Writing
Essays on AI leadership, private and secure AI, and where the ROI actually is — written from delivery work, not from the sidelines.
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What a 90-day AI roadmap looks like for a professional services firm
The actual plan an AI Executive Assessment produces — days 0–14, 15–45, and 46–90 — including what I deliberately leave out.
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How to build an AI opportunity backlog
The scoring method I use to turn a wall of AI ideas into three to five workflows worth building — and a public list of everything I killed.
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Why internal knowledge assistants fail on messy company data
The model is almost never the problem. After three years shipping retrieval systems, these are the corpus failures that kill knowledge assistants.
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The CEO's guide to AI governance without bureaucracy
At 50–500 people, AI governance is a handful of owned decisions, not a committee. Done right, it speeds adoption instead of slowing it.
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When private AI makes sense — and when it doesn't
Private AI is an architecture decision, not an ideology. The honest criteria I use to tell clients when to build it — and when to skip it.
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Why AI adoption is an operating model, not a tool rollout
Most AI pilots stall because no one owns the decisions behind them: data rules, approved tools, workflow priority, and how ROI gets measured.