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Field notes

Writing about AI governance by people who have to implement it.

No maturity curves, no vendor scorecards. Each piece takes one hard question in AI governance, risk or assurance and answers it in a way you can act on this quarter.

Latest

Governance practice9 min read

What can your AI system evidence today?

Most governance tooling asks whether you are compliant with a framework and answers with a number. That question cannot be audited. Here is the one that can, the nine-link chain behind it, and what it costs to answer honestly on day one.

Read the piece ENGARP AI Engineering
  1. Registered
  2. Risk assessed
  3. Controls scoped
  4. Controls effective
  5. Evidence attached
  6. Independently tested
  7. Findings resolved
  8. Approved
  9. Release gate

One broken link fails the gate, whatever the links after it say.

All pieces

9 pieces

Governance practice

Why we will never show you a compliance score

A percentage is a weighted average of things that are not commensurable. Mapped, covered, partially covered, evidence pending and not assessed are the only honest states.

6 min read Read
Product

The copilot drafts. It never decides.

Where a model genuinely helps in a governance workflow, where it must be refused in code, and why the product works with no model configured at all.

5 min read Read

Bring the chain to your portfolio.

Ninety minutes with an engineer, against one of your real AI systems. No drip sequence afterwards.

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