How Digital.ai Reduced Idle AWS Spend 40% with Cloudchipr

About Digital.ai

Digital.ai is a leading provider of AI-powered DevOps solutions. Its platform connects portfolio and agile planning, testing, release orchestration, and application security with AI-driven insights - helping enterprises ship better software, faster.

Key Results

• 40% reduction in AWS costs
  
  
• $45,000 savings per quarter
  
  
• Cleaner cost footprint with simpler reporting for finance and engineering stakeholders

Challenge

Digital AI was facing escalating AWS costs due to unmanaged and aging resources. The Cloud-Ops team, with guidance from technical leadership, leveraged Cloudchipr to gain deeper cost visibility and implement proactive cleanup strategies with automation workflows.

Over time, legacy resources had accumulated, creating unnecessary overhead in AWS spend. Despite regular monitoring, the lack of granular insights into costs made it difficult to pinpoint inefficiencies or quantify potential savings from cleanup efforts.

Solution: Cloudchipr Implementation

In January 2025, Cloudchipr was adopted by the Cloud-Ops team at Digital.ai to analyze AWS cost data with precision. Cloudchipr’s intuitive dashboard and automated cost attribution features enabled the team to:

• Identify outdated and orphaned resources
• Model potential savings scenarios pre-cleanup
• Track post-cleanup cost impact at a granular level

• Visualize trends in a way that drove executive alignment

Outcomes

By late May 2025, Cloudchipr analytics showed a 40% reduction in idle resources costs.

Why It Worked

• Proactive Optimization: Enabled identification of redundant resources before they became a financial liability.
• Cross-Team Alignment: Cost transparency helped both engineering and finance align on goals.
• Operational Efficiency: Freed up budget that can now be redirected to innovation and scaling initiatives.
• Data-Driven Decisions: Real-time, actionable insights allowed the team to track changes and prove impact.
  
  

Customer Quote

“The positive impact of this effort is now clearly reflected in the Cloudchipr dashboard, showing a significant reduction in storage snapshots and associated costs.”
- Ramesh Chayapathi, Technical Leader, Digital.ai

Conclusion

The partnership with Cloudchipr empowered Digital.ai’s Cloud-Ops team to shift from reactive cost reviews to a culture of proactive cost optimization. This case highlights how strategic visibility into cloud costs can lead to tangible financial outcomes and operational maturity.