How Innovaccer Improved Its MRR-to Cloud Cost Ratio with Opslyft

30% reduction in annual cloud costs| 35% improvement in MRR-to-Cloud-Cost ratio. 560+ hours saved every month.

That’s the scale of transformation Innovaccer achieved with Opslyft, turning complex cloud sprawl into a predictable, measurable, and efficient FinOps operation.

As Innovaccer CTO Ankit Maheshwari said:

“The dashboards provided predictive insights for month-end and quarter-end forecasts, letting us pre-emptively predict gross margins before they hit."

The Challenge:

As the leading healthcare data and analytics platform, Innovaccer manages 54M+ patient records across 1,000+ locations, running workloads on AWS, Azure, GCP, and Snowflake.

But operating a single-tenant architecture (one cloud account per customer) came with major cost management hurdles.

• Manual Cost Management Overhead: FinOps teams were spending hours each week consolidating data from multiple clouds into spreadsheets just to calculate cloud cost as a % of MRR.
• Limited Visibility: Shared cost structures made it hard for engineering and finance teams to see how each customer environment affected margins.
• Complex Optimisation: With 70+ customer accounts and separate infrastructures, identifying the right optimisation opportunities was like finding a needle in a haystack.
• Margin Pressure: To meet profitability goals, Innovaccer aimed to keep cloud spend below 15% of MRR, but lacked automation and real-time insights to get there.

The Solution: Turning Observability into Action

Opslyft became the central system of record for Innovaccer’s cloud cost and business metrics, helping the team align financial and operational goals across every customer.

• Unified Multi-Cloud Dashboard: Consolidated cost data from AWS, Azure, and Snowflake into one platform, eliminating Excel-based tracking and enabling real-time visibility.
• Intelligent Budget Management: Cloud cost budgets were directly tied to each customer’s MRR target, creating measurable accountability across customer success and product teams.
• Automated Optimisation Intelligence: Opslyft surfaced underutilised resources across all accounts, prioritised by potential dollar savings and business impact.
• Application-Level Financial Visibility: Teams could now analyse cloud costs per application, making optimisation decisions that directly improved gross margins.

The Impact: Financial Visibility at Scale

The results were both operational and strategic, turning FinOps from a cost-reporting exercise into a business advantage.

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The Impact:
From Manual FinOps to Measurable Outcomes

• ✅30% Cloud Cost Reduction achieved within 12 months
• ✅35% Improvement in Cloud Cost-to-MRR ratio
• ✅ 8 hours saved per month for each of the 70+ employees previously involved in manual reporting
• ✅ Data-Driven Decision Making at every level, from customer success to finance leadership
• ✅ Shift from Reactive to Proactive FinOps, empowering teams to plan, predict, and optimize continuously