AI Leadership··3 min read
Where AI Should Sit in Your Org Chart
Three structures, each with a predictable failure mode. The right one depends less on strategy than on how many people you have.
Read essayVol. VII — WritingSubscribe via RSS
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.
Latest Articles
Showing 10–18 of 64 essays
Fractional Leadership··3 min read
What Is a Fractional COO, and When Do You Need One?
The symptom is usually the same: the founder is the operating system, and the company cannot grow past their attention.
Read essayAI 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.
Read essayAI Strategy··3 min read
Six Clauses to Negotiate in Any AI Contract
The price is the least negotiable thing in an AI contract, and the least important. Here are the six that matter.
Read essayAI Strategy··3 min read
How to Budget for AI When You Can't Predict Usage
Usage-based pricing makes AI budgets guesswork. Here is a structure that survives the guessing.
Read essayAI Leadership··3 min read
Hiring Your First AI Leader: What to Look For
The candidate who impresses in the interview is often the wrong one. Here is what actually predicts success in the first AI seat.
Read essayAI Governance··3 min read
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.
Read essayAI Strategy··3 min read
AI Data Quality: How Clean Is Clean Enough?
Perfect data is not the standard, and waiting for it is how companies spend a year preparing and ship nothing.
Read essayAI Strategy··3 min read
How to Kill an AI Project Without Killing the Programme
Every AI portfolio needs a way to end things. Most companies have no mechanism, so nothing ever stops and everything accumulates.
Read essayFAQ
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.