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AI-Powered FinOps for Smarter Cloud Spending
A next-generation FinOps platform that brings together AI-driven forecasting, real-time AWS discovery, automated approval workflows, and budget intelligence into one unified system. Transform complex cloud cost data into clear decisions your teams can act on instantly.
Architecture
A modular, cloud-native architecture combining real-time AWS discovery, agentic AI reasoning, structured approval workflows, and unified dashboards.
Capabilities
What DemandOps does, in the terms your engineers will evaluate it on.
Continuously discovers your AWS environment to provide up-to-date cost visibility across Compute, Storage, Network, Database, and AI/ML services.
Agentic AI that understands natural language cost queries and generates precise predictions — ask questions like "What will 2 EC2 large instances with 20GB storage cost monthly?"
Structured approval workflows that improve team collaboration — upload resource plans, get instant cost computation, and route decisions to the right stakeholders.
Every cost metric in one clear interface — current inventory, forecasting results, billing analysis with tax modeling, and team decision tracking.
Real-time budget monitoring with intelligent alerts for overuse, budget breaches, and high-growth services — giving leaders a single source of truth for cloud financial governance.
AI-generated recommendations for right-sizing, Reserved Instance purchases, spot instance usage, and storage class optimization — with estimated savings for every suggestion.
Use Cases
Patterns our clients run in production today.
Give CTOs and CFOs clear visibility into cloud spend, savings opportunities, and budget health with AI-driven forecasts and automated reports for faster decision-making.
Empower cloud engineers with real-time resource discovery, intelligent optimization tips, and automated approval workflows — reducing manual effort and cloud waste.
Streamline cost governance with detailed AWS service breakdowns, budget compliance checks, and a structured approval pipeline for resource requests.
Track and optimize AWS Bedrock, SageMaker, and other AI/ML service costs as GenAI adoption scales — prevent runaway spending on model inference and training.
Ecosystem
Deep integration with the AWS ecosystem — from compute and storage to AI services and identity management.
Technology
Schedule a demo to see DemandOps working against your data, and talk through what deployment looks like.