Control Azure spend. Modernize with evidence.

It is the work of understanding what you are paying for in Azure and changing the things that do not earn their cost. That covers resources that are larger than the workload needs, resources nobody is using any more, storage and backup held on the wrong tier, environments left running outside working hours, and commitments such as reservations and savings plans that have not been bought where they would clearly pay. It is a continuing practice rather than a one-off exercise, because an estate changes and yesterday's right answer stops being right.

No. The assessment connects read-only. We collect evidence from Microsoft-native sources, establish a baseline, and produce recommendations. Nothing in your environment is modified during an assessment. If you decide to proceed with implementation, that is a separate agreement, and no production change is made without your approval of the exact plan, the validation criteria, and the rollback requirements.

No. Cost and modernization are decided together rather than in sequence, alongside architecture, licensing, resilience, security, ownership, and operational risk. Rightsizing a virtual machine that should be retired is wasted effort, and modernizing a workload without understanding its current cost gives you no way to tell whether the change was worth making. Every workload gets a decision: keep as-is, right-size, reconfigure, replatform, consolidate, schedule, retire, or modernize to an appropriate Azure platform service. Some of those reduce cost immediately, some change the cost profile later, and some cost more in return for resilience or capability you need.

No, we use them. Microsoft Cost Management, Azure Advisor, Azure Monitor, Azure Resource Graph, and Azure Migrate are the evidence base, and Simplicity IT does not replace Microsoft's native tools. What those tools do not have is your business context: which workload is revenue-critical, which one is being retired next quarter, which team owns what, and which change your change board will actually approve. We connect their signals to that context, to modernization decisions, to controlled implementation, and to verified results.

Yes. We review coverage, utilization, expiration, and workload stability, and we build the business case. Our advice is usually to commit only after the estate is right-sized, and only for the usage you are confident will persist. Buying a one or three year commitment against a workload that should have been shrunk or retired locks in the wrong number, and it is harder to unwind than it is to buy. We look at the stable baseline of your usage, at Azure Hybrid Benefit where existing licenses apply, and at the term and scope that fit your commercial position. The answer depends on your estate, so we work it out rather than assume it.

No. Fabric fits data, analytics, integration, real-time intelligence, and business-intelligence workloads, and every recommendation to move to it has to name a supported destination and a credible migration case. It is a sensible destination when you are consolidating a fragmented analytics estate or replatforming reporting and data engineering. It is not a destination for arbitrary virtual machines, line-of-business applications, or general compute, and we will not recommend it for those. Moving a workload to Fabric because Fabric is new is how organizations end up with a migration that solves nothing.

Microsoft-native evidence and deterministic rules establish the candidate findings. AI is used to connect signals across those findings, explain why cost moved, compare scenarios, and draft plans. A Simplicity IT specialist then validates the evidence and the feasibility of every recommendation before it reaches you, and you approve the exact production plan. AI does not make autonomous production changes.

Yes. Simplicity IT supports partner-branded, subcontracted, and jointly delivered engagements under an agreed operating model, including who holds the customer relationship, whose name appears on the deliverables, and how escalation works. If you have Azure optimization demand and do not want to build another delivery team for it, that is a conversation worth having.