A shared vocabulary for AI
Every leader on the team evaluating AI on the same axes — capabilities, limitations, and the risks that actually matter. No more circular meetings.
Two sessions, structured homework, hands-on work. Your team walks out with a shared vocabulary, a prioritized list of AI opportunities specific to your business, and a plan you can execute next week.
Most AI projects don't fail in engineering — they fail because the people sponsoring them disagree on what AI is, what it can do, and how to measure it. We fix that in two sessions.
Six concrete things on day one. Nothing abstract, nothing fluffy.
Every leader on the team evaluating AI on the same axes — capabilities, limitations, and the risks that actually matter. No more circular meetings.
A clear picture of where AI is being used today — in tools, by employees, in workflows — and the real risk that's already on your books.
Surfaced by your leadership during structured homework, then pressure-tested with our practitioners. Not generic frameworks. Your business.
We work through each opportunity together — feasibility, ROI, what kind of solution actually fits. Your team learns the framework, not just the answer.
Which AI tools to deploy to your team, how to roll out adoption, and the path to identifying what can be fully automated. Concrete, dated, owned.
You leave knowing exactly which opportunities are solved by better adoption of existing tools — and which actually require something custom built.
Two sessions, two weeks apart. Homework in between. No death-by-deck.
Each exec receives a short briefing pack and a structured homework prompt — three opportunities they think AI could affect in the business, with quick framing. Takes about 45 minutes.
We build the shared mental model live — what AI actually is, what it can and can't do today, and the framework we use to evaluate opportunities. Then we map your shadow AI exposure together.
We pressure-test the opportunity list each exec brought to homework, work through your top candidates using our evaluation process, and produce a prioritized action plan.
You leave session 2 with the plan in hand. Which AI tools to roll out, how to drive adoption, what to evaluate next quarter, and which opportunities are candidates for a deeper Blueprint engagement.
A natural starting point. Most teams who run the workshop graduate into a Blueprint within a quarter.
Two sessions. Your team walks out aligned, with an action plan.
A 2–6 week audit + plan that makes the right build obvious.
A production-ready AI system that lives inside your stack.
A dedicated team shipping projects and paid on outcomes.
Book a 30-minute conversation. We'll map the highest-leverage workflows in your business and tell you whether AI is the right answer.