In the roomHalf-day working sessions with the leaders who run execution.

Mike leads them personally. No canned agenda: each session is built from what your team said in the last one. And expect lots of practice. This isn’t sit-and-watch. You’ll apply and stress-test your own work and each other’s, out loud, until it holds. The trick is moving from what you want to say to what others need to hear.
Before session one, we get to know the business the way you’d want a new senior hire to: with our own eyes and with our AI. You send what already exists: the strategy and business plan, the decks, the market research and consulting reports, the product and service line-up, and the list of projects under way, AI projects included. We read all of it, run it and your competitors through AI with our own questions, and read up on everyone who’ll be in the room. Where the paper can’t tell us what the company believes, we go and look: a sales call, a ride in a truck, a shift in the warehouse, a conversation or two with people the org chart doesn’t rank. The AI projects get one extra pass, because overlapping projects are the easiest sign of a misaligned team to spot, and they come into the sessions with us: some get combined, some re-timed, something missing gets added. The point isn’t to collect everything. It’s that the questions, contradictions, and opportunities surface in the meeting, not after it.
In the room, a sketch artist draws what people describe, live, so ten private versions of the idea become one shared picture, and fixing a disagreement means a redraw, not a rebuild. Every session starts by re-reading what’s already decided, out loud; saying it again is how it sticks. Between sessions, everything said gets filed where it will be used, and the next session is designed against what happened. You can watch all of this inside a real engagement on the Approach page.
One rule is in the contract: you attend every session. We learned that the hard way, and a direction rarely survives a decision-maker who wasn’t there for its making.
When the direction is ready, there’s an option most teams take: a safe place to find out how your lines land before you go public with them, first with the people inclined to like the idea, then with the people who will find every soft spot (we call them the Friendlies and the Skeptics). The words hold up outside before anyone’s reputation rides on them.
Led by Mike Wittenstein. We’ve been doing this for 30 years, for companies with $20 million to $2 billion in annual revenue. The AI reading is the newest part of the work; the rest goes back 30 years.