Practical AI Governance for Real Organisations
Perspectives on EU AI Act compliance, AI governance, and programme management from 18+ years in regulated environments.
Why the Danish Public Sector Will Fail at AI Governance
Danish public institutions will fail at AI governance not from lack of regulation, but from fragmented decision authority. Power clarity matters more than rules.
Read articleWhen AI Becomes Infrastructure: A Timing Problem for Financial Services
AI has become operational infrastructure in financial systems. Tools fail in isolation. Infrastructure cannot. Governance can't keep pace with deployment speed.
Read articleThe Real Cost of Doing Nothing About AI Governance
The cost of doing nothing about AI governance exceeds the cost of building it by 5-10x. Fines, remediation, lost deals, and talent costs add up fast.
Read articleWhat Pharma Already Knows About AI Act Compliance
The EU AI Act mirrors pharma's compliance model. GxP validation, change control, and human oversight. Pharma managers already know how to run AI governance.
Read article5 Signs Your Organisation Isn't Ready for the EU AI Act
Five clear signs your organisation lacks AI governance foundations. And what to do about each one. Five months until the deadline. You still have time.
Read articleHow to Structure an AI Governance Programme That Actually Delivers
Complex transformations don't succeed on their own. They succeed when structured in phases with clear exit criteria. Here's the four-phase model I use with clients.
Read articleThe Most Important Hire for AI Act Compliance Isn't Who You Think
It's not a lawyer, a data scientist, or a governance specialist. It's a programme manager. Here's why nobody else can hold a cross-functional compliance programme together.
Read articleShadow AI: The Biggest Compliance Risk You Don't Know You Have
Most organisations think they have 3-5 AI systems. The actual number is usually 15-50. Here's where the hidden ones are — and what to do about them.
Read articleHuman Oversight Means More Than a Rubber Stamp
Article 14 requires "human oversight" for high-risk AI systems. Most organisations interpret this as a human reviewing output. That's not oversight — it's observation.
Read articleThe AI Governance Starter Kit: What You Actually Need Before Policies
Most organisations want to "do AI governance." But when asked what that means in practice, the answers miss the mark. Here's the actual starter kit.
Read articleReady to assess your AI governance?
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