§ Playbook
For CTOs & architects
Shipping enterprise AI
to production
The Enterprise GenAI Reliability Checklist.
42 items across 6 categories. Exactly what I run through when architecting or auditing enterprise AI systems. Each item is a real incident I've seen, or narrowly avoided, in production.
If you can check most of these boxes, you're operationally ready. If you can't, you're shipping a demo. Most teams discover 5–10 unchecked items on first review.
What's inside
Each category: 7 items · Pass/fail format
01
7 items
Observability
Trace every LLM call. Measure what runs in prod.
02
7 items
Reliability
Timeouts, fallbacks, bounded retries. Drills.
03
7 items
Identity & Access
Per-service identities. Scoped secrets. Rotated.
04
7 items
Data Pipeline Hygiene
RAG quality is 80% data. Versioning, chunking, eval.
05
7 items
CI/CD & Deployment
Image promotion. Pinned models. Canary rollouts.
06
7 items
Cost & Abuse
Rate limits, cost alerts, prompt-injection defense.
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Written by
Šemsudin Sefić
AI Systems Architect · Sarajevo
I architected Alva, Alfa Laval's production multi-agent GenAI platform — 10+ LLMs, full RAG, .NET 8 orchestrator, Azure IaC. I pioneered AI-driven QA at Mars Petcare across 1000+ tests in six apps. Eleven years in the trenches where AI ambition meets production reality.