What a good AI discovery report looks like
The deliverable at the end of discovery is a document, so here is what a good one contains, section by section, and the questions to ask of a consultancy's sample before you commission one.
The deliverable at the end of discovery is a document, so here is what a good one contains, section by section, and the questions to ask of a consultancy's sample before you commission one.
Run discovery across R&D, manufacturing, procurement, sales and marketing in an industrial business and the same eleven opportunities surface in every function. What they are, which are ready, and where the data gets in the way.
The first half of discovery is about breadth, not judgement: every idea, however small, captured with its pain and its current process. How we run the room so the people who know where the time goes actually say so.
Comparing AI ideas fairly needs one scale. These are the ten elements we score every idea on, what each one is really asking, and why the scores are offered as a straw man for the business to correct.
Not a tour of tools. A good executive AI session gives a leadership team a shared vocabulary, a view of the competitive baseline, a frame for placing opportunities, and the governance map, in a day. Here is the agenda.
What actually happens in an AI discovery programme, step by step, from the first divergent workshop to a roadmap the board can fund, using our most recent full programme as the worked example.