AI readiness and roadmap
What your data, systems and people can actually support, scored against value and effort, with the things worth killing named as clearly as the things worth building.
Advisory and Adoption
Two problems sit at either end of a programme: forty ideas and no criteria, or something built that nobody opens. We work on both, and every engagement ends with something running or a decision formally recorded.
Talk to usForty ideas, no criteria. Or a build nobody uses.
A board asked for an AI strategy. What came back was a long list with no way to rank it, so the programme either stalls or picks whatever the loudest function suggested.
The other version is worse: something got built, it went live, and twelve weeks later the usage graph is flat. Nobody owned adoption, and no one agreed what success looked like before the work started.
What we do.
AI governance and responsible AI
Approval paths, model risk, acceptable use and DPDP alignment, written to be used rather than filed.
AI adoption and change management
Training, internal champions and the measurement that tells you at week 12 whether it stuck.
How it works.
Five steps. Nothing hidden in the middle.
- Inventory what is on the tableEvery idea, from every function, written down in one place in a comparable form.
- Score against criteriaValue, data readiness, effort and risk. The criteria are agreed before the scoring, not after.
- Kill most of themA shortlist you can defend, and a documented reason for everything that was cut.
- Build oneThe one that is worth it goes into production, not into a slide.
- Measure at week 12Active use, against the baseline we took before it launched.
What it does not do.
- It does not end in a deck. Every engagement closes with something running, or a decision formally recorded so it does not get reopened in six months.
- It does not lead our conversation with you. If you want a strategy exercise and nothing built, we are probably not the right firm.
- It does not rubber-stamp a use case because it was already announced.
What we measure.
Use cases assessed and killedThe kill count matters as much as the build count. A roadmap with nothing cut was not a roadmap.
Time from decision to first production deploymentHow long the gap is between agreeing and shipping.
Active use at week 12The number that tells you whether adoption worked.
Cost of what was avoidedWhat the killed use cases would have consumed.
Who buys this
Tell us where the work is.
One conversation, no pressure. We will tell you what we would build, and what we would not.
Talk to us