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Production readiness

AI Production Readiness Assessment

Assess whether an AI agent is ready for production across behaviour, business rules, execution integrity, security and release evidence.

Production readiness is not established by a model benchmark or a single evaluation score. It requires evidence that the complete system behaves correctly under realistic journeys and that critical risks are controlled.

01

Validate critical journeys

Exercise the customer and operational journeys that matter most to the business, including edge and recovery paths.

  • Critical business journeys
  • Failure and recovery paths
  • Realistic multi-turn execution
02

Verify behaviour and state

Check answers, business rules, tool calls, authorization, state transitions and terminal outcomes using the right evaluation method for each claim.

  • Deterministic assertions
  • Semantic evaluation
  • Execution integrity
03

Challenge security boundaries

Test high-risk trust boundaries and verify whether adversarial inputs can cause unsafe tool use, policy violations or harmful side effects.

  • Adversarial testing
  • Tool and permission controls
  • Verified impact
04

Produce a readiness decision

Connect findings and evidence into a governed release assessment that can be reviewed and repeated after changes.

  • Readiness evidence
  • Release gates
  • Regression controls

Frequently asked questions

What does AI production readiness mean?

It means the AI system has evidence supporting required behaviour, business correctness, execution integrity, security and operational controls for its intended production scope.

Is a high LLM evaluation score enough for production?

No. A high semantic score does not prove business correctness, execution integrity, authorization, security or successful completion of the intended goal.

Can production readiness be reassessed after changes?

Yes. The assessment can become a repeatable regression and release-assurance workflow tied to new builds and release candidates.

See the assurance model against a real AI system.

Bring one business journey and see how Shyena maps, tests, evaluates, secures and connects the evidence to release decisions.

Request a demo