What should we do first?
Risk-Tiered AI Adoption
Sequence AI by risk, not by one ROI gate: start inside, build the muscle, then go customer-facing.
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Frameworks
How I think
The methods I use to get AI into production: what to do first, where it fits in the work, how far to trust it, and who holds the judgment.
The philosophy
AI Should Be Boring
AI earns its keep in the boring part: in production, measured, and trusted exactly as far as it’s reliable.
The methods
The philosophy: AI should be boring. Four methods put it to work at four altitudes: the portfolio, the workflow, the single decision, and the person making it.
Where does AI fit in the work?
Fix First, AI Last
Map the work before you buy the tool: most stuck points need a process fix or a simple rule, not AI.
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How far should we trust it?
Calibrated Trust
Fluency isn’t truth. Use AI where checking is cheaper than doing, and trust it exactly as far as it has earned.
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Who holds the judgment?
Keep It Human
Hand AI the hauling, not the judgment. Let it do the work and sharpen your thinking, but keep the final call yours.
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I re-read every framework at least every 6 months. When one is overdue, its stamp turns amber.