisation and knowledge creationwhy the real win is strategic productivity rather than raw efficiencyhow AI pressures the billable hour and what “value” can look like insteadhow to think about junior lawyer hiring and onboarding when AI can draftWe dig into the problem everyone whispers about and some people ignore: hallucinations. Colin explains why fabricated answers are a feature of how generative AI works, then walks through practical ways to reduce the risk, from giving better context and instructions to using tools trained on legal data for legal research.  We also talk about what “collaboration” with AI looks like in real workflows: first drafts, document review, summarising large datasets, and creating usable knowledge, with humans still responsible for checking the work. From there, we get concrete on leadership decisions: how to evaluate AI vendors without becoming a technical expert. We cover data handling and data sharing, security credentials such as SOC 2, privacy expectations including GDPR, and what to ask about model updates, transparency, and liability.  We also unpack AI governance that actually works, training and permissioning, a sensible 90-day plan, and why measuring success by logins is meaningless. Finally, we tackle the future of junior lawyers, onboarding in the era of AI, and where practice areas like litigation analytics and contract work may shift next. If you want a clear, practical approach to legal technology and AI governance that protects clients while improving output quality, press play, then subscribe, share with a colleague, and leave us a review.  What’s the one AI rule your team refuses to compromise on? Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Legal AI: Why Your Firm Needs a Strategy Now
  3. 2d ago

    Chapter 7 The Human Element: Culture, Confidence, and People Capability in an Intelligent Organization

    AI capability only creates value when people have the confidence, authority, and incentives to act on intelligent signals. This episode examines the organizational conditions that determine whether insight becomes action or stalls inside existing decision structures. It explores how culture, governance, workforce design, and accountability shape intelligent organizations. TLDR / At a Glance • Creators, translators, and operators • Psychological safety under uncertainty • Clear authority for human and model decisions • Reskilling focused on judgment • Incentives aligned with decision quality • Decision-centric talent and expertise models  The key takeaway is that effective AI adoption depends on designing human systems that support informed judgment, timely action, and continuous learning. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Chapter 7 The Human Element: Culture, Confidence, and People Capability in an Intelligent Organization
  4. Sep 21

    Chapter 6 The Intelligent Enterprise: Integration, Coherence, and the Experience of One Joined-Up Organization

    An intelligent enterprise depends on more than advanced analytics, models, and data platforms. Value emerges when signals, decisions, authority, and actions operate coherently across organizational boundaries. This episode explores how integration turns local intelligence into coordinated enterprise capability. TLDR / At a Glance System intelligence over isolated capabilitiesConnected signals, decisions, and actionsCustomer journeys as tests of coherenceShared authority and accountabilityIncentives aligned to enterprise outcomesIntegration across data, interpretation, and executionSmart models can still produce a stupid organisation. When signals sit in one function, interpretation happens in another, and action lands somewhere else entirely, the strategic intelligence loop slows at every handoff. We explore what it really takes to become an intelligent enterprise where intelligence operates as a system, not a set of isolated analytics wins. We walk through concrete examples from banking, industrial operations, telecommunications, insurance, and supply chain. You’ll hear why banks can simultaneously treat the same customer as high risk, high value, and marginal, and how predictive maintenance can improve plant uptime while the wider network still misses delivery commitments. The thread running through every case is coherence: shared signals are not enough if the logic, authority, and accountability to act remain fragmented. We also flip the lens to the customer experience, because customers become the first systems integrator. They feel the seams in broken journeys, missing context, and inconsistent decisions long before executives see the pattern in dashboards. From there, we get practical about integration: why platform consolidation and enterprise data programmes plateau without operating model change, and how control towers only deliver resilience once cross-functional decision rights are real. If you care about AI strategy, decision intelligence, governance, and building a joined up organisation that can learn and adapt, this is for you. Subscribe, share with a colleague who owns “the handoffs”, and leave a review with the one integration barrier you want to fix next. Enterprise intelligence scales when technology, governance, decision rights, and incentives work together as one connected system. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Chapter 6 The Intelligent Enterprise: Integration, Coherence, and the Experience of One Joined-Up Organization
  5. Sep 17

    The AI ROI Bottleneck

    56% of chief executives say AI has brought them neither higher revenue nor lower cost over the past year. That stat sounds like a model problem, but we think it is usually an operating model problem: the organisation around the technology cannot reliably turn a capable output into a business outcome. We break down why “better models” so often fail to change the numbers. A model can draft, predict, classify, and recommend, but it cannot fix inaccessible data, broken workflows, serial approvals, manual re-entry, or unclear decision rights. We dig into the most common value leaks that quietly kill enterprise AI ROI: data that cannot be retrieved in the right form at the right moment, processes that stay unchanged around a faster step, and recommendations that nobody is authorised to act on. We also cover adoption, incentives, governance, and measurement, because without clear metrics and accountability, “time saved” turns into anecdotes instead of profit. A key tool we use is the adequacy threshold: define what “good enough” means for a specific use case, choose the cheapest model that clears that line, then invest management effort where the real constraint sits. We make it concrete with examples from insurance claims, procurement cycles, and professional services pricing, where AI can speed up document work while value still fails to reach the P&L. We finish with the agent trap. As AI agents move from answering to acting, the ceiling rises, but so do the requirements for permissions, monitoring, cost control, exception handling, and governance. If you want AI value that lasts, the surrounding organisation has to be trusted to let a machine act.  Subscribe, share this with a leader who owns outcomes, and leave a review: what is the biggest blocker to AI ROI where you work? Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

