Executive Guides for AI
For directors and above. Opinionated. Updated.
The Executive's Mental Model for AI
A clear AI operating model: five decisions for assessing vendor pitches, board questions, budgets, roles, and risk.
Recognizing Leverage
Find AI leverage in your organization by tracing unusually productive people, consumption patterns, and workflow signals.
How to Audit AI Spend, Including Coding Tools
How to audit AI spend, from chat seats to AI coding tools: find every billing source, sort usage and consumption, and build the report your CFO will accept.
How to Choose AI Tools for Your Team
How to choose AI tools for your team: ask your heaviest users which two they would keep, give each role the tool that fits its work, then standardize.
The One-Page AI Policy That Ships in Two Weeks
Most AI policies stall in committee while the workforce picks its own tools. One page. Approved tools, off-limits data, clear ownership. Done in two weeks.
Driving Adoption
Why AI seats sit idle: disposition, workflow fit, and manager signals determine adoption more than broad training programs.
Selecting Talent
How to hire AI talent and spot workflow designers on your team. Interview questions and assessments that reveal disposition, judgment, and leverage.
Measuring Returns
Measure AI returns by team consumption, visible work change, and operating decisions instead of a vendor ROI multiplier.
Managing Risk
The five AI failure modes that actually hit enterprises, the dull controls that catch them, and which AI rules genuinely bind you in August 2026.