AI Pilot
Production value, model access, safety, and operating ownership need review.
Azure Architecture Assessment
Move Azure and AI Work Into Production.
Review architecture, cost, governance, security, ownership, and scope before the work expands.
- Assessment
- 2 to 3 weeks
- $15K to $35K
- Blueprint, Build, Office, Governance
Azure Spend
Cost, tagging, budget ownership, and platform choices need a clear view.
Architecture Approval
Identity, networking, data, security, and deployment choices need agreement.
Implementation Scope
QA gates, assumptions, reporting, and handoff need approval before delivery expands.
Assessment Output
Review the Work Before Build, Budget, or Governance Expands.
The assessment reviews the business goal, Azure current state, risks, owners, and the decisions needed before the work grows.
Current state findings
Risk register and owner map
Architecture recommendations
90 day action plan
Service Ladder
Move From Assessment to Approved Delivery.
Start with Assessment when the current state is unclear. Move into Blueprint, Build, Architecture Office, or Governance when the next decision is ready.
Azure Architecture Assessment
A fixed scope assessment for teams that need current state, owners, risks, scope, and a 90 day action plan for an Azure or AI initiative.
$15K to $35K
2 to 3 weeks
Architecture Blueprint Sprint
A focused sprint to turn the business goal into target architecture, controls, backlog, and implementation scope.
$35K to $85K
3 to 6 weeks
Pilot to Production Build
Implementation support to move an approved AI, data, or cloud pilot into production with controls and handoff.
$75K to $250K
8 to 16 weeks
Architecture Office
Recurring senior architecture guidance for Azure, AI, cloud, data, vendor, and platform decisions.
$12K to $35K per month
6 to 12 months
Managed AI and Cloud Governance
Recurring governance for production AI and Azure work across risk, cost, architecture changes, controls, KPIs, and roadmap decisions.
$8K to $50K per month
Annual retainer
Microsoft-Aligned Review
Azure, AI, Cost, Security, and Operations Reviewed Together.
The engagement reviews the Azure and AI capabilities teams are trying to put into production, then checks the platform controls needed to operate them.
Start With Assessment
Use the Azure Architecture Assessment when the current state, owners, risks, or implementation scope are not clear.
Move Into Blueprint
Use a Blueprint Sprint when the business goal is known but target architecture and scope still need approval.
Build Approved Scope
Use Pilot to Production Build when architecture is approved and delivery needs controls, monitoring, and handoff.
AzureCloud platform
Landing ZonePlatform foundation
AI FoundryAgents and models
Azure OpenAIModel access
AI SearchRetrieval
DefenderSecurity posture
PolicyGovernance
Azure MonitorOperations
Managed IdentitiesAccess model
Key VaultSecrets
Content SafetyAI guardrails
Application InsightsTelemetry
API ManagementAPI control
Container AppsApp runtime
PostgreSQLData platform
AdvisorOptimization
Delivery
Assess, Prioritize, Architect, Build, Operate.
Each engagement keeps the next decision visible: who owns it, what evidence supports it, and what should happen after approval.
- 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, dashboards, governance review, reporting, and future approval decisions.
Start Here
Bring the Azure or AI Work That Needs a Decision.
Share the business goal, Azure or AI context, blockers, timeline, and decision owner. The first call confirms whether Assessment is the right next step.