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EPISODE · Jan 26, 2026 · 26 MIN

Orchestrating The Agentic Enterprise

from The Digital Transformation Playbook · host Kieran Gilmurray

The biggest AI failures don’t come from weak models or shaky cloud stacks—they come from organisations that don’t change. We unpack a practical, leader-ready playbook for building an agentic organisation where human creativity and AI agents work in a tight loop to deliver measurable outcomes.TLDR / At a Glance:shifting from task management to outcome managementexecutive AI literacy and risk-aware decision makingpsychological safety for human–AI collaborationhub-and-spoke AI centre of excellence structurehub strategy, governance and talent; spoke customisation and feedbacknew roles: agent orchestrator, interaction designer, ethics and compliance leadhire versus outsource decisions and hybrid modelsthree-step change plan: communicate the why, create evangelists, invest in trainingtraining architecture and delivery methods for lasting adoptionWe start by flipping an old management reflex. Instead of directing tasks, we set outcomes and let hybrid teams - people plus agents with memory, reasoning, and tool use - find the best path. That shift demands executive AI literacy, psychological safety, and risk-aware decision making so teams can experiment within clear guardrails. From there, we redesign structure with a hub-and-spoke AI Centre of Excellence: the hub builds shared capabilities, governance, and skills; the spokes in each business unit customise agents, train users, monitor performance, and return insights to the hub.We then define the three roles every modern enterprise needs. The AI Agent Orchestrator manages the agent workforce and quality. The Prompt Engineer or Interaction Designer shapes agent personas, instructions, and integration into real workflows. The AI Ethics and Compliance Officer safeguards trust across regulation, bias, and brand. We compare hiring and outsourcing strategies, showing why many teams start hybrid—bringing orchestration in-house while contracting interaction design and governance—before scaling permanent capability.Finally, we share a simple change management plan to turn resistance into momentum: communicate the why with concrete benefits, create trusted evangelists who show value in the open, and invest in layered training that sticks hands-on workshops, peer mentoring, microlearning, and targeted coaching. If you’re ready to move beyond pilots and turn AI agents into dependable co- workers, this guide will help you design structure, skills, and culture for sustainable impact. Subscribe, share with a colleague who leads change, and leave a review telling us the first process you’ll hand to an agent.Like some free book chapters?  Then go here How to build an agent - Kieran GilmurrayWant to buy the complete book? Then go to Amazon or  Audible today.Support the showIf 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. 

Episode metadata supplied by the publisher feed · Published Jan 26, 2026

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The biggest AI failures don’t come from weak models or shaky cloud stacks—they come from organisations that don’t change. We unpack a practical, leader-ready playbook for building an agentic organisation where human creativity and AI agents work in a tight loop to deliver measurable outcomes. TLDR / At a Glance: shifting from task management to outcome managementexecutive AI literacy and risk-aware decision makingpsychological safety for human–AI collaborationhub-and-spoke AI centre of excell...

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