From the team
Line of Sight.
What the data says about AI adoption, and what to do about it.
Playbook
How to Cap AI Spend Without Stopping the Usage You Want
Pull AI spend by day and by person, find the power users, set two caps, and make every request for more tokens name the task and the business result.
Essay
AI Adoption Needs an Owner Armed with Data
We've talked to 100+ companies about internal AI adoption. What moves a company is less about how skilled its people are with AI and more about who owns it.
Playbook
How to Run AI Adoption When You Don't Have the Usage Data
It's normal that you got the AI hot potato and no data with it. How to get the usage data from the tool owner, and the five metrics to chart from day one.
Playbook
How to Put AI Usage in the Revenue Reports You Already Run
Identify the AI usage that should move a KPI, then cut the pipeline report your CEO already reads by AI-touched deals versus the rest. Five steps, one-page spec.
Build notes
Acceptance Mix: How to Tell If a Shared AI Skill Is Working
One number, sorted out of your team's own AI usage data, tells you whether a shared prompt is working. The math, and how to run it on one skill this week.
Playbook
How to Get AI Budget: The Pitch That Works on a CFO
The asks that get funded lead with a number and with what you can already see. Here's the six-part pitch, and where each part usually breaks.
Playbook
Your First 90 Days as AI Owner: What to Do, and When
A census, a baseline, a funded plan, and one repeatable win. The 90-day sequence we see work, with the checklist to run it.
Build notes
Yes, You Can (Sorta) Build an AI Usage Dashboard in a Week
How to build a v1 AI usage dashboard in about a week, what it will actually tell you, and the nine things you end up needing in v2.
Research
A Lot of Calls Later: The AI Maturity Matrix
We asked dozens of companies who owns AI adoption. Ownership, not individual skill, turned out to be what moves them. The research behind the five levels.