AI Cost Management
Full visibility, optimization, and governance for every dollar of cloud and AI spend.
- Cost & Operations Management
Bring teams, models, knowledge and systems together around the work
Enterprise AI Platform
AI Intelligence & Models
AI Assistant & Productivity
Agent Platform & Orchestration
//Cost 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.
AI costs
Spot overpowered models, bloated prompts, and retry loops, then fix the waste before it compounds.
Engineering efficiency
Every AI session tied to a developer, with spend flagged when it outpaces what they ship.
Cloud costs
Cost anomalies the moment they happen, broken down by provider.
//Overview
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
Can you break down my daily AI costs 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
Idle VMs and Kubernetes workloads stopped automatically and restarted on demand.
The right Reserved Instance and Savings Plan mix across AWS, Azure, and GCP, re-optimized as usage shifts.
Every dollar mapped to its team, workload, model, or agent.
Real-time budgets per team, with alerts before month end.
Cost allocation by team, cost center, and business unit.
Tokens burned on work that never shipped, surfaced.
//Explore more withDataObserve
Full visibility, optimization, and governance for every dollar of cloud and AI spend.
Spend captured at the token, request, and workflow level, tied to the agent, session, or business outcome that triggered it.
Cost anomalies the moment they happen, broken down by provider, with idle resources, rightsizing and commitments handled automatically.
DORA metrics, developer productivity, and AI tool spend, tracked together.
//Spend control
The agent recommends, waits for approval, or acts on its own, scoped by team, workload, or budget.
Spend limits and approved-model policies by team, enforced in real time.
Describe a rule in plain English and it becomes an enforced policy across AWS, Azure, and GCP.
//FAQs
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
Review security, data handling and deployment requirements with our team.
Keep sensitive information within your organization’s approved data boundaries.
Define who can access connected data and which actions require approval.
Plan deployment around your infrastructure and operational requirements.
