Organizations in the Forrester study started in a similar place: cloud bills were rising, visibility was limited, and it was difficult to forecast spend or hold teams accountable.

By putting a FinOps practice in place and using Microsoft’s native tools together, they were able to reshape how they manage cloud costs:

• Microsoft Cost Management gives detailed visibility into who is spending what, on which resources. Teams can allocate costs, set budgets, and configure alerts so overruns are caught early instead of at month-end.
• Azure Advisor analyzes configuration and usage telemetry, then recommends concrete actions such as rightsizing VMs, shutting down idle resources, or enabling autoscaling. These recommendations improve cost efficiency, performance, reliability, and security at the same time.
• The Azure pricing calculator lets you estimate costs for different architectures and usage scenarios before you deploy, so you can design with cost in mind instead of reacting after the fact.

In Forrester’s composite organization (a global enterprise with $1 billion in annual revenue and an initial $12.5 million Azure budget), using these tools together delivered:

• Direct cloud cost savings of 25% in Year 1 from better visibility, rightsizing, and following data-driven recommendations.
• Improved productivity of 24% by Year 3 for the FinOps team, because cost management tasks became more automated and less manual.

Those savings didn’t just reduce spend; they also freed up budget and time to reinvest in AI initiatives and other value-driving projects.

Once organizations in the study had better visibility and usage optimization in place, they layered on Azure strategic pricing offers to further improve rates and predictability.

The key components were:

• Azure savings plan for compute: A flexible pricing model where you commit to a fixed hourly spend on select compute services for one or three years. This unlocks lower prices while still allowing some flexibility in how you use compute.
• Azure reservations: Commit to specific resources in a specific region for a set term to secure discounted pricing. This works well for steady-state workloads you know you’ll run.
• Azure Hybrid Benefit: Lets you apply existing Windows or SQL Server licenses with Software Assurance (and qualifying subscriptions) to Azure, and also supports Linux. This reduces the cost of moving those workloads to the cloud.

Forrester’s composite organization first used Microsoft tools to optimize usage, then applied these pricing offers. The combined impact was:

• Direct cloud cost savings of 20% in Year 3 from Azure strategic pricing offers alone, on top of the earlier tool-driven savings.
• Three-year, risk-adjusted benefits of $8.8 million versus $22,000 in costs, resulting in a net present value (NPV) of $8.7 million.
• Some customers reported total savings of 30% to 35% when combining better cost management with reservations and Azure Hybrid Benefit.

These offers also helped organizations:

• Improve spend predictability by moving away from purely on-demand pricing.
• Accelerate cloud migration by making it more affordable to move existing Windows and SQL Server workloads.
• Reinvest predictable savings into AI adoption and innovation, such as fraud prevention and customer experience projects.

The organizations Forrester interviewed weren’t just trying to cut costs; they wanted to reimagine how cloud spending supports AI and growth.

By combining a FinOps practice with Azure’s native tools and pricing offers, they were able to:

• Establish financial accountability: A centralized FinOps team used Microsoft Cost Management, Azure Advisor, and the Azure pricing calculator to create shared visibility across engineering, finance, and business teams.
• Improve forecasting and governance: Better data and alerts made it easier to set budgets, forecast spend, and tie cost increases to specific projects or initiatives.
• Accelerate cloud and AI adoption: With Azure Hybrid Benefit, reservations, and savings plans, organizations reduced the cost of migration and ongoing operations, which made it easier to move more workloads and scale AI projects.

For the composite organization, this translated into:

• 25% direct cloud cost savings in Year 1 from Microsoft tools.
• 20% additional savings by Year 3 from Azure strategic pricing offers.
• 24% productivity improvement by Year 3 for the FinOps team.
• $8.8 million in quantified benefits over three years, with an NPV of $8.7 million.

Organizations then redirected these savings and capacity into:

• Scaling AI initiatives such as fraud prevention and customer experience improvements.
• Building additional solutions and expanding digital services.
• Optimizing their cloud footprint to reduce both costs and carbon emissions.

In practice, a FinOps-led approach with Azure helps you rethink cloud from a cost center into a managed investment that funds AI and long-term business growth.