Agent readiness

Agent deployment readiness, gated by evidence — not enthusiasm

Every agent blueprint carries a readiness verdict computed from your evidence graph and scaffold, not the LLM's opinion. Ready, needs evidence, or unsafe — the gate decides before a pilot or production handoff can start.

1

Pilot validation, mock execution, human pilot, and production handoff each compute a pass/fail verdict from facts.

2

A use case can rank highly and still be “needs discovery” — impact and deployment readiness are different questions.

3

The optional LLM narrative can explain a verdict. It cannot change it.

The readiness ladder

Each stage builds on the last, and each one is auto-enabled by the stage above it:

  1. Agent blueprint — mission, operating loop, tools, permissions, and a readiness status: ready, needs discovery, prototype only, or not recommended.
  2. Agent scaffold — a runtime contract, eval suite, readiness gap workflow, and pilot package on top of the blueprint.
  3. Pilot validation — checks whether the scaffold is actually complete and safe enough to run a mock pilot with: ready for mock eval, needs evidence, or unsafe to pilot.
  4. Pilot execution — actually runs the eval suite offline against mock connector stubs: mock eval passed, mock eval failed, blocked, or unsafe to run.
  5. Human pilot — converts a passed mock execution into a structured real-pilot plan: ready for human pilot, needs pilot setup, or unsafe for human pilot.
  6. Production deployment — converts a ready human pilot into a handoff package: ready for production handoff, needs production setup, or unsafe for production.

Why this matters for buyers

Anyone can generate an agent-shaped narrative with an LLM. Use Case Foundry ties every readiness verdict to your evidence graph and the scaffold you actually built, so a “ready” verdict means something specific: the tools are covered, the unsafe-action checks are exercised, the approval workflow exists, and the eval threshold was met.

What it does not do

This is a readiness package and gate, not an automated deployment. No credentials are created, no infrastructure is provisioned, and no external systems are called.

Ready to apply this to your own AI roadmap?

Use a sample workspace now, or contact us to discuss your assessment workflow.