Pre-Production AI Deployment Checklist

Pre-Production AI Deployment Checklist

Coming Soon

This comprehensive guide is currently under development. Below is an outline of what this page will cover.

What This Page Will Cover

This checklist integrates requirements from all five pillars to ensure your AI application is production-ready.

FinOps Readiness

Check	Why It Matters	Reference
Cost estimation complete	Budget planning	Token Economics
Usage limits configured	Prevent bill shock	Rate Limiting
Cost monitoring active	Track spend	Cost Dashboard
Chargeback system ready	Attribution	Chargeback Models

Performance Readiness

Check	Why It Matters	Reference
Latency benchmarks met	User experience	TTFT Guide
Load testing complete	Capacity planning	Load Balancing
Caching configured	Cost + speed	Caching Strategies
Streaming implemented	Perceived speed	Streaming Guide

Quality Readiness

Check	Why It Matters	Reference
Eval pipeline running	Quality assurance	Eval Frameworks
Hallucination detection active	Accuracy	Hallucination Detection
Regression tests passing	Prevent quality drops	Regression Testing
Feedback loops configured	Continuous improvement	Feedback Loops

Security Readiness

Check	Why It Matters	Reference
Input validation active	Injection defense	Input Sanitization
Output filtering configured	Safety	Output Validation
PII detection enabled	Privacy	PII Detection
Access controls configured	Governance	Access Control

Observability Readiness

Check	Why It Matters	Reference
Tracing implemented	Debugging	Agent Traces
Dashboards configured	Monitoring	Agent Dashboards
Alerting active	Incident response	Alerting Strategies
SLOs defined	Reliability	SLOs for AI

Interactive Widget (Coming Soon)

Deployment Checklist

Coming Soon: Interactive checklist:

• Track completion
• Export progress
• Link to details
• Generate report

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Pillar Deep Dives

FinOps Track Cost optimization

Performance Track Speed optimization

Evals Track Quality assurance

Security Track Protection

Observability Track Monitoring