Where AI will pay for itself in your business, and where it won't.
What this actually involves
Most AI strategies are a list of use cases with no view of data readiness, unit economics or change management. That is how pilots become permanent.
We assess your data, processes and risk appetite, then rank candidate use cases by expected value against real implementation cost — including the ones we recommend you drop.
Use-case discovery
Workshops with the people doing the work, not just the people describing it.
Data readiness audit
Whether the data required actually exists, at quality, accessibly.
Value and cost modelling
Expected benefit against build, run and change-management cost.
Regulatory positioning
EU AI Act classification and the obligations that follow.
What lands in your repository
Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.
- Ranked use-case portfolio
- Data readiness findings
- 12-month sequenced roadmap
- Regulatory classification and obligations
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.