The Digital Transformation Playbook · 2026-05-19 · 12 min
AI agents are moving beyond content generation into enterprise action. As they enter workflows, approvals, systems, and decisions, ownership becomes a strategic governance issue. This episode explores how leaders should define accountability before agent autonomy scales. TLDR / At a Glance • Agentic AI as workflow actor • Limits of traditional ownership models • Four ownership layers • Decision rights and autonomy boundaries • Governance through distributed accountability • Value, risk, and intervention rights The key takeaway is that agentic AI can only scale responsibly when organisations clearly assign ownership for the system, workflow, risk, value, and authority to intervene. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect. Website: Book a call: Kieran Gilmurray | LinkedIn Substack: Amazon 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).
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