The Production-Ready AI Agent Audit
50 Critical Checks Before You Go Live
Beyond the demo: autonomous AI agents fail in production for five predictable reasons — reliability, state management, tooling, observability, and security. This audit systematically checks each one.
Free Download
Is Your AI Agent Production-Ready?
Download our 50-point audit checklist — the same framework we use to evaluate agent reliability, state management, and security on every client engagement.
What's covered
Inside the checklist
01
Reliability & Determinism
- Strict output validation (Pydantic)
- Schema adherence
- Retry logic (self-healing)
- Hallucination checks
- Infinite loop detection
- Timeout handling
- Fallback mechanisms
- Rate limit handling
02
State Management & Persistence
- Checkpoint strategy
- Session isolation
- State serialization
- Memory management
- Conversation context limits
- Cross-agent state sharing
03
Tool Integration & Permissions
- Tool-scoped RBAC
- Input sanitization
- Output validation per tool
- Permission boundaries
- API key rotation
04
Observability & Cost Control
- Structured logging (JSON)
- Token usage tracking
- Latency monitoring
- Cost alerts
- Decision audit trail
05
Security & Compliance
- Prompt injection defense
- Data exfiltration checks
- PII handling
- Audit logging
- Multi-tenant isolation
Next Step
Turn this into a running system
Use this resource to sharpen the engineering decision, then move into the capability path that implements the system with production discipline.
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