The best FinOps teams run on Finout

FINOPS FOR AI

AI lives in 4 Layers, Finout tracks them all

AI spend is scattered across tokens, models, and vendors. Finout unifies it, so Finance proves ROI, Leadership justifies budgets, and Engineering cuts waste.

LAYER 01 - Usually visible

Cloud AI services

Cloud AI costs get buried in your infrastructure bill. Finout pulls them out, down to cost per token by team or model. It connects to Bedrock and Vertex AI, no code needed, and alerts you before an agent loop burns the budget.
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AI Spend Management

Every AI dollar. Visible, allocated, controlled.

AI-powered assistance built in, so your team spends less time investigating and more time deciding. Specialized agents do the work, Billy answers the questions, and MegaBill keeps every dollar in context.
Analyze-the-past AI FOR FINOPS

Billy: Your AI FinOps assistant

Ask anything, drill down with follow-ups, and Billy proactively surfaces issues, freeing you for the actual work. Billy has full context on your environment, so every answer is live, account-specific.
See Billy in action
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Analyze-the-past FINOPS FOR AGENTS

Your agents in Finout's data

Every layer of Finout (the MCP server, cost API, Data Exporter) reads from the same governed Data Layer. Plug your agents in and they get everything they need to do FinOps.
Claude Cursor Any MCP tool Cost & usage API
See how it works
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AGENTS FOR FINOPS

Meet the agents

Your FinOps team just got 10x bigger. Specialized FinOps agents that work together to eliminate manual work and accelerate every phase of the cost lifecycle.

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Detection agent

Continuous discovery

Continuously scans cloud, Kubernetes, AI, and SaaS for waste, drift, and anomalies, surfacing the findings that actually matter to your bottom line.
That log group hasn't been queried in 90 days. You're still paying retention. Worth a look.
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Investigation agent

Autonomous RCA

Builds the full story behind every finding, root cause, blast radius, ownership, and history. Turning hours of manual RCA into minutes.
Cost jumped 4.2x last Tuesday. PR #4421 doubled the cluster. Owner: data-platform. Want the writeup?
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Orchestration agent

Closed-loop action

Bridges the gap between finding and fixing, routing every action to Jira, Slack, and ServiceNow, with governance, audit, and verification built in.
Approved. Opening Jira FIN-1184, assigning the team, posting to Slack, logging audit. Verify in 7 days.
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Quotation icon

I have witnessed firsthand the impact of this strategic partnership on our ability to make data-driven choices, reduce unnecessary cloud spending, and accelerate our innovation efforts.”

Vijay Kurra

Vijay Kurra

Lead Cloud FinOps & Analysis

Enterprise-grade security

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Enterprise-ready AI

Billy runs read-only, RBAC-scoped, and audit-logged inside your perimeter. Your policies and business context are applied before any answer is generated.
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Read-only access

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RBAC scoped

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Audit logged

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Data never trains a model

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Runs inside your perimeter

Resources
Learn more about FinOps.
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FAQ’s

01 Which AI, clouds and SaaS services does Finout support?

AWS, Azure, GCP, OCI, and Kubernetes out of the box, plus Snowflake, Databricks, Twilio, Confluent, Datadog, OpenAI Codex, Anthropic, and 40+ other SaaS and AI vendors. New connectors ship every few weeks — if you bill for it, we can showback it.

02 How does Finout track AI/token costs?

Finout connects directly to your AI provider APIs — OpenAI, Anthropic, and others — and breaks usage down by model, endpoint, and token count, not just the total invoice. MegaBill then allocates that spend to the team, product, or feature that generated it, giving you cost-per-token and cost-per-request visibility in real time instead of a single monthly total

03 How long does it take to get value?

Most teams see their first anomaly and unit-cost view within 48 hours of connecting their first billing account. Full multi-cloud allocation and chargeback typically lands inside the first two weeks.

04 Do the agents take action on my infrastructure?

Only when you let them. The Orchestration Agent proposes changes — rightsizing, commitment purchases, idle cleanup — and routes them through your existing approval flows in Slack, Jira, or ServiceNow. Auto-apply is opt-in per workflow.

05 How is Finout different from native cloud cost tools?

Native tools stop at the edge of one cloud. Finout unifies cloud, Kubernetes, SaaS and AI spend in one model, with shared allocation rules, MegaBill billing logic and agents that work across all of them — not just one vendor's console.

06 Is my billing data secure?

SOC 2 Type II, ISO 27001 and GDPR compliant. Data is encrypted in transit and at rest, isolated per tenant, and never used to train shared models. EU and US data residency available.

07 How does pricing work?

A flat platform fee based on the spend you manage — no per-seat charges, no surprise overages when you add a new cloud or a new team. Talk to us for a quote scoped to your environment.