  6. Sep 15

    Why Leaders Keep Adding When They Should Subtract

    The fastest way to slow an organisation down is to keep “fixing” complexity by adding more. More meetings. More KPIs. More tools. More approvals. More governance. It feels decisive and responsible, but over time the accumulation creates execution drag: decisions take longer, ownership gets murky, and teams spend more energy coordinating than solving real problems. TLDR / At a Glance Addition as a leadership signalCognitive bias against subtractionOrganisational systems that reward launchesBusywork, meetings, and execution dragStrategic subtraction across meetings and governanceProtecting capability while removing wasteWe lay out the case for strategic subtraction: the leadership discipline of removing work, process and activity that no longer creates enough value. Along the way, we unpack why subtractive solutions are so easy to miss, especially under pressure, and why most organisations are built to launch things but not to stop them. We also borrow from Peter Drucker’s planned abandonment to ask a blunt question that should sit at the heart of strategy: knowing what we know now, would we start this again today? From there, we connect the dots to measurable realities like busywork and coordination overhead, decision latency driven by unclear decision rights, and the way constant fragmentation undermines deep work, innovation and wellbeing. We then bring it to life with practical examples of subtraction at different levels, from cutting recurring meetings to reducing bureaucracy and even using product constraint as a strategic advantage. If you’re trying to lead in the AI era, this is a sharper, kinder way to create focus without burning people out. Subscribe, share the episode with a colleague, and leave a review, then tell us what you would subtract first. The key takeaway is that stronger leadership often means removing work that no longer creates enough value. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Why Leaders Keep Adding When They Should Subtract
  7. Sep 15

    How to Build Subtraction Into the Operating System of the Business

    Complexity returns when organisations keep adding projects, tools, controls, meetings, and reporting without systematically removing outdated work. Strategic subtraction becomes sustainable when it is embedded in the operating rhythms that shape priorities, resources, and decisions. This episode explores how leaders can make subtraction a recurring management discipline. TLDR / At a Glance • Quarterly stop-doing reviews  • Subtraction gates for new work  • Portfolio pruning and consolidation  • Visible measures of complexity removed  • AI-assisted identification of waste  • Balanced scorecards and risk guardrails Strategic subtraction works when stopping, simplifying, pausing, and consolidating become normal parts of how the business operates. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    How to Build Subtraction Into the Operating System of the Business
  8. Sep 14

    Chapter 5 Decision Intelligence: Turning Insight into Behaviour and Behaviour into Advantage

    Intelligence creates value only when it changes decisions, behaviour and outcomes. Strong AI and analytics can still fail when workflows, authority and incentives are not designed to act on their signals.  This episode explores how Decision Intelligence closes the gap between insight and operational action. TLDR / At a Glance • Insight-to-action gap  • Decision Intelligence operating models  • Embedded AI decision logic  • Authority and accountability design  • Incentive and workflow alignment  • Decision environments built for action The key advantage comes from designing organizations where credible intelligence consistently shapes decisions and behaviour. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.   🌎 Website: www.KieranGilmurray.com 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 📘 Kieran Gilmurray | LinkedIn 🌐 Substack: https://kierangilmurray.substack.com 📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK  AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.

    Chapter 5 Decision Intelligence: Turning Insight into Behaviour and Behaviour into Advantage

About

Kieran Gilmurray is an Internationally acclaimed expert in leadership, AI, strategy and transformation. He helps boards, executive teams and senior leaders make sense of complex technological change and turn it into practical business value.  Most experts make technology feel more complex. Kieran makes complex ideas simple, useful and actionable.  He has worked with leadership teams across the globe to help them understand AI, use data to make better decisions and apply technology in ways that improve performance.  The outcome is clearer thinking, stronger leadership confidence, better adoption and more measurable business benefit from technology.   Kieran and his team bring the practicality many thought leaders lack, the human clarity large consultancies often miss, and the strategic depth that goes beyond standard AI training.  If your organisation is trying to digitally transform and make AI useful, safe and commercially relevant, then connect. 📅 Book a call: https://calendly.com/kierangilmurray/catch-up 🌎 Website: www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK or Audible https://www.audible.com/search?keywords=kieran+gilmurrayKieran