Kieran Gilmurray
Boards have approved AI strategies and run pilots. Few have moved beyond them into operating advantage. Most leadership teams still cannot answer a basic question: which decisions, processes, and roles should an AI agent now own, and how do we govern that shift without breaking the business?
Kieran Gilmurray helps business leaders move generative and agentic AI from pilot projects into operating reality across finance, HR, customer service, and the wider enterprise.
Full Profile
Why organisations work with Kieran Gilmurray
- He has shipped AI and intelligent automation programmes inside named enterprises including Rapid7, Mercer, and Pearson, with documented savings in the tens of millions. That track record sits behind every framework he presents.
- His three books on generative AI, agentic AI, and organisational digital transformation give boards a structured reference, not a hype reel. They are written for the executive who has to decide, not the engineer who has to build.
- He treats agentic AI as an operating model question. The conversation moves quickly from “what is an AI agent” to which decisions an agent should own, what governance the board needs to put around it, and how the workforce is redesigned in response.
- Seven LinkedIn Top Voice recognitions and Thinkers360 rankings in generative and agentic AI mean the audience is hearing from a voice already widely cited in their own feeds, which lifts the in-room credibility of the conversation.
Biography highlights
- Author of Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, The A to Z of Generative AI, and The A-Z of Organizational Digital Transformation.
- CEO and Founder, Kieran Gilmurray and Company Limited.
- Chief AI Innovator, Technology Transformation Group.
- Seven-time LinkedIn Top Voice in AI and related categories.
- Listed by Thinkers360 in the Top 50 Generative AI and Top 100 Agentic AI thought leaders.
- MBA (1st Class Distinction, Entrepreneurship Award) and MSc in Computer Science, both Queen’s University Belfast.
Biography
The gap between AI ambition and AI in operation has become the defining management problem of the decade. Pilots prove the technology works. Boards then struggle to convert those pilots into structural advantage, and most leadership teams still lack a clear view of which decisions an AI agent should now own.
This is the territory Kieran Gilmurray works in. As CEO of Kieran Gilmurray and Company Limited and Chief AI Innovator at the Technology Transformation Group, he advises boards and executive teams on moving generative and agentic AI from concept into operating reality. His work spans finance, HR, customer service, and the wider digital labour stack.
The credibility behind the advice is operational. Programmes he has led inside Rapid7, Mercer, and Pearson are referenced across his bureau profiles with quantified outcomes in the tens of millions of pounds and dollars. His three books, including Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, give business leaders a structured way to think about agent design, governance, and workforce redesign without retreating into engineering language.
Independent recognition reinforces the position. Kieran has been named a LinkedIn Top Voice seven times and ranks on Thinkers360 leaderboards for both generative AI and agentic AI. He holds an MBA with distinction from Queen’s University Belfast and an MSc in Computer Science from the same institution, a pairing that maps directly onto the audience he writes for: business leaders who need the technology to make commercial sense.
Key speaking topics
- Agentic AI and digital labour
- Generative AI for business leaders
- AI strategy and operating model design
- Intelligent automation at enterprise scale
- Digital transformation in regulated industries
- AI governance and board-level oversight
- Future of work in the age of AI
Ideal for
- Boards and executive committees moving from AI pilots to enterprise deployment
- CIOs, CTOs, CDOs, and Chief AI Officers designing operating models around generative and agentic AI
- CHROs and transformation leads redesigning roles and workflows as AI agents enter the workforce
- Industry conferences in financial services, professional services, technology, insurance, and the public sector
Audience outcomes
- A working definition of agentic AI that distinguishes it from generative AI and earlier automation, with examples from named enterprises
- A board-level view of where AI agents are already producing operating savings and where they are still pilot theatre
- A practical map of governance questions a leadership team must answer before scaling AI agents across functions
- A clear framing of workforce redesign as AI shifts which decisions sit with humans and which sit with digital labour
Talks
A keynote on how generative and agentic AI are reshaping the structure of work, the design of roles, and the social contract between employers and employees.
Key takeaways:
- How agentic AI changes the work that humans do, not just the speed at which they do it
- What leaders need to redesign first when AI agents enter operational workflows
- The governance and ethical questions boards must own, not delegate
A grounding session for boards and executive teams on the distinctions between generative AI, agentic AI, and traditional automation, with practical business applications.
Key takeaways:
- A clear taxonomy of AI technologies relevant to enterprise leaders
- Where each category is already producing operating value
- The questions a leadership team should be asking their CIO and CTO this quarter
A keynote on what changes in the practice of leadership when autonomous AI agents begin to take operational decisions inside the business.
Key takeaways:
- The leadership shift from managing humans alone to managing humans and digital labour together
- Where decision rights need to move as AI agents take on routine judgement work
- How to build trust in agentic systems with employees, customers, and regulators
A strategic session for senior leaders on building an operating model around agentic AI, drawing on named enterprise examples and Kieran’s own client work.
Key takeaways:
- An operating model lens for agentic AI, not a technology lens
- Where the first generation of AI agents is already producing measurable returns
- A framework for sequencing AI agent deployment across the enterprise
Videos
Testimonials
Books
Fees
| EUR | GBP | USD | |
|---|---|---|---|
| Home Country | Under €12000 | Under £10,000 | Under $15000 |
| Asia Pacific | Under €12000 | Under £10,000 | Under $15000 |
| Europe | Under €12000 | Under £10,000 | Under $15000 |
| Middle East & Africa | Under €12000 | Under £10,000 | Under $15000 |
| South America | Under €12000 | Under £10,000 | Under $15000 |
| United Kingdom | Under €12000 | Under £10,000 | Under $15000 |
| US East Coast | Under €12000 | Under £10,000 | Under $15000 |
| US West Coast | Under €12000 | Under £10,000 | Under $15000 |
| Virtual | Under €12000 | Under £10,000 | Under $15000 |