Design review, offline tests, a supervised pilot, and production handoff each receive a clear pass-or-fail result.
What readiness means
An AI agent is ready only when it has a clear job, representative tests, minimum permissions, required human approvals, safe failure behavior, monitoring, accountable owners, and a practical way to run before it touches live work. The adoption plan should already show the foundations, owners, controls, and rollout route around the selected use case.
The seven steps
Each step builds on the one before it:
- Agent design — define the job, work loop, tools, permissions, and what evidence is still missing.
- Starter code — add the service structure, test suite, missing-evidence list, and pilot package.
- Safety review — check that the package is complete and safe enough for offline testing.
- Offline test run — run expected, difficult, and unsafe cases without calling live customer systems.
- Observe-only simulation — test behavior on approved historical or clearly labeled synthetic cases, with no live actions.
- Supervised pilot plan — define pilot users, sample data, success measures, monitoring, stop rules, and approvals.
- Production handoff — give engineering the integration list, operating owners, monitoring plan, rollback steps, and final approval checklist.
Tested pilot paths
Support copilot
The tested read-only Cloud Run path answers from an approved support corpus with source-aware retrieval and access controls. Each customer corpus, identity setup, and release needs its own acceptance testing.
Evidence assembly
The tested read-only Cloud Run path assembles evidence packets and gap tasks. It cannot declare a control effective or submit an attestation. The lasting reviewer workflow still requires customer validation.
Financial reconciliation
The most mature tested path adds lasting human review, PostgreSQL, application identity, multiple service copies, secure secret references, and monitoring. It proposes matches and queues exceptions but cannot post journals or move money.
What ships today
For supported patterns, Foundry can export real starter code with integration templates or bundled spreadsheet data where appropriate, configuration placeholders, safety controls, automated tests, and a handoff guide. The tested cloud paths apply only to the specific workflow and software release tested; they do not make every generated agent production-ready.
Why this matters
A convincing agent description is easy to generate. Use Case Foundry ties readiness to reviewed evidence, adoption planning, simulation, and the delivery package, so “ready” has a clear meaning: required tools are covered, risky actions are tested, human approval exists, and the test threshold was met.
What it does not do
Use Case Foundry provides readiness checks and starter code for supported patterns. It does not create customer credentials or provide universal one-click production deployment.