Know exactly where your AI budget is going
AI-powered session classification
Every AI coding session is automatically analysed and classified. The Flowstate classifier examines prompts, file paths, git context, and tool usage to categorise the work and match it to the right project — so spend flows through to the correct cost center.
AI classifier categorises the work
The classifier figures out what work was done and matches it to a project via ticket IDs, branch names, and file paths.
Project cost center determines CapEx / OpEx
Once a session is attributed to a project, spend flows through to the project's cost center. You set CapEx or OpEx on the project — Flowstate handles the rest.
AI spend is growing — but nobody knows where it's going
Finance sees a growing "AI tools" line item with no way to attribute it to teams or projects. Engineering leaders can't answer basic questions: Which teams are driving the Copilot bill? Is our Claude API spend producing anything? Should we invest more in agents or more in people?
Without attribution, AI spend is a black box — and black boxes get cut first when budgets tighten.
Full visibility into AI spend
Provider-level breakdown
See spend by provider — GitHub Copilot, Anthropic, OpenAI, custom agents. Know exactly where each dollar goes.
Project attribution
AI spend is attributed to projects using ticket IDs, branch names, and file paths. Drill into any project to see per-session cost, category, and confidence.
Trend analysis
Track AI spend over time with date range selectors. Spot runaway costs before they become quarterly surprises.
Token-level detail
See input and output token usage per agent, per project. Understand not just what you're spending, but why.
Full picture from both ends
Flowstate pulls cost and usage metrics directly from AI providers, and captures session-level telemetry from developer machines — giving you a complete view of what's being spent and where it's going.
Provider API integrations
We pull billing and usage data directly from your AI providers, giving you the cost side of the equation without any agent installation.
Session telemetry CLI
Our open-source CLI identifies and configures telemetry on developer machines, regardless of the AI tooling they use. It captures session-level data for classification.
MDM-ready rollout
The Flowstate CLI identifies and configures telemetry on developer machines, regardless of the AI tooling they choose to use. Roll it out across your org with your existing MDM tooling — Jamf, Intune, Kandji, or plain shell scripts.
- Silent install via Homebrew or direct binary
- Auto-detects installed AI tools and configures telemetry hooks
- Zero-config for developers — no manual setup required
- Open source — audit the code, contribute, or fork it
Stop flying blind on AI spend
Book a demo and see exactly where your AI budget is going — and whether it's worth it.