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Know AI matters, but not what to build?

A short, structured engagement that finds the two or three AI use cases in your business worth funding — sized, sequenced and costed before you commit engineering budget.

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2–3 funded use cases out of a typical discovery
THE PROBLEM

Most AI programs stall in one of two places: a board mandate with no shortlist, or a pilot that impressed everyone and shipped to nobody. Both come from starting with the technology rather than with the work. The question is not what AI can do — it is which of your specific processes has enough volume, enough repetition and little enough judgement to be worth automating first.

WHAT YOU GET
Process inventory
Use-case scoring model
Feasibility & data assessment
Prioritized roadmap
Build estimates
Executive readout

How we run it

01

Map the work, not the tooling

We sit with the teams doing the repetitive work and document what actually happens, including the spreadsheet nobody mentions.

02

Size each candidate

Hours per week, error rate, delay and headcount exposure — so opportunities can be ranked by money rather than by enthusiasm.

03

Test feasibility honestly

Data availability, integration surface and accuracy tolerance. We will tell you which ideas are not ready.

04

Sequence and cost it

A roadmap with the fastest-payback build first, each item costed, so you can fund one thing and prove it before funding five.

PROOF
See this work in a client case study
Read the case study →
RELATED SERVICES
Custom AI Applications Intelligent Workflow & Process Automation AI Agents & Copilots
NEXT STEP

Tell us what is manual today

Ready to take the first step towards unlocking opportunities and realising goals? Tell us the outcome you need and we will bring the marketing, data and engineering capability to deliver it.

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