Use Case FoundryAI opportunity discovery workspace

Guided workflow

From company evidence to ranked AI bets — three steps.

Getting started — Source → Model → Review
1 · Source — load an example or auto-map a company 2 · Model — capture evidence; operators turn green as facts unlock 3 · Review — tune ranking, Analyze, then read the board

You do not need every field. Start partial, run Analyze, then close the top gaps in Improve the model before Generate full plan.

Evidence fill order (most leverage first):

#SectionWhat to capture

Links matter: serves (offering→segment), uses (process/offering→asset), reuses (offering→project), bottlenecked_by (process→skill).

Full builder guide — multi-day discovery, analyze vs generate, and tips.

Step 2Evidence model

Fill only what you know. Green operators on the board mean you captured enough signal.

Company

Build your evidence map

Load an example to explore, or add what you already know. Only a few facts are needed — the board shows which operators unlock.

Step 3Review & board

Tune ranking, run analysis, then read grouped opportunities below.

Prioritize & run ⓘ

feasibility 0.50 / moat 0.50 - left favors defensible bets, right favors quick wins.
Leave blank for an unbiased ranking. Mandates only nudge - they never override the quality gate.
Persona only affects LLM framing (Generate). Analyze is unaffected.
Start by loading an example, auto-mapping a company, or adding a few facts in the evidence map. The recommendation board will explain which operators fired and what to capture next.