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Readiness hub

A strong idea still has to earn the right to ship.

Move a selected opportunity through adoption planning, agent design, starter code, observe-only simulation, a supervised pilot, and production handoff without confusing a polished demo with readiness.

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Plan, define, and simulate

Order foundations and owners, define the agent and safety limits, then test representative behavior before live work.

After prioritization Turn a ranked AI roadmap into a plan people can adopt

A strong use case still needs owners, foundations, controls, training, and an ordered rollout. Use Case Foundry keeps that work attached to the decision instead of leaving it for the implementation team to rediscover.

 Agentic AI readiness Know whether an AI agent is ready before it touches live work

Each agent plan gets a readiness rating based on reviewed evidence, tests, simulation, and safety controls—not the AI model’s confidence. Tested Cloud Run paths exist for support copilot, evidence assembly, and financial reconciliation, with different levels of maturity.

 Agent design A clear agent design for every opportunity worth building

Define the job, work loop, inputs, outputs, tools, integrations, and human approvals for opportunities that pass the evidence review. Readiness comes from company evidence, not the AI model’s confidence.

 Agent starter code Turn an approved agent design into code your team can test

For supported patterns, Use Case Foundry adds a service structure, automated tests, concrete questions for missing evidence, and a pilot plan—then packages the starter code for your technical team.

 Agent test suite Test expected, difficult, and unsafe cases before trust

Every starter package includes tests, safe offline integration stand-ins, and a runnable test plan. Each case reports pass, fail, or blocked.

 Before a supervised pilot Simulate agent behavior before it touches live work

Use an observe-only sandbox to run expected, difficult, ambiguous, and unsafe cases without calling live customer systems. The result shows what passed, what failed, and what must change before a supervised pilot.

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Pilot and hand off

Set pilot users, monitoring, stop rules, owners, rollback, integration assumptions, production approval, and clear limits for supported deployment patterns.

Agent pilot plan A structured pilot plan a technical owner can actually run

After offline tests pass, Use Case Foundry prepares a real pilot plan: how the pilot will run, what evidence to collect, known risks, success measures, and a clear readiness result. It does not connect to a live system by itself.

 Production handoff A production handoff package engineering can act on

After a supervised pilot passes, Use Case Foundry prepares the integration list, operating owners, production test plan, readiness result, and downloadable starter code your technical owner can run.

 Before implementation begins Use Case Foundry before Azure AI Foundry

Azure AI Foundry helps build and operate AI systems. Use Case Foundry helps decide what deserves to be built first, then turns workshop evidence into a roadmap, evaluation plan, and handoff package your delivery team can use.

 Comparison Use Case Foundry vs generic AI agent builders

Agent builders help connect a prompt to tools quickly. Use Case Foundry first checks whether company evidence justifies the agent, then tests readiness for offline runs, a supervised pilot, and engineering handoff.

 Why pilots stall Why promising AI pilots fail before production

A strong demo does not prove business value, data readiness, ownership, safety, or production fit. Check those conditions before the pilot instead of discovering them afterward.

Next steps

See every check applied to one path.

Review the illustrative path from discovery through roadmap and implementation handoff.

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