What Should an Azure Architecture Assessment Cover?
A practical guide to the Azure cost, governance, landing zone, security, AI, ownership, and implementation questions an assessment answers before production work expands.
Knowledge Hub
Azure Architecture Knowledge Hub.
These guides are for teams reviewing Azure cost, governance, landing zone structure, and AI readiness before the next decision. Find the guide you need, then book a fixed-scope Azure Architecture Assessment when you are ready.
New here? Start with the Azure Architecture Assessment guide.
Start With Assessment
Use these when the team needs to decide whether Assessment, Blueprint, Build, Architecture Office, or Governance is the right starting point before production work expands.
- What to Expect From an Azure Architecture Assessment
The week-by-week shape of an Azure Architecture Assessment — what your team provides, how much time it takes, and what arrives at the end.
- What Is Azure Architecture as a Service?
How fixed-scope assessment, blueprinting, production build support, Architecture Office, and governance move Azure and AI work from pilot to production.
- How Azure and AI Architecture Services Are Priced
How the Azure Architecture Assessment, Architecture Blueprint Sprint, Pilot to Production Build, Architecture Office, and Managed AI and Cloud Governance are scoped and priced.
Production Readiness
Use these when Azure or AI work is close to production and needs clearer architecture, controls, owners, cost visibility, or Microsoft alignment.
- Azure Landing Zone Drift: Warning Signs and What to Review
Where Azure landing zones drift across identity, networking, policy, logging, cost, and ownership, and what to review before adding more workloads.
- When Does a Growing Azure Program Need a Landing Zone?
Practical signs that an Azure program needs landing zone structure as workloads, users, or AI services grow.
- What to Decide Before Moving AI Foundry Into Production
The decisions a team must make to move Azure AI Foundry from pilot to production: model access, retrieval, tool use, safety, identity, monitoring, and cost controls.
- Azure AI Foundry Agent Production Readiness Checklist
A production readiness checklist for teams moving Azure AI Foundry agents, AI Search, MCP tools, and Azure OpenAI patterns from pilot to production.
- What Drives Azure AI Foundry Cost in Production?
The cost drivers behind a production Azure AI Foundry workload — model consumption, retrieval, and monitoring — and who should own each before the bill scales.
- How Do CAF, WAF, Landing Zones, and ADRs Fit Together for Azure Decisions?
How your team uses Microsoft guidance, systems thinking, and ADRs to approve Azure and AI architecture decisions before production work expands.
Cost and Governance
Use these when Azure spend, ownership, recurring review, and operating controls need a practical approval model.
- Azure Cost Governance: Fix Ownership Before You Buy More Capacity
Connect Azure spend to owners, budgets, reservations, tags, retention, and cleanup decisions before cost grows again — and decide what is safe to buy.
- How to Scope an Azure Cost Cleanup Before You Spend More
Scope an Azure cost cleanup around owners, budgets, retention, reservations, right-sizing, and governance — so each saving has an owner and a decision.
- Azure Cost and Governance Checklist for Production Programs
A short checklist for confirming who owns Azure cost, tags, budgets, and governance before you add more infrastructure.
Decision Records
Use these when architecture choices need owners, tradeoffs, and a written record the team can keep using.
- What an Azure Architecture Decision Record Should Include
A practical ADR structure for Azure teams whose decisions, tradeoffs, owners, and implementation actions need to survive beyond the meeting.
- How to Run an Azure Architecture Board With a Recurring Review Cadence
A practical model for recurring Azure architecture decisions, owner actions, ADRs, cost review, AI governance, and implementation oversight.
Bring the Azure or AI work waiting on a decision.
Use the first call to talk through the business goal, Azure context, timeline, blockers, and what needs approval.