AI Strategy and Readiness
Where to invest, on which data and with which vendor, before you spend the first euro.
The problem with most AI initiatives is not the technology. It is that they start from a vendor demo instead of a costed problem, on data that lives in three systems with no common layer. The result is pilots that never reach production.
Here we work backwards: first the processes that cost time and errors, then the data that feeds them, and only then the technology. With 20+ years of ERP, CRM and cloud delivery behind us, we know what "in production" means and what hides behind a slide deck.
What it includes
Data & AI Readiness Diagnostic
Assessment of data, systems, skills and organisational maturity. Which use cases are feasible now, which need groundwork and which are not worth it.
AI Roadmap & Business Case
Prioritised use cases with estimated benefit, cost and risk over a 12 to 24 month horizon. Written for board or investment committee approval.
Data Architecture & Vendor Selection
Design of a unified data layer, technical specifications, market research, proposal evaluation. Vendor-independent: we do not resell software.
Delivery Oversight
Once a solution is chosen, we stay at your side as the technical advisor facing the vendor: deliverable review, data quality, security, go-live.
What stays with you
A list of use cases with numbers next to them, a decision on which goes first, and specifications you can hand to three vendors and compare the answers.
Let us find out where you stand.
A 30-minute conversation on where your organisation stands against the EU AI Act and what is worth doing first. You leave with a clear picture, not a sales pitch.