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Checklist

10 Things to Check Before Deploying AI Agents in Production

Most teams skip at least 3 of these. Security gaps, cost blowouts, and silent failures in production — this checklist helps you catch them before your users do.

What's inside

01

Sandbox & Isolation

Are your agents running in isolated containers with no access to host resources?

02

API Key Rotation

Do you have automated key rotation and scoped permissions for every external service?

03

Token Budget Limits

Have you set per-request and per-agent spending caps to prevent runaway costs?

04

Model Routing Strategy

Are simple tasks routed to cheaper models while complex reasoning uses premium ones?

05

Logging & Observability

Can you trace every request, response, and decision your agent makes in production?

06

Graceful Failure Handling

Does your agent degrade gracefully when upstream APIs fail or rate-limit you?

07

Data Privacy Compliance

Are PII and sensitive data handled according to GDPR/SOC 2 requirements?

08

Load Testing

Have you tested your agents under 10x expected traffic to find breaking points?

09

Rollback Plan

Can you instantly revert to a previous agent version if something goes wrong?

10

Human Escalation Path

Is there a clear handoff to a human when the agent hits its confidence threshold?

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