AI & Data · AI Readiness Audit
Find out if your organisation is actually ready for AI — before you spend on it.
A structured audit of your data, infrastructure, team, and processes. You get a written report with a prioritized roadmap: what's ready, what's blocking, and what to do first. Not a slide deck with buzzwords — a working plan.
What the audit covers
Five dimensions — data, infrastructure, team, process, and use-cases.
- 01Data landscape: what data you have, where it lives, how clean it is, who owns it.
- 02Infrastructure: is your stack ready for ML workloads, or does the plumbing need work first?
- 03Team & skills: do you have the people to build and maintain AI systems?
- 04Process & governance: who decides what gets built, how do models get monitored?
- 05Use-case prioritization: which AI use cases have the best ratio of impact to difficulty? We rank them.
What you get
- 01Written audit report with findings per dimension and a prioritized 90-day action plan.
- 02Use-case shortlist: top 3 AI opportunities ranked by ROI and feasibility.
- 03Build / buy / wait decision for each use case — not a hedge, an actual recommendation.
Terms
EngagementFixed fee — scoped after a short brief
Turnaround2–3 weeks from kickoff
LocationRemote; EU on-site kickoff available
FAQ
Common questions.
Is this just a consulting report that sits on a shelf?
The deliverable is a prioritized action plan, not a strategy deck. Most clients move straight into a scoping sprint for the top-priority use case.
We already have a data team. Do we still need this?
If your data team has tried AI and it hasn't stuck, the blockers are usually organizational, not technical. The audit finds them.
Can this lead into a delivery engagement?
Yes — the audit output is designed to scope the next step. Most audits convert to a delivery engagement within a quarter.