Agentic AI-powered cloud cost optimization

Are fragmented data and disconnected insights making cloud cost spikes harder to detect, explain, and control?

NOVA remedies that with a unified intelligence pane for engineering, finance, and operations, continuously refreshed with role-specific intelligence tied to cost visibility, governance, and action.

It aggregates spend across AWS, Azure, GCP, Databricks, and Snowflake, while an AI optimization engine runs 150+ expert checks, traces anomalies to their origin, and brings in-built governance through policy management, compliance scanning, maturity scoring, and 90-day forecasting. 

NOVA is the financial and governance-engineering pillar of ATLAS, Nagarro's agentic, AI-powered transformation and automation system. 

Multi-cloud coverage    

A single, unified view across all clouds and data platforms 

AI resilience    

Delivers full analysis even without AI and breakdowns

Recommendation quality    

Replaces static suggestions with continuously improved through layered intelligence

Continuous optimization    

Always on monitoring with recommendations that evolve with the environment

Governance integration    

Every policy decision is tied to financial impact

Enterprise readiness    

Database level tenant isolation, persona-specific views and deployable anywhere

CFO/Executive

Strategic trends, business impact summaries, board-ready governance reports, and 90-day cost forecasts in real-time.

FinOps

Automated daily cost sync, anomaly alerts within 24 hours, AI-generated recommendations with implementation steps, and a measurable maturity progression framework.

Platform & DevOps engineers

Kubernetes fleet visibility, per-namespace cost attribution, GPU utilisation tracking, CIS benchmark compliance, and automated dev cluster schedules.

Engineering teams

Per-service cost visibility, step-by-step implementation guidance, risk and effort estimates, and what-if scenario modeling for infrastructure changes.