AI Strategy··4 min read
Open Source vs Proprietary AI: What Actually Differs
The label is doing a lot of work it has not earned. Underneath it are two real decisions, and only one of them is about licensing.
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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 Strategy Articles
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AI Strategy··4 min read
How to Run an AI Opportunity Assessment in Two Weeks
Most opportunity assessments produce a list of things AI could theoretically do. That list is worthless. Here is what to produce instead.
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RAG, Explained for Executives Who Have to Fund It
RAG is the answer to 'can it use our documents?'. It is also where most internal AI projects quietly stall.
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Map What Your Company Can Actually Do With AI
Before another roadmap, spend an afternoon working out which parts of the business could realistically absorb AI at all.
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AI Vendor Lock-In Is a Purchase-Time Decision
Lock-in feels like a renewal problem. It is created on the day you sign, and it is cheap to prevent then.
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The Change Management Part Everyone Skips
The tool works. The rollout still fails. Almost always for the same four reasons, none of them technical.
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Your AI Strategy Should Fit on One Page
A forty-slide AI strategy is a document nobody acts on. Six statements on one page changes what happens next quarter.
Read essayAI Strategy··3 min read
Getting an AI Pilot Into Production
The pilot worked. That was the easy part. Here is everything still missing before it can run unattended.
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.
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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.