Enterprise AI DeliveryReference template for AWS

One navigable system — lifecycle hubs, role perspectives, decision guides with pros/cons & pitfalls, and reference SOPs. Documentation only.

AI toolkit catalog

Every AI tool and AI-adjacent artifact — Cursor, Bedrock, MCP, ADR, OpenAPI — what each does and how it impacts delivery.

Browse toolkit

Plan → Build → Verify → Release → Operate → Learn — each phase links guides, SOPs, roles, and gates.

Browse lifecycle

Same cycle through developer, DevOps, QA, PM, Scrum Master, program manager, team lead, architect, and security lenses.

View by role

16 guides comparing alternatives — with pros, cons, pitfalls, and related SOPs on every page.

Browse guides

Delivery, quality, platform, data & security, operations — grouped by concern.

Browse pillars

RACI, tier model, phase gates, and 12 reference procedures to adapt.

Governance model

Layer model, AWS topology, data governance, and identity cross-cuts — with Mermaid throughout.

View architecture

Question	Start here
We're new — where do we start?	Adoption roadmap
What's my role in the cycle?	Role perspectives
What AI tools and artifacts do we use?	AI toolkit catalog
Which AI coding tool?	AI coding tools
IAM, RBAC, secrets?	Identity, access & secrets
Data in AI prompts?	Data governance