Shared agentsCost Management Agent
Full visibility into cloud and AI spend, as the Cost Management Agent attributes, optimizes, and governs at the level of autonomy you choose.
- Cost & Operations Management
//AI Cost Management
Cost management for everydollar and every model.
Full visibility, optimization, and governance for every dollar of cloud and AI spend.
Inform
Understand what's driving spend
Every dollar mapped to the team, workload, model, and agent behind it, with no manual tagging.
Optimize
Automatically reduce waste
Idle resources detected, workloads rightsized, and commitment coverage optimized automatically.
Operate
Safely scale cloud and AI usage
Budgets, approvals, and AI-authored policy guardrails enforce spend controls before overruns.
//Overview
What is AI cost management?
AI cost management is the FinOps practice of making AI and cloud spend visible, allocating it to the people and products that use it, cutting waste and governing usage as AI adoption grows.
DataObserve Developer covers the full FinOps cycle (Inform, Optimize and Operate) for AWS, Azure, Google Cloud and Kubernetes, adds tokenomics for model spend, supports the FOCUS standard and automates commitments with Commitment Orchestrator.
//From visibility to governance
From visibility to governance, fully covered
AI cost management
Anomalies, plain-language spend answers, and forecasts across cloud and AI in real time.
Tokenomics
Token consumption tracked and optimized across models, providers, and teams.
Cost allocation & visibility
Chargeback and showback across AWS, Azure, and GCP.
Commitment Orchestrator
RI and Savings Plan purchases, renewals, and coverage automated.
Cost governance
Budget guardrails, approval workflows, and spend policies with audit trails.
Agent DLC support
Token and inference spend by agent, model, and team, with limits.
//Explore more withDataObserve
More from Developer · Cost & Operations Management
AI Costs
Spend captured at the token, request, and workflow level, tied to the agent, session, or business outcome that triggered it.
- Cost & Operations Management
Cloud Costs
Cost anomalies the moment they happen, broken down by provider, with idle resources, rightsizing and commitments handled automatically.
- Cost & Operations Management
Engineering Efficiency
DORA metrics, developer productivity, and AI tool spend, tracked together.
- Cost & Operations Management
//Use cases
AI Cost Management: use cases
FinOps programmes
Run Inform, Optimize and Operate across clouds and AI providers in one place.
AI budget control
Set spend limits and approved-model policies by team.
Commitment management
Buy and manage reserved instances and savings plans automatically.
Unit economics
Track cost per customer, feature or agent run.
//FAQs
AI Cost Management: questions teams ask
How does it support a FinOps practice?
Across Inform (visibility and allocation), Optimize (recommendations and automation), and Operate (governance).
Does it support FOCUS?
Yes, the FinOps Open Cost and Usage Specification for standardized reporting and data ingestion.
Which clouds are covered?
AWS, Azure, and Google Cloud in one view, with Kubernetes-native support across clouds.
What is FinOps?
FinOps is an operating practice that brings engineering, finance and business together to manage cloud and AI spend, across three phases: Inform, Optimize and Operate.
What is tokenomics?
Tokenomics is the measurement of AI model spend at the token level, so you can see what each prompt, agent and feature costs and compare models by cost per outcome.
