Carnot AI

Ask your cloud bill anything.

Carnot AI is a FinOps analyst that never sleeps. Ask questions in plain English and get answers grounded in your billing, usage, tags and Kubernetes data — with the numbers, the owners and the next step attached.

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Carnot AIGrounded in your billing, usage and tags

Beta

Why did our AWS bill jump last week, and who owns it?

Spend rose $48.2K (+11.4%) week over week. Three drivers explain 92% of it:

EC2 in prod-us-east-1 +$27.1K — ASG checkout-api min capacity raised in deploy #8812. Owner: Payments Platform.
NAT Gateway data transfer +$12.6K — new cross-AZ traffic from search-indexer.
Bedrock +$4.7K — doc-summarizer moved to a larger model on Tuesday.

Create 3 Jira tickets Share to #finops Open report

Ask about any cost, team, service or forecast…

Seconds

to answer questions that used to take an analyst a day

Cited

every answer links to the data and query behind it

MCP

server for Claude, ChatGPT, Cursor and your own agents

Capabilities

What you get with Carnot AI

Natural-language analysis

“Why did EC2 spend jump last week?” “Which team grew fastest this quarter?” Get answers, charts and drill-downs instantly.

Reports on demand

Generate executive summaries, team scorecards and variance explanations in seconds — then schedule them.

Actions from answers

Turn insights into Jira tickets, Slack messages or saved dashboards without leaving the conversation.

MCP server

Give Claude, ChatGPT, Cursor and internal agents secure, read-only access to your cost data via the Model Context Protocol.

Engineer-ready fixes

Get remediation prompts for Claude Code, Cursor and Copilot that include the resource, the change and the expected savings.

Private by design

Respects your RBAC, cites its sources and never uses your data to train shared models.

An analyst for everyone

FinOps expertise, available to every team

Most engineers and finance partners will never learn a cost tool. With Carnot AI they don’t have to — they ask a question and get an answer they can act on, scoped to the data they’re allowed to see.

Grounded in your allocation model and business hierarchy
Explains anomalies, forecasts and recommendations in plain English
Builds and saves charts and dashboards from a prompt
Available in the app, Slack and Microsoft Teams

Carnot AIGrounded in your billing, usage and tags

Beta

Why did our AWS bill jump last week, and who owns it?

Spend rose $48.2K (+11.4%) week over week. Three drivers explain 92% of it:

EC2 in prod-us-east-1 +$27.1K — ASG checkout-api min capacity raised in deploy #8812. Owner: Payments Platform.
NAT Gateway data transfer +$12.6K — new cross-AZ traffic from search-indexer.
Bedrock +$4.7K — doc-summarizer moved to a larger model on Tuesday.

Create 3 Jira tickets Share to #finops Open report

Ask about any cost, team, service or forecast…

Built for the agentic era

Plug cost intelligence into every AI workflow

The CarnotCloud MCP server lets your AI assistants and agents query costs, recommendations and anomalies securely — so cost becomes part of how your engineers design, review and ship.

Read-only tools with scoped API tokens
Works with Claude, ChatGPT, Cursor, Copilot and custom agents
Full audit log of agent queries
Prompt library for FinOps, engineering and finance tasks

Policies & workflowsGuardrails that run themselves

12 active

Require owner + cost-center tagsAll accountsEnforced99.4% compliant
Stop dev instances nights & weekendsdev-*, sandbox-*Automated$31K/mo saved
Alert when PR adds > $500/moGitHub · 214 reposActive38 PRs flagged

carnotcloud bot commented on #4182

Monthly cost impact: +$1,240 (↑ 3.2%) for payments-service

2 × r6i.4xlarge added in terraform/prod/rds.tf. Suggested: r7g.2xlarge (−$690/mo, same p95 headroom).

$186K spike stopped in 3 hours

“CarnotCloud flagged a runaway data pipeline at 7 a.m. on a Saturday, with the root cause and the owner already attached. That single alert paid for the platform for the year.”

Marcus L.Director of FinOps, Series D SaaS company

FAQ

Carnot AI: common questions

Is my data used to train AI models?

No. Carnot AI uses enterprise LLM endpoints with zero data retention. Your data is never used to train shared models.

How accurate are the answers?

Carnot AI runs deterministic queries against your cost model and shows the query and data behind every answer. The language model explains; the numbers come straight from your ledger.

Does it respect permissions?

Yes. Carnot AI and the MCP server inherit your role-based access controls, so users and agents only see the data they’re entitled to.

Keep exploring

See Carnot AI on your own data.

Book a 30-minute demo tailored to your stack, or start with a free savings assessment — read-only, no agents, no obligation.

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Read-only, agentless setup
First insights in 15 minutes
SOC 2 Type II & ISO 27001