Composite Service Example
Turning an AI Pilot Into Approved Azure Scope
This is a composite example, not a real client story. It shows how AI and cloud work moves from open questions to a fixed-scope Azure Architecture Assessment and an approved 90-Day Action Plan, with owners, risks, and bounded implementation scope.
Starting Point
The Team Had AI Momentum and Production Risk.
Findings
Ownership Came Before Tooling.
Business Case Before AI Production
The first issue was not model choice. The team needed a named owner, value hypothesis, adoption plan, and production success criteria.
Controls Before Production Access
Data boundaries, identity, model access, evaluation, and content safety needed a documented access and approval model.
Roadmap Before Implementation
The team needed to separate internal fixes, blueprint work, implementation scope, and governance before expanding delivery.
Actions
The Assessment Bounded Implementation Scope.
- Confirm production blockers, owners, risks, and a 90-Day Action Plan before implementation.
- Assign owners for cost, access, monitoring, and data-boundary decisions.
- Define target architecture, security model, backlog, assumptions, and a statement of work.
- Add monthly AI and cloud governance when risk, cost, and architecture decisions keep returning.
Start With Assessment
Bring Your Azure or AI Decision to the First Call.
Bring the initiative, business risk, current owners, and target timeline. The first architecture call is free for qualified teams and confirms the right starting point.