Kieran Gilmurray
318 episodes listed below
Agentic AI, translated for leadership decisions.
The Digital Transformation Playbook treats AI agents as a boardroom operating question, not a novelty. Episodes move from legal risk and C-suite ownership to production architecture, knowledge agents, swarms, and workforce scenarios.
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The Digital Transformation Playbook is an executive guide to AI systems that no longer sit quietly inside a chat window. Its central concern is action. What changes when software can retrieve, decide, route, delete, coordinate, delegate, and operate without constant supervision? The show treats that shift as a business architecture problem. It is not casual futurism. Episodes work through concrete leadership questions, including who owns AI in the C-suite, how agents should be governed, and what controls belong in place before autonomy reaches production scale. The legal episodes are especially focused on blurred accountability. An agent may read untrusted input, touch sensitive data, or act independently, but the show stresses how dangerous the combination becomes when those powers converge without oversight. Cybersecurity is handled in practical terms. Prompt instructions are not treated as security controls, and agent behavior is framed through privilege, access, injection risk, and failure modes. The production chapters have a different rhythm. They move from prototype enthusiasm to the harder work of reliability, scalability, secure operations, health checks, failover, and cost discipline. Memory is another recurring thread. The show explains why agents need access to institutional knowledge, support cases, documents, and engineering notes if they are expected to solve real customer problems rather than simply triage tickets. It also examines coordination. A single knowledge agent can help, but enterprise work often needs multiple specialists aligned across billing, support, account management, product usage, and technical status. That leads naturally into swarm-style thinking. The show warns against replacing human silos with agentic silos. It also looks beyond the enterprise stack. A World Economic Forum white paper becomes a way to discuss AI, talent, displacement expectations, profit pressure, and possible labor-market futures for 2030. The style is structured and didactic, sometimes like a narrated briefing and sometimes like a guided analysis of a paper or chapter. The result suits listeners who want usable language for boardrooms, governance reviews, transformation programs, and risk conversations. It is less about marveling at AI and more about asking what breaks, who is responsible, and how to build systems that survive contact with real business conditions.
Made for: The show is for executives, transformation leaders, technology managers, and governance-minded operators evaluating AI agents in business settings. It especially suits listeners who need practical language for risk, ownership, architecture, and organizational change.
What sets it apart: It connects agentic AI theory to operating decisions: access, accountability, memory, swarms, production readiness, and legal exposure. Similar shows often stay at trend level; this one keeps returning to what leaders must authorize, monitor, and defend.
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…
Kieran asks whether AI can survive contact with invoices, EU law, and your own overconfident brain.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A sharp guide to where autonomous AI agents collide with the law.
This episode treats AI agents as software that does more than talk, and that shift gives the legal risk real weight. It works best when it turns abstract concern into a simple governance rule: do not mix untrusted input, sensitive data, and unsupervised autonomy at once.
Leadership balance before burnout takes over.
A midweek reset for school leaders.
The Digital Transformation Playbook episode “Beyond Rebranding HR: Building People Strategy That Performs” features Laura and Kieran discussing why renaming HR to people strategy changes little without new structures, expectations, and workflows.
What does practical AI look like?
This episode explores how leaders can make effective decisions by balancing human judgment and AI integration in organizations, featuring insights from Dr.
What changes when AI quits chatting and starts doing things?
This episode discusses who should own AI in the C-Suite, focusing on agentic AI's impact on leadership roles and decision rights.
A deep dive into a research experiment where autonomous AI agents were given extensive access and their unexpected, chaotic behaviors were observed.
Kieran and Andy Haler examine why MIT and Boston Consulting Group reported a 95% AI-project failure rate, with Haler identifying poor corporate data quality and mismatched use cases as major causes.
The Digital Transformation Playbook examines whether generative AI builds internal expertise or creates a temporary "illusion of competence," using the 2026 report Artificial Intelligence, Cognitive Offloading, and Implications for Education by Jason M.
This episode discusses the critical shift from AI agent demos to production-ready assets, focusing on reliability, scalability, security, and cost management.
This episode discusses moving from single AI agents to coordinated swarms for enterprise customer success.
This episode explains how to give AI agents memory using RAG to access organizational knowledge and solve complex problems.
This episode explains how executives can strategically implement AI agents by focusing on core business principles and understanding key concepts like working memory, without needing deep technical expertise.
This episode analyzes a World Economic Forum white paper on four possible futures for the job market by 2030, focusing on AI's impact on employment.
This episode explores why uniquely human skills like critical thinking and emotional intelligence are becoming the most valuable professional capabilities in an AI-driven economy.