Erin Moore — Fractional Chief AI Officer
    Vol. VII — Writing
    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.

    Tagged: AI Implementation
    Clear filters

    Showing 1–4 of 4 essays

    How to Evaluate AI Vendors Without Getting Burned
    AI Strategy··6 min read

    How to Evaluate AI Vendors Without Getting Burned

    Most AI tools demo beautifully and break in production. After evaluating vendors across 100+ implementations, here's the framework I use — including the five questions that end most sales conversations early.

    Read essay
    How to Measure AI ROI (Without Fooling Yourself)
    AI Strategy··5 min read

    How to Measure AI ROI (Without Fooling Yourself)

    Most companies spending money on AI can't say whether it paid off — and the ones who claim it did are often counting vanity metrics. Here's an honest framework for measuring AI ROI, including the traps that make bad investments look good.

    Read essay
    The AI Readiness Assessment: Is Your Business Ready?
    AI Strategy··5 min read

    The AI Readiness Assessment: Is Your Business Ready?

    Most companies buy AI tools before they're ready to use them — which is why the tools become shelfware. Here's an honest readiness assessment across five dimensions, including the signs you should fix something else first.

    Read essay
    How to Build an AI Roadmap (That Doesn't Sit in a Drawer)
    AI Strategy··4 min read

    How to Build an AI Roadmap (That Doesn't Sit in a Drawer)

    Most AI roadmaps are 40-slide decks that impress once and then gather dust. A real roadmap is short, sequenced by return, and actually drives what you do next. Here's how to build one that gets used.

    Read essay
    FAQ

    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.