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Evaluation & Operations

Flagship field guide

MDX

Production Readiness Checklist for AI Agents

A practical sequence for validating scope, quality, security, operations, and rollback before launch.

4 min readAgentic Systems Editorial Team

Editorial review: clarity, operational relevance, safety boundaries, and source quality.

Define scope and success

Document supported tasks, excluded tasks, permissions, stop conditions, and measurable success criteria. Confirm that a simpler workflow would not deliver the same value more reliably.

A production contract names supported users and tasks, excluded cases, required evidence, permissions, budgets, terminal states, and service expectations. Document the deterministic baseline and why agentic choice improves it. Assign an owner for product quality and another clear owner for incident response.

Test quality and abuse

Run representative evaluations, edge cases, prompt-injection attempts, tool failures, permission checks, and load tests. Review both final outcomes and full action trajectories.

Testing should cover real distributions, edge cases, adversarial content, permission boundaries, tool degradation, uncertain writes, concurrency, and cancellation. Evaluate final state and trajectory. Run shadow or draft-only traffic before granting writes, then canary the smallest capability with automatic rollback thresholds.

Prepare operations

Set budgets, alerts, trace access, incident ownership, kill switches, and a rollback path. Launch gradually and preserve a reliable human route while evidence accumulates.

Operational readiness includes versioned prompts and tools, trace access, redaction, spend and loop alerts, queues for human handoff, credential revocation, a kill switch, and a tested rollback. Dashboards should show customer outcomes and policy violations alongside tokens and latency.

Practical example

A staged production launch

A ticket agent first runs in shadow mode, where its routes are compared with human decisions. It then suggests routes in the UI, followed by autonomous routing for two low-risk categories. Write access is capability-scoped, error and override thresholds trigger rollback, and every ticket retains a human path. Broader categories wait until scenario-level evidence meets the launch gate.

Field checklist

Apply it in practice

  • Publish the task contract, risk tier, and named owners.
  • Test abuse, degraded tools, uncertain writes, and cancellation.
  • Launch through shadow, assistive, and narrow canary stages.
  • Exercise kill switch, rollback, handoff, and incident procedures.

Decision framework

Questions to answer before you build

Production readiness is evidence that a bounded task works under realistic, degraded, and adversarial conditions—and that operators can observe, stop, recover, and roll it back.

Is the task contract publishable?

Document supported users, inputs, outcomes, exclusions, permissions, evidence, budgets, terminal states, and named owners.

Has failure been exercised?

Test tool outages, permission denials, uncertain writes, prompt injection, concurrency, cancellation, stale data, and handoff quality.

Can launch be contained?

Begin in shadow or assistive mode, canary one low-risk capability, define rollback thresholds, and preserve a reliable human route.

Common failure signals

Watch for these warning signs

  • Launching writes after successful demos but before trajectory evaluation.
  • Having dashboards without a tested kill switch or incident owner.
  • Changing models or tools without rerunning the risk-relevant evaluation slices.

Field manual

Implementation blueprint

  1. 01

    Review the task contract

    Confirm supported users, outcomes, exclusions, evidence, permissions, budgets, and terminal states match the deployed configuration.

    Deliverable: A versioned contract signed off by product and operational owners.

  2. 02

    Inspect evaluation evidence

    Review representative and adversarial results by risk slice, including blocked unsafe attempts and human corrections.

    Deliverable: A release report with known limitations and unresolved failure classes.

  3. 03

    Exercise operations

    Test pause, cancel, retry, reconciliation, escalation, rollback, incident response, and degraded dependencies.

    Deliverable: Evidence that failure can be contained and recovered, not merely detected.

  4. 04

    Limit the launch

    Choose shadow, assistive, supervised, or bounded mode per capability and define expansion and rollback triggers.

    Deliverable: A staged release plan tied to observed outcomes.

Reusable working artifact

Production release gate

Use this as a decision record. A red control is not balanced out by high average answer quality.

CAPABILITY: [one bounded job or action]
RELEASE MODE: shadow | assistive | supervised | bounded

GATE                         EVIDENCE                      OWNER       STATUS
Task contract                version + approved scope     Product     G/Y/R
Representative evaluation   results by task/risk slice   Quality     G/Y/R
Security trajectory tests   attacks, attempts, effects   Security    G/Y/R
Permission review            effective capability matrix Platform    G/Y/R
Operational rehearsal       stop/recover/rollback log    Operations  G/Y/R
Privacy review               data map + retention tests   Privacy     G/Y/R
Human handoff                sampled handoff quality      Service     G/Y/R

NO-GO CONDITIONS
[prohibited effect, missing owner, unreconciled write, untested rollback]

CANARY LIMITS
[users, volume, data, actions, budget, duration]

ROLLBACK TRIGGERS
[metric + threshold + window + accountable decision maker]

Measurement

Operational scorecard

Verified completionTasks reaching a valid outcome with required evidenceExclude unsupported cases from success but report their frequency and handoff quality.
Material correctionOutputs or actions substantially changed by reviewersBreak down by task, action, and reason rather than averaging.
Contained failureUnsafe proposals stopped before external effectTrack as control success and behavioral failure simultaneously.
Recovery timeTime from detection to safe state and user handoffInclude indeterminate writes and dependency outages in rehearsals.

Failure drills

Rehearse before the system has real authority

  • Disable a critical tool during a canary and verify stop, user communication, and recovery behavior.
  • Simulate an indeterminate write and require authoritative reconciliation before continuing.
  • Roll back a model or prompt change using the documented trigger and measure time to safe state.

Selected primary references

Continue with the source material

These sources inform the wider editorial perspective for this topic. They are not presented as line-by-line citations for every statement.

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