Build a first company map from its website and documents.
What automatic means here
Many automated assessments make a questionnaire faster. Use Case Foundry automates the expensive work around the questionnaire: finding evidence, structuring it, testing it against evidence-backed plays, identifying gaps, and rerunning the ranking as the evidence improves.
Four discovery engines that remove blank-page work
1. Website and document auto-map
Provide a company URL, annual report, proposal, process note, CSV, spreadsheet, or document folder. Foundry extracts supported offerings, segments, projects, workflows, pains, skills, assets, and constraints into a structured draft.
2. Outside-in public-evidence scan
Foundry scans dated sources from customers, sales channels, competitors, suppliers, regulators, hiring pages, investors, and industry publications. It produces a discovery brief with possible business priorities and links to every source before management interviews begin. Public signals never become verified company facts on their own.
3. Consent-first workflow discovery
Optional workstation capture drafts recurring workflows, system touchpoints, and bottlenecks from local activity metadata. It records no screenshots, keystrokes, or file contents; raw activity stays local and only redacted summaries enter review.
4. Pain Discovery Studio
When an open-ended interview stalls, Pain Discovery Studio turns the saved company map into a guided interview workspace. Choose complementary interview techniques, draft possible workflow problems, validate one target, and add only reviewed problems back into the company evidence. Suggestions stay separate from facts until a person accepts them.
Automatic evidence, not automatic truth
Automatic extraction and discovery create suggestions. A person reviews what enters the company map. Fixed checks compare accepted facts with a broad library of opportunity patterns, while written reasons explain the value, practicality, and company advantage behind the order. This makes automation useful without allowing a plausible AI answer to silently become strategy.
From discovery to an actionable result
The output is more than a readiness score. It is a ranked set of quick wins, larger bets, required preparation, dropped generic ideas, and specific evidence gaps—plus agent designs, tests, pilot plans, and starter code for selected opportunities.