AI Governance··4 min read
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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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.
Sep 2026
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AI Leadership··4 min read
How to Report AI Progress to a Board
Boards do not need a tour of the technology. They need four numbers and an honest read on risk.
Read essayAI Strategy··4 min read
Why AI Pilots Stall Before They Reach Production
The pilot worked. It is still not in production eight months later. There are five usual reasons, and four are decided before the pilot begins.
Read essayFractional Leadership··4 min read
How to Hire a Fractional Executive Without Regretting It
The engagements that fail were almost always scoped by hours instead of decisions. Here is how to structure one that works.
Read essayAI Governance··4 min read
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.
Read essayAI Strategy··4 min read
Nine AI Vendor Red Flags Worth Walking Away From
Some warning signs are worth a question. These nine are worth ending the conversation.
Read essayAI Strategy··4 min read
Data Readiness for AI: What Actually Has to Be True
Most companies are told they need a data platform before they can use AI. For most use cases, four narrower conditions matter far more.
Read essayAI Leadership··4 min read
A Chief AI Officer's First 90 Days, Done Properly
The first quarter decides whether the seat earns its place. Here is the sequence that works, and the launch that wastes it.
Read essayFractional Leadership··4 min read
Fractional CFO vs Fractional CAIO: Which Seat First?
Both are part-time executives on a retainer. They answer completely different questions, and the order you hire them in is usually obvious once you see it.
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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.