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Discovery hub

Arrive at discovery with hypotheses worth testing.

Combine dated outside-in signals with reviewed operating evidence so workshops focus on the gaps that can actually change a decision.

Open the discovery demo See the discovery brief

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Build the evidence base

Gather signals, identify supported opportunities, and preserve human control over what becomes truth.

Automatic discovery, reviewed truth Automated AI opportunity discovery that shows its evidence

Start with a URL, documents, a spreadsheet, or consent-first workflow signals. Use Case Foundry automatically drafts the company evidence map and candidate opportunities; people decide what counts.

 Demand intelligence methodology Know what the market may demand before the first workshop

Use Case Foundry builds a source-linked outside-in view, keeps every inferred priority provisional, and uses it to sharpen discovery without letting public evidence invent ungrounded AI projects.

 AI use case identification Identify the AI use cases your company has evidence to win

Use Case Foundry tests company facts against 52 evidence-backed plays, explains every score, filters generic ideas, and sequences prerequisites before a roadmap decision.

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Use people where judgment matters

Prepare the workshop, gather operational evidence, and turn missing proof into focused questions.

AI discovery workshop Do the blank-page work before the AI discovery workshop

Start with an automatic company and demand scan. Walk into the workshop with sourced hypotheses, candidate patterns, and the exact evidence gaps that need human judgment.

 Template AI discovery interview guide

Use these prompts to gather the evidence needed for defensible AI opportunity prioritization.

 Sample public-evidence brief Know what customers may demand before the first workshop

This illustrative Meridian Fab brief shows the demand-chain output: dated public signals, their implied demand, inferred internal mandates, reconciliation against known capabilities, and the questions discovery must validate.

 End-to-end teardown From a dated public signal to a funded agent package

Follow one Meridian Fab demand hypothesis all the way through internal validation, a bounded ranking adjustment, and the gates required before engineering receives a build package.

Keep following the decision

Turn reviewed evidence into a ranked decision.

The method separates quick wins, strategic bets, prerequisites, and evidence gaps before delivery starts.

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