AI Readiness Assessment
Most AI programmes stall because nobody established what the organisation could actually absorb. The assessment establishes it — where the data is, which workflows are ready, what has to change first, and what should wait.
Workflow-level, not survey-level
We sit with the teams doing the work and map the actual steps, handoffs and exceptions — not a questionnaire circulated by email.
Data and tooling reality check
What exists, where it lives, what condition it is in, and what would have to be true before a model could use it.
A ranked roadmap
Candidate use cases ordered by return and by readiness, with the constraints and dependencies stated for each. Including the ones we recommend against.
Governance built in
Acceptable-use policy, human review checkpoints, audit trails and vendor diligence — scoped to what your sector actually requires.
Scope an assessment
Tell us the size of the organisation, the functions in scope and whether you have a deadline driving this.