What happens when your Cloud bill keeps growing?

Discover how we helped a leading insurance and financial services organization to uncover cloud waste and identify $58,200 in annual savings.

Azure-FinOps-Results for Farm Bureau

 

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Strategic Challenge

A leading insurance and financial services organization with a growing digital footprint was struggling with ballooning Azure cloud costs. Despite significant cloud adoption, the organization lacked visibility into where money was going, had no meaningful savings mechanisms, and faced surprise bills at the end of every month.

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How We Deliver Value

Enkaytech designed and deployed a comprehensive Azure Health Check (HC), Governance, and FinOps implementation to enable them to be more proactive in identifying waste and cost savings. Within 1 month, the insurance firm achieved full cost visibility and implemented commitment-based savings.

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Our Expertise

  • Microsoft Azure Governance and Advisory Guidance
  • Infrastructure deployment
  • Data engineering
  • Analytics & reporting
  • Optimization execution
  • Azure Policy, tagging strategy, chargeback framework

A leading insurance company operates a multi-subscription Azure environment supporting critical insurance applications, customer portals, data analytics platforms, and internal business systems. With teams spanning Development, QA, Production, and Data Analytics, cloud resources were provisioned rapidly to meet business demands. However, this agility came at a cost:

  • Azure subscriptions across business units with no unified cost view
  • Hundreds of resource groups with inconsistent tagging and governance
  • Multiple Azure services including Virtual Machines, Azure SQL, Storage Accounts, App Services, and Microsoft Fabric
  • No commitment discounts — all workloads running on full on-demand (pay-as-you-go) pricing
  • Minimal negotiated savings through their existing agreement

The organization’s cloud spend was trending upward month over month, and the finance team could not answer fundamental questions: Where is our cloud budget being spent? Which applications are the most expensive? Are we paying for resources we don’t use?

The Challenges

  1. Blind Spending. No centralized cost view. Business units ran in silos, finance got one opaque Azure invoice, and nobody could answer: Where is our money actually going?
  2. Zero Commitment Discounts. 100% of compute workloads sat on full on-demand pricing — no Reserved Instances, no Savings Plans, no negotiated discounts. They were paying sticker price for VMs, Data Explorer, App Service Plans, and Microsoft Fabric. Money left on the table, every single hour.
  3. Resource Bloat. Idle VMs running 24/7 in non-prod. Oversized instances crawling at <15% CPU. Unused disks, orphaned storage, and ghost resources from dead projects — all still billing.
  4. No Accountability. Zero tagging governance meant zero chargeback. Teams had no skin in the game. The cloud bill was just “IT’s problem” — until it wasn’t.
  5. Manual Reconciliation Hell. Finance burned days every month matching invoices to usage. Discrepancies, surprise charges, billing errors — spotted too late, paid anyway.
  6. No Guardrails. No budgets. No alerts. No anomaly detection. Cost spikes from misconfigurations and data overages only surfaced when the invoice landed — already due.

Our Solution and Implementations

Enkaytech proposed a structured, phased approach to implement a FinOps practice centered on Microsoft Governance and Advisory guidance. The solution was designed to address visibility, optimization, governance, and accountability in a single integrated platform.

 

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    Frequently Asked Questions

    FinOps major purpose is to discover savings opportunities after resources are in use, based on real usage and cost data.

    It does not automatically update the configuration to lower the costs, it identifies opportunities to improve efficiency and reduce costs.

    Enkaytech used FinOps, formatted cost data, Power BI reporting, and optimization analysis to identify opportunities across pricing commitments, workloads, storage, and resource utilization.

    The team optimized costs by leveraging Reserved Instances and Savings Plans, rightsizing VMs, automating shutdowns for non-production resources, removing unused assets, and optimizing storage tiers.

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