See How Your Microsoft Stack Measures Up: A Self-Assessment for IT and Cloud Platform Leaders

Your Microsoft environment has been changing in two directions at once, and most support conversations have kept pace with only one. The first way is familiar. Azure footprints keep expanding: new services, new regions, more workloads, and more security tooling layered on top of what was there the year before. Most IT leaders already expect their support needs to grow alongside that kind of growth.

The second one is newer. Through 2026, Microsoft built agentic AI directly into its platform, with identity, governance, and continuous oversight becoming part of the same operating layer as the agents themselves. Microsoft's own description of this shift emphasizes governance and control- the system running around an AI model - as the determining factor in whether that model holds up inside a business. Organizations are now running Copilot agents and custom agents built in Microsoft Foundry inside their own tenant (the organization's dedicated Microsoft cloud environment), often before their support arrangement accounts for these agent workloads.

The checklist below gives you a direct way to analyze the impact of your Azure footprint and your agentic AI layer against your current support needs. Work through the four sections, note what applies to your organization, and use the closing section to decide what to do next. A legitimate outcome here is confirming that your current support already covers this ground. We built it from the same questions our engineers ask when they take on a new support relationship: what is running, what changed recently, and where the previous vendor's visibility stopped.

Core Azure and Infrastructure Complexity

Mark what applies to your environment today.

Why this matters: Support agreements are usually scoped at a single point in time, but Azure environments keep expanding one component at a time. An agreement written for the environment you had 18 months ago will not automatically describe the environment you are running today. Confirming that directly is more reliable than assuming the gap has closed on its own.

The Agentic AI Layer

Mark what applies to your environment today.

Why this matters: Gartner projects that 40 percent of enterprise applications will include task-specific AI agents by the end of 2026, up from under 5 percent the year before, so piloting agents is now common rather than exceptional. Microsoft has also built a distinct identity and governance layer for agents themselves, giving each one its own Entra Agent ID instead of borrowing a person's login. Most existing support relationships were built and priced around classic Azure infrastructure before this layer existed, so a vendor's Azure credentials do not automatically extend to agent governance. Confirming that directly is worth doing now.

Support Experience Signals

Mark what has happened in the past 12 months.

Why this matters: SQM Group's long-running benchmarking research puts a good first-contact resolution rate at 70 to 79 percent industry-wide, with technical support specifically trailing toward the lower end of that range. Some escalation is ordinary in technical support. A pattern of escalation, research delays, and repeated context-setting across many tickets over many months is a different signal, worth naming to your vendor directly.

Governance and Visibility Signals

Mark what applies to your current support arrangement.

Why this matters: Microsoft itself is preparing to formalize the gap between generic Azure credentials and real support depth. Partner reporting confirms Microsoft is introducing a support-specific Solutions Partner designation later this year, built to distinguish partners with a genuine support practice from those without one, confirming that generic Azure credentials do not guarantee support depth on their own. On the governance side, Deloitte's 2026 research found that only 21 percent of organizations planning agentic AI deployment report having a mature governance model in place. That gap is common right now among IT teams evaluating this exact question.

What to Do with What You Found

What you found above points to a next step. How big that step should be depends on how much of the checklist applied to you.

• If almost none of these applied to you, your support is likely keeping pace with your environment as it stands today. It is worth revisiting this checklist in six to 12 months, since your Azure and agent footprint will keep changing.
  

• If several items in one section apply to you, that points to a specific, answerable conversation. Bring that section to your current vendor and ask about it directly.
  ‍
• If items apply across three or four sections, that points to a broader conversation, either with your current vendor or with an outside perspective that can help you evaluate support options that more closely align with your needs.

‍

How to keep going from here?