By role
Clairet for executives.
Align AI spending with outcomes that are owned, measured, and visible. Make decisions based on data, not anecdotes.
- Initiatives
- Roadmap
- Outcomes
Sound familiar?
Everyone says AI is working. Nobody can show it.
- You approved the budget. You cannot say what it returned.
- Every pilot is declared a success. None of them had a baseline.
- Developers feel faster. The defect rate says otherwise.
- You saved time. But blew the budget on tokens.
How it works
Measure before, during and after.
1. Baseline
Capture where you are before the work starts. Without it there is no return to prove.
2. Commit
Every proposal names its owner and the metrics it will be judged by, before funding.
3. Measure
Track the metrics the owner committed to, alongside readiness, as the work runs.
4. Decide
Scale what works. Fix what does not. Stop what never will. On evidence, not sentiment.
What changes
What changes with Clairet
Today: You've approved AI budgets and can't say what they returned.
With Clairet: Direction
Publish priorities and let teams propose against them.
Today: Every function has its own AI experiment and no one owns the strategy.
With Clairet: Evidence
Every initiative carries a baseline and metrics from day one.
Today: AI is on the risk register and you don't have a confident answer.
With Clairet: Visibility
One inventory of everything in flight, with owners.
Common questions
Questions, answered.
- Does this replace our AI strategy consultants?
- No. Advisors can still help set the roadmap. Clairet is the infrastructure to follow it and the measurement to know whether it is working.
Ready to bring order to your AI strategy?
Talk to the Clairet team. We will show you what structure looks like in practice.
Request a Demo