NOVA | AI-Powered FinOps & Cloud Cost Optimization for AWS

For most organizations, cloud cost optimization is stuck in a loop. A cost spike hits. Experts are brought in. They review, analyze, and implement fixes. Savings are realized. Then teams drift, processes slip, and the next spike is already on its way. Every round of that cycle consumes time, budget, and effort that could be avoided.

NOVA breaks the cycle. NOVA (Next-generation Optimization Virtual Agent) is the financial and governance engineering pillar of ATLAS, Nagarro's Agentic AI-powered Transformation and Automation System. Its ecosystem of 25+ specialized AI agents continuously analyzes your cloud environment and surfaces optimization opportunities as they emerge, not after they become problems. Periodic expert-led reviews become always-on optimization, with humans in the loop for every decision that matters.

FINOPS FOR AI AI workloads are among the fastest-growing items on the cloud bill, and most cost tools were never built to see them. NOVA was.

• See every dollar of AI spend: Amazon Bedrock, Amazon SageMaker and direct providers such as OpenAI, Anthropic, and GitHub Copilot, covered through 20+ source adapters.
• Catch shadow AI early: automated discovery of unsanctioned AI tools and API usage before they become a budget or compliance problem.
• Stop runaway costs in seconds: three layers of protection, from a gateway circuit breaker to cloud metric monitors to preventive guardrail recommendations.
• Prove the ROI of GenAI: AI-specific budgets, tagging rules, anomaly detection, and benchmarking that tie AI spend to business outcomes.

FROM REACTIVE TO ALWAYS-ON

• Continuous cost visibility instead of periodic reviews: daily billing ingestion with a cost explorer that slices spend by AWS account, service, region, and tag, down to the line item.
• Root cause in minutes, not hours: anomalies are detected in real time and traced across deployments, scaling events, and infrastructure changes, so you get the cause, not just an alert.
• Savings that last: recommendations for rightsizing, Reserved Instances and Savings Plans, cleanup, and storage optimization evolve as your environment changes, backed by 150+ AWS expert checks and tracked against actual realized savings.
• AWS compute and GPU optimization: Identify rightsizing, utilization and scaling opportunities across AWS compute and GPU workloads.
• Forecasts you can plan against: AI-powered spend forecasts with confidence ranges for 30, 60, and 90 days, spend alerts, and what-if simulations for commitments and growth.
• Governance built into the workflow, not bolted on: policy enforcement, 300+ automated compliance checks, approval workflows, access controls, and audit trails.
• A FinOps assistant that speaks your language: ask questions in plain English and get answers grounded in your live cost data.

RESULTS CUSTOMERS SEE

• 15 to 30% overall cost reduction, typically within 90 days.
• Up to 50% savings on targeted workloads, where idle capacity and overprovisioning are the biggest offenders.
• Root cause analysis reduced from hours to minutes.
• 300+ automated compliance checks running continuously.

ARCHITECTURE NOVA deploys in your environment (Amazon EKS-ready with Helm charts and Terraform modules), so your cost data stays with you, under your own security and networking standards. Human-in-the-loop by design: agents investigate and recommend, your teams approve and act, with enterprise-grade multi-tenancy, row-level security, RBAC, SSO, and dashboards adapted to Executive, FinOps, Engineering, and Analyst roles.

ENGAGEMENT MODEL Nagarro delivers NOVA through structured professional services engagements, starting with a complimentary assessment: let NOVA's agents analyze your environment, and we will walk you through the findings, blind spots, and savings you did not know existed. Based on those findings we provide a prioritized implementation roadmap and a private offer aligned to your AWS footprint. Engagements are governed by Nagarro service terms attached to each private offer (SOW-based).