Three ways to work together
Executive advisory
For leaders making consequential choices about AI, adoption, capability, work design, and organizational direction.
Outcome.Clearer interpretation, better decisions, and a rehearsal plan for what comes next.
What this is for
Most AI decisions arriving on an executive's desk are framed as tooling questions. Which platform, which licence count, which team goes first. Those are real questions, and they are almost never the decision that matters.
The decision that matters is what the work is actually about—and therefore what should change, what should not, and what you would need to see to believe it is working. Advisory work is where that gets settled before budget follows it.
A beautiful answer to a question nobody asked.
How it runs
Advisory engagements are shaped around your calendar rather than a fixed curriculum. In practice they tend to involve:
- Interpretation. Working through the choice in front of you and naming what it is really a choice between.
- Direction. Getting the leadership team into the same play, in language the rest of the organization can act on.
- Experiment design. Turning the direction into a small number of bounded attempts with a stated cost, a stated duration, and an agreed way to read the result.
- Interpretation again. Reading what actually happened, including the parts that contradict the plan.
The output is not a deck of recommendations. It is a set of decisions you can defend and a rehearsal plan for the ones you cannot make yet.
What we will tell you
If the evidence does not support a move, we will say so. Our published research exists partly to hold ourselves to that standard: it states its own limitations in the body of the work, and it says plainly where a result does not establish cause.