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Index/AI & Data/The Digital Transformation Playbook
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The Governance Problem: How AI Scales Without Losing Control

The Digital Transformation Playbook · 2026-08-05 · 16 min

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Topics in this episode

aileadership#AgenticAIAIStrategyResponsibleAIAIGovernance

Episode notes

AI governance becomes critical when experimentation turns into operational scale. This episode examines how organisations can grow AI use while maintaining control, trust, and momentum. It explores governance as execution infrastructure. TLDR / At a Glance • AI scale and operating control • Weak governance risks and rollback • Excessive approval friction • Trust as a deployment constraint • Runtime monitoring and escalation • Risk tiering, ownership, and review Effective AI governance gives leaders enough clarity, accountability, and confidence to move into higher value use cases safely. 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).

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • Governance Is Functions: Why Your AI Won't Scale Without Discipline by DesignDisambiguation · on AIGovernance87 / 100
  • From Demo to Production- Building Enterprise AI Agents That Actually Work with Microsoft Copilot Studio with Elliot Margot [MVP]M365.FM · on #AgenticAI

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