Know what to build before you build it.
A short, sharp engagement that tells you where AI pays off in your business, what it will cost, what has to be true first — and what to ignore.
In plain language, here's the thing.
Process audit
We sit with your team and trace how work actually flows — including the spreadsheets and WhatsApp groups nobody documents.
Use-case scoring
Each candidate is scored on volume, cost, risk and feasibility, so the roadmap is ordered by payback rather than novelty.
Data and integration readiness
What data exists, where it lives, what state it's in, and which systems can realistically be connected.
Costed rollout plan
A sequenced plan with effort, cost and expected return per phase — yours to execute with us or anyone else.
Request in. Work done out.
Discovery
Interviews and shadowing across the teams doing the work.
Map and score
Workflows documented, use cases scored on impact and feasibility.
Readiness check
Data quality, systems, integrations and change risk assessed honestly.
Plan handover
A costed, sequenced roadmap plus the one pilot we'd start with.
Board asked for an AI strategy
Turn the mandate into a defensible plan with numbers behind each phase.
Pilots that never scaled
Diagnose why the last attempt stalled and what has to change structurally.
Vendor selection
An independent read on what to build, what to buy and what to skip.