AI Leadership··3 min read
Chief AI Officer vs Head of AI: Which Title Fits?
One owns the portfolio and answers to the CEO. The other owns delivery inside a function. Getting this wrong is expensive.
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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.
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Showing 19–27 of 64 essays
AI Strategy··3 min read
AI Adoption Metrics That Aren't Vanity
Ninety percent of staff logged in. That number is worthless. Here are four that aren't.
Read essayFractional Leadership··3 min read
Fractional vs Interim Executive: Not the Same Hire
One is a permanent part-time seat. The other is a full-time bridge. Hiring the wrong one wastes a quarter.
Read essayAI Governance··3 min read
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.
Read essayAI Strategy··3 min read
The AI Costs Nobody Puts in the Business Case
The licence fee is the number everyone quotes and the smallest one that matters. Here are the seven lines that decide whether it pays.
Read essayAI Leadership··3 min read
How to Become a Chief AI Officer (Without a PhD)
Almost nobody in this role arrived from AI research. Here are the four routes people actually take, and what gets tested on the way.
Read essayAI 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.
Read essayAI 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.
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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.