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//Cost Management Agent

Your agent owns every dollarof cloud and AI spend.

Full visibility into cloud and AI spend, as the Cost Management Agent attributes, optimizes, and governs at the level of autonomy you choose.

  • AI costs

    Know what your AI actually costs

    Spot overpowered models, bloated prompts, and retry loops, then fix the waste before it compounds.

  • Engineering efficiency

    Spot overspending before it compounds

    Every AI session tied to a developer, with spend flagged when it outpaces what they ship.

  • Cloud costs

    Catch cloud waste before it adds up

    Cost anomalies the moment they happen, broken down by provider.

//Overview

What is a cost management agent?

A cost management agent is an AI agent that attributes cloud and AI spend to the teams, services and features that cause it, finds waste and acts on it, within the level of autonomy you choose.

The DataObserve Developer Cost Management Agent covers AI costs, cloud costs and engineering efficiency. It automates AutoStopping and commitments, handles chargeback and showback, detects anomalies and enforces budgets written in plain English.

//Ask the agent

Answers about spend,in plain language.

Can you break down my daily AI costs by provider?

Spend by provider

Which provider leads your spend, total AI cost this month and its trend, with daily averages per token, inference, and session.

//Key cost management features

Everything behind the Cost Management Agent

  • AutoStopping

    Idle VMs and Kubernetes workloads stopped automatically and restarted on demand.

  • Commitment Orchestrator

    The right Reserved Instance and Savings Plan mix across AWS, Azure, and GCP, re-optimized as usage shifts.

  • Unit attribution

    Every dollar mapped to its team, workload, model, or agent.

  • Budget and anomaly detection

    Real-time budgets per team, with alerts before month end.

  • Chargeback and showback

    Cost allocation by team, cost center, and business unit.

  • AI spend per shipped feature

    Tokens burned on work that never shipped, surfaced.

//Explore more withDataObserve

More from Developer · Cost & Operations Management

  • AI Cost Management

    Full visibility, optimization, and governance for every dollar of cloud and AI spend.

    • 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

//Spend control

Spend control your CFO will trust

  • Configurable autonomy

    The agent recommends, waits for approval, or acts on its own, scoped by team, workload, or budget.

  • Budget and policy enforcement

    Spend limits and approved-model policies by team, enforced in real time.

  • Natural language policy authoring

    Describe a rule in plain English and it becomes an enforced policy across AWS, Azure, and GCP.

//FAQs

Cost Management Agent: questions teams ask

  • Can the cost agent act without approval?

    Only if you allow it. The agent can recommend, wait for approval or act on its own, scoped by team, workload or environment.

  • What is AutoStopping?

    AutoStopping shuts down idle non-production resources and starts them again when they are needed, so you only pay for active use.

  • What is chargeback versus showback?

    Showback reports costs to the teams that caused them. Chargeback bills those costs to the teams' budgets.

  • Can cost policies be written in plain English?

    Yes. Describe a rule in plain English and it becomes an enforced policy.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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