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 Automation
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    Showing 1–5 of 5 essays

    AI for Operations: Automating the Back Office
    AI Strategy··5 min read

    AI for Operations: Automating the Back Office

    The back office isn't glamorous, which is exactly why it's where AI pays back fastest. Repetitive, high-volume, rule-based operational work is AI's sweet spot. Here's where to apply it, what to automate first, and what to leave to people.

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    AI for Professional Services Firms: A Practical Guide
    AI Strategy··4 min read

    AI for Professional Services Firms: A Practical Guide

    Professional services firms sell expertise and time — which makes AI both a huge opportunity and a genuine risk. Here's where AI creates real leverage for consultancies, agencies, and firms, and where it quietly undermines the trust you sell.

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    AI for Small Business: Where to Actually Start
    AI Strategy··5 min read

    AI for Small Business: Where to Actually Start

    "Use AI" is advice, not a plan. For a small business with limited time and budget, where you start determines whether AI pays off or becomes another abandoned subscription. Here's where to actually begin.

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    Why 85% of AI Projects Fail (And How to Beat the Odds)
    ·10 min read

    Why 85% of AI Projects Fail (And How to Beat the Odds)

    Industry reports show 85% of AI projects never make it to production. After leading 100+ successful implementations, I've identified the three critical failures—and exactly how to prevent them.

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    The Complete Guide to AI Automation for Business Leaders
    ·10 min read

    The Complete Guide to AI Automation for Business Leaders

    Most AI projects fail because they lack doctrine. This comprehensive guide reveals the military-grade frameworks I use to deliver automation ROI in 90 days—the same approach that's saved clients $10M+.

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    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.