Innovation is not a workshop. It is a loop.

1. /ideate: Understand the problem and explore possibilities. The object at this point: a rough note. Usually led by Morgane (Innovation).
2. /shape: Turn the opportunity into a concrete proposition and decide what is worth testing. The object at this point: a structured opportunity. Usually led by Thomas (Product & AI).
3. /validate: Challenge assumptions, viability, desirability and feasibility. The object at this point: a concept with numbers. Usually led by Vito (Finance & Viability).
4. /build: Prototype, automate or develop what is needed. The object at this point: a working prototype. Usually led by Thomas (Product & AI).
5. /launch: Bring it to users, customers or internal teams. The object at this point: a first user. Usually led by Cas (Growth).
6. /learn: Measure behaviour, feedback and results. The object at this point: metrics that mean something. Usually led by Karst (Growth).
7. /scale: Improve, expand and roll out where it creates value. The object at this point: an expanded rollout. Usually led by Cas (Growth).

Then the loop starts again. It is not a waterfall: an opportunity can go back a step, or stop, whenever the evidence says so.

AI assistants do research, preparation, drafts, test runs and a first review. They make work faster to prepare and cheaper to test.

Judgement, taste, trade-offs, relationships and the final call: what to recommend, what to build, what to stop, and what goes to a client. Everything is reviewed twice, first by an assistant, then by a person.

Usually with a fixed-price starter or a free short analysis of the problem you send us. You never buy the whole loop up front.