Agent Production Readiness Checklist (2026)

Use this checklist to graduate an AI agent from demo → pilot → production. It’s designed for founders, engineering leads, and ops/security partners.

1) Scope & Task Contract
- Define ONE primary job: “When given X input, the agent produces Y output using Z tools.”
- Write explicit success criteria (e.g., “ticket resolved without escalation,” “invoice matched,” “meeting booked”).
- Document safe failure modes: what happens on uncertainty, timeouts, or tool failures.
- Set an initial autonomy level: recommend-only, partial autonomy, or full autonomy.

2) Tooling & Permissions
- Maintain a tool allowlist per agent with least-privilege permissions.
- Add approval gates for irreversible actions (refunds, deletes, price changes, user access).
- Ensure idempotency: repeated runs should not duplicate actions.
- Add rate limits and circuit breakers for downstream APIs.

3) Logging, Audit, and Data Handling
- Log structured metadata: model version, prompt/policy version, tools invoked, latency, token usage, outcome label.
- Decide whether to store raw traces; if yes, set retention (e.g., 14–30 days) and redaction rules.
- Provide an audit trail: who approved what, when, and what the agent saw/decided.
- Define data boundaries: what can be used for product improvement, and what is customer-isolated.

4) Evaluation & Regression
- Create 3 evaluation sets:
  (a) Golden edge cases (things that break you)
  (b) Rolling production sample
  (c) Red-team set (prompt injection, data exfiltration attempts)
- Run evals on every prompt/tool/policy change.
- Track weekly: task success rate, escalation rate, policy violations, tool error rate, cost per successful task.

5) Unit Economics (CPST)
- Calculate “cost per successful task” (CPST): model calls + retrieval + infra + expected failure cost.
- Include human escalation cost in COGS (time per escalation × fully loaded rate).
- Define pricing that protects margin (usage/outcome based or hybrid) and set alerts for cost spikes.

6) Rollout Gates
- Gate 0: Security packet ready (SOC 2 if applicable, DPA, retention policy, access controls).
- Gate 1: Pilot in recommend-only mode for 2–4 weeks; collect traces and labels.
- Gate 2: Partial autonomy for low-risk actions only; approvals for high-risk tools.
- Gate 3: Production rollout with SLOs (uptime, latency p95/p99) and an incident process.

7) Incident Response & Ownership
- Assign an on-call owner for agent incidents (even if lightweight).
- Create runbooks for top failures: tool auth expiration, schema changes, model degradation, cost spikes.
- Set a 24-hour SLA to investigate any policy violation or high-severity error.

If you can check every item above, you’re not just shipping an agent—you’re shipping a product enterprises can trust, budget for, and expand.