Season 6 - Episode 8 - "When Governance Stopped Being a Document and Became a System" with Natalie Hogan

I sit down with Natalie Hogan who shares how her organisation moved governance off the page and into daily practice by using AI to rebuild it. Static policies became a living, chunked knowledge base that both people and AI agents could read, query and act on, closing the long-standing gap between governance written down and governance actually followed.Key points:Traditional governance was static, siloed and hard to embed; AI governance needed its own rule book from scratchPolicy as code: breaking frameworks into knowledge chunks that both humans and AI can read and updateEnterprise wide model governance, an agent governance framework and an AI risk management framework were introduced to cover the gapAgents are now treated as part of a "silicon workforce," each with an owner, access level and place in a registerEarly approach built siloed agents for each governance function before the team realised they needed one connected knowledge base insteadAdvice for teams starting out: take a risk based approach, don't wait for every foundation to be perfect, and keep humans in the loop throughoutTakeaway: Governance only works once it's embedded in the flow of daily work rather than sitting in a document. This team's shift was to stop treating it as a series of automations and start treating it as one connected system that AI could help run. Tune to learn how!