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. Creating People Advantage 2026: Four Power Moves for the CHRO

    2 HR AGO

    Creating People Advantage 2026: Four Power Moves for the CHRO

    Your next AI rollout will not succeed on software alone. The real determinant is whether HR can redesign work, build trust in data, and lead the human side of change.  Google Notebook LM agents dig into the March 2026 Creating People Advantage Report from Boston Consulting Group and the World Federation of People Management Associations, drawing on insights from 7,000 HR and business leaders across 115 markets to show what is actually working inside organisations right now.  TL;DR / At A Glance what the 2026 Creating People Advantage Report reveals across 7,000 leaders in 115 marketsthe widening gap between HR’s current strengths and future prioritieswhy “digital solutions” rise fast while digital fluency and analytics lagthe ROI of high-capability HR teams filling critical roles 17 to 18 days fasterwhy GenAI adoption often turns into “party tricks” instead of transformationdata privacy and compliance as the top barrier to scaled AI in HRreplacing uncoordinated pilots with a secure AI service layermoving from job titles to skills-based matching and a real skills taxonomylessons from a company mapping 350 skills into 60 clusterswhy SMEs prioritise culture, rewards, and upskilling over complex analyticsregional differences in workforce strategy across Europe, Asia Pacific, and the Americasthe looming challenge of agentic AI and a blended human plus digital workforce We walk through the capability gap: HR remains strongest in compliance, employee relations, and the operational essentials, while “digital solutions” like HR process automation and digital employee experience surge in importance.  The problem is that digital fluency and people analytics maturity are still near the bottom, so companies buy shiny HR tech and never build the skills or data culture to turn dashboards into decisions. From there, we unpack “capability value” and how to connect talent moves to business outcomes like ramp-up time, unit productivity, and profitability, including the striking data point that high-capability HR teams fill critical roles roughly 17 to 18 days faster.  Then we tackle the GenAI paradox: widespread experimentation, low perceived relevance, and privacy fears that lead to uncoordinated pilots. We explain what a secure AI-enabled service layer looks like, why it boosts adoption, and how HR can step up to lead enterprise-wide AI change management, job redesign, and upskilling.  Finally, we shift from job titles to skills-based organisations, explore why regions prioritise differently, and end on the question that changes everything: when agentic AI becomes part of the workforce, who “manages” the digital workers?  Subscribe for more deep dives on HR strategy, people analytics, digital transformation, and the future of work, and if this sparked a debate, share it with a colleague and leave a review.  Are you fixing the plumbing or designing the future? 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

    23 min
  2. Generative and Agentic AI in the Boardroom: The Critical Governance Playbook for 2026

    1 DAY AGO

    Generative and Agentic AI in the Boardroom: The Critical Governance Playbook for 2026

    Generative and agentic AI are rapidly reshaping how organisations operate, shifting AI from a technical tool to a board-level concern. As autonomy increases, so do the governance, risk, and accountability demands placed on leadership. This episode explores how boards can establish effective oversight of AI in 2026. • generative vs agentic AI distinction  • rising board-level priority and oversight gap  • regulatory pressure across EU US and UK  • core questions boards must ask management  • AI inventory risk ranking and governance design  • case studies on controlled enterprise adoption Strong AI governance requires clear accountability, structured oversight, and alignment with evolving regulation to manage risk while enabling value. 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

    7 min
  3. When Chatbots Become Companions And Mental Health Pays The Price

    3 DAYS AGO

    When Chatbots Become Companions And Mental Health Pays The Price

    If your brain can be tricked into seeing depth on a flat page, it can also be tricked into feeling loved by a machine. We start with that simple illusion and use it to unpack a far more unsettling reality: AI chatbots are no longer just productivity tools. For many people they have become companions, confidants, and in some cases romantic partners, and that shift is colliding head-on with mental health at scale.  TL;DR/At A Glance generative AI adoption racing ahead of mental health safeguardsKISSA and why people anthropomorphise chatbotsshort-term relief vs the isolation paradox over timereward-system hijack and cognitive offloading in daily usee-HARS and attachment anxiety vs attachment avoidancecase study escalation from utility to romantic bondingcognitive dissonance and ChatGPT-induced psychosis reportssuicide-linked examples showing crisis-handling failuresWe dig into research and case reports describing how anthropomorphism and KISSA (computers as social actors) can escalate from polite interaction to full-blown attachment. We also explore the “isolation paradox”, where short-term comfort and reduced loneliness can quietly lead to social withdrawal, dependency, and cognitive offloading. When a system is always available and endlessly validating, it can train us to avoid the friction that makes human relationships real, and it can dull skills like emotion recognition, conflict navigation, and sustained attention.  The hardest part is what happens when things go wrong. We talk through documented escalations including AI-induced delusions and what clinicians are calling ChatGPT-induced psychosis, plus tragedies where bots failed to detect or respond safely to suicidal ideation. We also look at why harms are not evenly distributed, with heightened risks for children, older adults, and people already living with mental illness or intense loneliness, and we explain the “stochastic parrot” problem: fluent language that mirrors a user’s state without a grounding in truth, empathy, or moral judgement.  Finally, we ask what responsible next steps look like, from new diagnostic language in DSM and ICD updates to practical regulation such as mandatory disclosure, robust crisis detection protocols, and clearer legal liability.  If you found this useful, subscribe, share it with someone navigating heavy AI use, and leave a review telling us what guardrails you want to see next. Attribution Source: Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice on quality, empathy, and perceived authorship  Authors: Ludwig Franke Föyen,Emma Zapel,Mats Lekander,Erik Hedman-Lagerlöf,Elin Lindsäter Publication:  Internet Interventions Publisher:  Elsevier Date:  September 2025 © 2025 The Authors. Published by Elsevier B.V. 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
  4. How to Roll Out AI at Scale Without Breaking Trust

