Learning path · Enterprise Patterns & Governance · 85
Enterprise AI Patterns
Reference architectures for secure, multi-tenant GenAI—VPC deployment, SSO, audit logs, staged rollouts.
Why it matters
- Bridges prototype notebooks to platform engineering.
- Aligns AI features with existing SDLC and IT controls.
- Reported industry case studies emphasize observability and routing.
Key ideas
- Landing zones
- Shared services
- Progressive delivery
Enterprise patterns standardize embedding pipelines, prompt registries, eval gates, and secret management. Provide golden paths: approved models, connector templates, and telemetry defaults. Stage features behind feature flags with kill switches. Central platform teams enable product squads without each rebuilding RAG from scratch. Offer paved-road templates for RAG and agents so product teams inherit security, logging, and eval defaults by default. Validate changes on production-like eval slices before rollout. Measure platform adoption by counting squads on paved roads versus bespoke stacks.
Updated 2026-08-09 · Full learning path