Azure Architecture Assessment
Use when Azure spend is climbing, ownership is unclear, a landing zone has drifted, or AI or production work needs approval before more is committed.
2 to 3 weeks
Services
Move Your Azure and AI Work From Pilot to Production.
Start with the Azure Architecture Assessment. In 2 to 3 weeks it reviews architecture, cost, governance, security, ownership, and implementation scope, and ends in an approved 90-Day Action Plan. Move into blueprinting, build, or governance when the work is ready.
Services
Find the Service for Your Stage.
Most teams start with the Azure Architecture Assessment. The services below run in delivery order, each with its timeline and the moment it fits. Price ranges for all five live on the pricing page.
View Assessment Scope
Architecture Blueprint Sprint
Use when the goal is approved but target architecture, integration, security, cost, and implementation scope still need decisions before any build.
3 to 6 weeks
Pilot to Production Build
Use when scope is approved and needs infrastructure, pipelines, controls, monitoring, and a documented handoff.
8 to 16 weeks
Architecture Office
Use when recurring roadmap, vendor, platform, and AI decisions each need senior architecture judgment.
6 to 12 months
Managed AI and Cloud Governance
Use when production AI or Azure work needs recurring review of risk, cost, controls, and roadmap changes.
Annual retainer
When to Call
Three Signals Your Azure or AI Work Needs Review.
If your work looks like one of these, start with the Assessment. The free first call confirms which service fits.
Azure spend is rising, but the team cannot explain which costs support the business goal.
Azure spend is rising, and the owners, tags, and workload decisions are not clear.
This is usually an ownership and workload-design gap, not a tooling gap: tagging, cost alerts, and financial operations (FinOps) routines come after.
An AI pilot has sponsor interest, but no one owns getting it to production.
The AI pilot has business support, but production controls and ownership are not clear.
The team needs decisions on data access, model risk, evaluation, monitoring, cost, and approval rules.
The same architecture decisions keep coming back across AI, cloud cost, vendors, roadmap, and platform changes.
We need a senior architecture review rhythm, not another one-time project.
The organization needs a standing architecture owner for roadmap, vendor, platform, Azure, AI, and delivery decisions.
Review Method
Microsoft Frameworks, Applied to the Decision in Front of Your Team.
The review covers Azure, AI, or both with one architecture method. What your team brings is read as one production system: business goal, data, identity, network, cost, security, operations, ownership, and implementation scope. Approval then rests on evidence.
For AI work, the review also checks whether the use case needs an agent, where data is grounded, what the system is allowed to do, and where a person must approve an action.
Frame adoption, planning, governance, security, and management around the way your team will operate Azure.
Check subscription structure, policy, identity, networking, and shared services against the workload boundary.
Review reliability, security, cost, operational excellence, and performance tradeoffs before build decisions are approved.
Record the material decisions that affect cost, security, identity, hosting, AI, data, operations, and future scope, so approvals hold as the work moves to build.
Delivery Method
How the Work Moves From Assessment to Handoff.
Each engagement starts with the business goal and ends with assigned owners, approved scope, an implementation handoff, or a recurring governance review your team can keep using.
- 01AssessClarify the business objective, owners, current state, risks, constraints, use cases, cost, and governance posture.
- 02PrioritizeRank opportunities by value, complexity, risk, cost, feasibility, and approval urgency.
- 03ArchitectDefine target state, security model, cost model, integration path, backlog, assumptions, and implementation scope.
- 04BuildImplement approved infrastructure, integrations, controls, testing, monitoring, documentation, and training.
- 05OperateHand off owners, runbooks, reporting views, governance review, and future approval decisions.
Turning an AI Pilot Into Approved Azure Scope
A composite example of how AI production risk, Azure cost, access ownership, and implementation scope can become approved next actions.
Read the exampleMore examples: landing zone drift and Azure cost drift.
- AI pilot plus cloud risk
- Assessment
- Risks, owners, 90-Day Action Plan
Start With the Azure Architecture Assessment.
Bring your Azure or AI context, timeline, blockers, and what needs approval. The signals above rarely resolve on their own — they resurface as rework, cost drift, and a stalled approval. The first call is free for qualified teams and confirms whether the Azure Architecture Assessment is the right starting point.