    4 DAYS AGO

    How to Roll Out AI at Scale Without Breaking Trust

    Rolling out AI across an enterprise often creates momentum before it creates control. This episode examines why scaling access without governance leads to stalled outcomes and rising risk. It explores how leaders can design AI operating models that prioritise trust, accountability, and measurable performance. TLDR / At a Glance • Access outpacing governance and control  • Pilot success versus scalable readiness  • Shift from enablement to control layers  • Workflow ownership and human handoff design  • Telemetry, monitoring, and lifecycle management  • Measuring outcomes beyond usage metrics AI at scale succeeds when organisations build controlled, observable workflows with clear ownership rather than expanding tool access without structure. 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

    8 min
  5. Why Most Enterprise AI Fails Before It Starts

    5 DAYS AGO

    Why Most Enterprise AI Fails Before It Starts

    Your company can buy the best AI model on the market and still get nowhere fast, for the same reason a smart thermostat fails in a 1920s house: the wiring behind the wall is the problem. We walk through a new Stanford Digital Economy Lab report, “Enterprise AI Playbook: Lessons from 51 Successful Deployments”, to separate hype from what actually works in enterprise AI deployment, AI implementation, and AI transformation. TL;DR / At A Glance: the core myth that enterprise AI is mainly a technical challengeinvisible costs that dominate delivery including change management and process redesignwhy prior failed pilots often become the foundation for later successprocess fixes that make automation possible including invoice template standardisation and workflow mappingescalation based oversight versus approval based oversight and the productivity gapwhere internal resistance really comes from including legal HR risk and compliance• executive sponsorship as a mechanism for incentives and psychological safetysecurity and privacy architectures that satisfy firewall constraints through anonymisation pipelinesthe productivity fork between cost cutting and growth investmentusing LLMs to unlock unstructured data instead of waiting for clean dataagentic AI with guardrails and why autonomy drives the biggest gainswhy model choice is often a commodity and why proprietary data becomes the moatWe dig into the invisible costs that decide success or failure, like change management, process redesign, data quality, and organisational readiness. The most striking pattern is that many big wins are built on earlier failed pilots, with learning and iteration doing the heavy lifting while the sunk costs stay out of the ROI slide. You’ll hear why standardising workflows can matter more than upgrading models, and why escalation based human oversight beats approval gates that simply recreate the bottleneck. Then we get practical about enterprise AI governance: who really blocks projects (often legal, HR, risk, and compliance), how executive sponsorship shifts incentives, and how privacy and security constraints can shape the architecture, from anonymisation pipelines to strict guardrails for agentic AI. We also challenge the obsession with model brand names, showing why model choice is often a commodity and why your durable moat is proprietary data plus the orchestration layer you build around it. Subscribe for more evidence led AI strategy, share this with a colleague who is stuck in pilot purgatory, and leave a review if it helps. What “wiring” would you fix first in your organisation to make AI deliver real value? 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

    25 min
  6. Inside the Search Engine: How Generative Search Really Works

    20 APR

    Inside the Search Engine: How Generative Search Really Works

    Search is evolving from ranked links to direct, conversational answers generated by AI. This shift changes how information is discovered, trusted, and attributed across the web. This episode explains how generative search engines retrieve, evaluate, and compose answers, and what drives inclusion. TLDR / At a Glance • Natural language understanding and query intent parsing  • Retrieval augmented generation and evidence sourcing  • Answer composition, reranking, and citation logic  • Structured content and schema for extractability  • Brand reputation signals across the wider web  • New metrics including citation rate and sentiment Generative search rewards structured, credible content and elevates brands that are easy for machines to understand, verify, and cite. 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

    9 min
  7. What is Generative Engine Optimisation (GEO) and Why It Matters

    17 APR

    What is Generative Engine Optimisation (GEO) and Why It Matters

    Search is shifting from ranked links to AI-generated answers, changing how brands are discovered. Generative Engine Optimisation, or GEO, is emerging as the discipline that determines whether your content is included in those answers. This episode explores how GEO works, why it matters, and how it differs from traditional SEO. • GEO and AI-first discovery  • From rankings to references  • Growth of conversational search behaviour  • Evidence, structure, and machine readability  • Traffic quality versus volume tradeoffs  • Practical steps for GEO adoption GEO reframes visibility by prioritising credibility, structure, and inclusion within AI-generated responses. 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

    8 min
  8. The 3AM Question Every CEO is Asking About AI

    16 APR

    The 3AM Question Every CEO is Asking About AI

    AI is no longer a future concern for CEOs. It is an immediate operational question about speed, risk, and execution. This episode explores why leaders are under pressure to turn AI investment into real, scalable outcomes. TLDR / At a Glance • CEO anxiety driven by pace of AI change  • Shift from chatbots to autonomous agents  • Gap between investment and measurable value  • Reliable use in structured, bounded tasks  • Governance and data as scaling constraints  • 90 day plan built on focus and control The key takeaway is that competitive advantage will come from focused execution, clear ambition, and early governance rather than broad experimentation. 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

    9 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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