Resources
Practical guides and checklists for better AI architecture decisions.
Use these resources to clarify data readiness, validation, operating risk, production priorities, and the questions to answer before a build.
Guides and templates
AI Architecture Audit Checklist
A shareable checklist for mapping AI capability, data readiness, workflow risk, validation gates, operating model, roadmap, risk register, and validation plan.
AI Readiness Checklist
A practical checklist for assessing data, workflow, security, and operational readiness before an AI initiative.
AI Infrastructure Cost Audit Template
A structured template for reviewing model spend, retrieval latency, cloud ownership, rightsizing, and governance.
AI Architecture Review Guide
A review guide for teams evaluating data access, retrieval quality, agent controls, observability, and release readiness.
Next step
Need a structured audit for your AI initiative?
Use the Two-Week Architecture Audit to turn checklist findings into a capability map, risk register, implementation roadmap, and validation plan.