Discovery: from a broad AI ambition to a first built solution

The organisation knew it had to do something with AI, but had no idea where or how. Not which processes lend themselves to it, not which department holds the greatest value, not where to start. The question: help us make concrete where AI can be used in our organisation, department by department, and in which order.

A workshop with participants from sales, implementation, support, QA and development, so every department put its own work on the table. Per team we went through the tasks and bottlenecks and translated them into concrete applications, then scored them on business value, feasibility, data availability and time to impact. The strongest was selected, worked out with scope, approach and lead time, and built. A deliberate choice: first a solution that makes knowledge searchable, to learn and build trust; the next ones are prioritised and ready.

From "we have to do something with AI" to a validated backlog: the organisation now knows per department where AI can be used, what is feasible and where to start, and the teams made that choice themselves. The first solution has been worked out and built; the next ones are prioritised and ready.