AI strategy

No: nothing is coded at this stage. The output is a prioritised list of where to act first. Firms that already know their use case, for example sorting orders that arrive by email, are better off starting with a pilot right away.

Managers of the teams affected, your IT lead, and a board member able to make decisions. It helps if your data protection officer joins one session. When the business side drops out, you end up with an IT paper that ignores how work really gets done.

Programmes such as FEnIKS or KPO periodically cover business digitalisation, and a strategy can help when preparing an application. We do not act as a grant broker, though, and cannot promise funding. The plan is designed to make sense whether or not a grant comes through.

That is still a valuable outcome: you avoid funding something with no return. We prefer to say it is too early and list the groundwork needed, rather than push a project that would never pay for itself.

The tool market moves fast, but processes and data inside a company move much more slowly. We suggest a short review every six months to update costs, new model capabilities and regulatory changes. The priority list itself usually holds up for longer than people expect.