Stakeholder interviews
Structured conversations across operations, finance, technology and the front line. We ask what the work costs in hours and errors, who owns it, and what has already been tried and quietly abandoned.
Phase 01, Diagnose
We sit with the people doing the work, audit the data behind it and map where AI removes cost or unlocks capacity.
Typical duration
1 to 2 weeks
output: three costed use cases, ranked by return and effort
- 1 to 2 wks
- From kick off to decision
- 3 costed
- Use cases ranked by return
- Named
- Owner for every next step
Phase 01
Nothing gets recommended without a number attached.
Diagnosis is where a programme is won or lost. We spend the time with the people who run the process today, not only with leadership, and we look at the systems and data behind the work rather than the slide deck describing it.
Every candidate comes out costed. Where the evidence is too thin to decide, we say so and tell you what it would take to find out, rather than filling the gap with optimism.
What happens
The work inside this phase.
Three workstreams, run in parallel, each with a fixed deliverable you can review.
Data readiness audit
A review of the systems, records and documents each candidate depends on: whether the data exists, how current it is, who owns it, and what it would take to make it usable for a model.
Prioritised opportunity map
Every candidate use case gets a cost, an expected return and a confidence level, then a ranking. The map names what to do first, what depends on what, and what to park.
The method
The other phases.
Next step
Start with phase 01.
A 30 minute call on diagnose, what it would take in your business, and whether the phase after it is worth funding.