AI Production Readiness Scan
Verify whether your AI application, agent, or automation workflow is ready for real users across 5 critical engineering dimensions.
Production Readiness Assessment
Check each safeguard present in your AI application:
You have a benchmark set of 25+ realistic inputs with expected baseline outputs.
Prompt or model parameter updates are tested against regression criteria before release.
Untrusted user or document inputs are sanitized and isolated from system instructions.
AI agents cannot execute destructive database or API commands without explicit permission boundaries.
Irreversible actions (payments, sensitive emails, data deletes) require human approval.
System gracefully handles API rate limits, model downtime, or timeout errors.
Maximum token usage limits, streaming response thresholds, and cost alerts are configured.
Scan Summary
High risk! Your AI application requires evaluation harnesses, threat review, and fallback handling before shipping.
Why AI Production Readiness Matters
Unlike traditional software with deterministic pass/fail tests, AI systems exhibit probabilistic outputs, context window limits, prompt injection risks, and token cost escalation.