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ai-governance

Every post tagged ai-governance.

ai-ownership18 min read

A fractional AI office without a new department

Create clear AI ownership with a named owner, decision rights, and a cadence that fits the company you already have.

Editorial Team · Sep 2, 2026

ai-governance17 min read

When the AI backlog belongs in Product, Operations, or IT

Put an AI backlog item with the function that can fund the outcome, change the workflow, and own the work after launch.

Editorial Team · Sep 2, 2026

fractional-ai-officer17 min read

How many AI projects can one part-time leader run?

One accountable AI leader can usually protect one active delivery stream and one bounded discovery stream inside a 32-hour monthly operating case. Anything more needs an explicit tradeoff.

Editorial Team · Sep 1, 2026

ai-procurement20 min read

The build, buy, or kill decision tree for AI requests

A request gets a tool only after someone writes down the workflow, owner, data, baseline, risk, and exit path.

Editorial Team · Sep 1, 2026

ai-portfolio17 min read

Turn fifty AI ideas into a twelve-month delivery sequence

A ranked backlog still leaves the delivery order undecided. Use evidence, scoring, dependencies, and capacity to turn fifty ideas into twelve months of decisions.

Editorial Team · Sep 1, 2026

ai-governance17 min read

The AI intake form that blocks pet projects

If a proposed AI use case cannot name the problem, owner, workflow, data, evidence threshold, risk, and next decision, it is not ready for your roadmap. It is ready for more homework.

Lucas Brown, Noah Davis, and Jason Lee · Aug 29, 2026

ai-leadership14 min read

A weighted AI use-case score before the buy

Score the workflow before the demo: value, feasibility, risk, and time to evidence, with hard stops and bands for test, defer, or reject.

Noah Davis, Sophie Adams, and Lucas Brown · Aug 29, 2026