Fixed scope. Fixed timeline.
Find out where AI actually pays off in your company
In two to three weeks we assess your data, systems, and processes, then hand you a prioritised AI roadmap with business cases you can defend in front of your board. No obligation to build anything with us afterwards.
Trusted by 40+ businesses
The package
One package. Everything included.
You know the scope and the timeline before we start. The audit ends with a decision-ready roadmap, whether you build with us or with someone else.
AI Readiness Audit
- AI readiness scorecard covering data, infrastructure, team, and processes
- A backlog of AI use cases ranked by business value and feasibility
- Business cases for the top three use cases, with cost and effort estimates
- Data and integration gap analysis with a remediation plan
- An executive readout session with your leadership team
If you decide to build one of the roadmap use cases with us within three months, we credit the audit fee against that project.
What we examine
Two to three weeks of focused work with your team. We look at what you have, not at what a vendor wants to sell you.
Your data, as it really is
Where it lives, who owns it, how clean it is, and what it takes to make it usable for AI. This is where most AI projects quietly die, so we start here.
Systems and integrations
Which of your systems can feed or consume AI today, which need an API layer first, and where the legacy landmines are.
Processes and where the cost hides
Interviews and log analysis to find the workflows where volume, manual effort, and exceptions concentrate. These are the candidates with real ROI.
Team and governance
Who will own AI internally, what skills are missing, and what EU AI Act and data protection obligations apply to your use cases.
Cost of doing nothing
For each candidate use case we estimate what the current manual process costs you per year, so the roadmap compares against reality, not against zero.
Quick wins vs. structural work
What you can ship in weeks with current data, and what needs foundation work first. Both belong on the roadmap, clearly separated.
Week by week
A fixed sequence, so you know exactly what happens and when.
- 01
Discover
Workshops with leadership, ops, and engineering. We map your processes, collect system documentation, and get read access where useful. Week one.
- 02
Analyse
We assess data quality, integration effort, and feasibility, and score every candidate use case for value and risk. Week two.
- 03
Deliver
You get the scorecard, the ranked backlog, three worked business cases, and an executive readout where we defend our recommendations and answer hard questions. End of week two or three, depending on scope.
What you can decide when it's done
Book the auditWhich use case to fund first
Backed by numbers, not enthusiasm. You see value, effort, and risk side by side for every candidate.
What your data actually needs
A concrete remediation plan instead of a vague sense that the data is not ready.
Build, buy, or wait
For each use case: whether an off-the-shelf tool covers it, whether custom work is justified, or whether the honest answer is not yet.
A budget you can defend
Cost and effort estimates grounded in your systems and your data, ready for a board conversation.
Work behind the method
The audit applies the same evaluation we use when we build AI systems ourselves.
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Let's Talk About Your Project
Not sure where to start? Begin with the AI Readiness Audit