AI Governance··3 min read
The AI Vendor Security Questions Worth Asking
Most security questionnaires are long and answer nothing. Twelve questions get you further, if you read the replies properly.
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The JournalEssays & Field Notes
Practical writing on AI in the wild.
Field notes from real engagements. Frameworks, postmortems, and the unglamorous discipline of shipping AI in production.
AI Governance Articles
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AI Governance··3 min read
Why Your Team Hides How Much AI They Use
They are not being reckless. They are responding rationally to how your company treats the answer.
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What to Do When Your AI Gets It Badly Wrong
Every AI system will produce a bad output eventually. The difference between an incident and a crisis is whether anyone decided in advance.
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The One-Page AI Risk Register Worth Keeping
Enterprise risk registers are theatre for a 60-person company. Here is the version that actually gets used.
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Writing an AI Acceptable Use Policy People Will Follow
Most AI policies are copied from enterprise templates, filed, and ignored. A page that staff actually read prevents more incidents.
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Who Should Own AI Governance in a Growing Company?
IT, legal and security all have a claim. Giving it to any of them produces a predictable failure, and so does giving it to all three.
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How to Find the Shadow AI Already in Your Company
Your staff are already using AI you did not approve. Here are four ways to find out what, without turning it into an investigation.
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Do You Need an AI Governance Committee? Probably Not Yet
Most AI governance committees are formed to look responsible and end up slowing decisions without reducing risk. Here is what to do instead.
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Common questions
- What does this blog cover?
- AI strategy and leadership decisions for growing businesses: what a Chief AI Officer actually does, how to evaluate vendors, how to measure return, and why most AI projects fail. It is written for people deciding what to fund, not for people building models.
- How often is it updated?
- New pieces publish regularly, and existing ones are revised when the underlying facts change — pricing, market rates and vendor landscapes move quickly enough that stale posts become misleading rather than merely dated.
- Who writes it?
- Erin Moore, a fractional Chief AI Officer and U.S. Army veteran with an Executive MBA, an MS in Data Science and a Lean Six Sigma Black Belt. Everything is written from the buyer's side of the table, which is where the work happens.
- Where should I start?
- If you are new to the topic, start with what a fractional Chief AI Officer does and why most AI projects fail. If you are already spending on AI, the posts on AI audits and measuring ROI will be more immediately useful.