Connect Claude Code, Cursor, and Copilot across your whole org in under ten minutes with no per-developer setup. The 70–80% of your AI bill that runs through engineering, finally itemized, tied to output, and under your control.
Claude Code
Claude Cowork
Cursor
Copilot
Gemini
Codex
Per-employee spend across every assistant, attribution coverage, top spenders, cost by tool, efficiency vs. team average, and cost per PR merged.
The bill climbs every month, and nobody can say which team, agent, or workflow drives it. When leadership asks what 500,000 tokens on a project actually got you, nothing in your stack can answer.
One mis-configured key can burn
$90K/week
One prompt can wander through
$10,000
of tokens and produce nothing
of enterprise AI spend runs through engineering. Almost none of it is attributed to the people, agents, and workflows generating it.
Identity-attributed spend across Claude Code, Cursor, Copilot, Gemini, and Codex, including cache and reasoning tokens, session counts, and duration. Subscription seats and API usage, side by side.
Join the OpenTelemetry stream to GitHub or GitLab and price the output, not just the input. $41.52 per PR against a $94.84 team average is a number you can coach with.
Who runs everything on the flagship model, and who's efficient with a mix? Per-user blended cost per million tokens, benchmarked against the team, with tier and seat optimization surfaced automatically. Set a per-developer flagship budget and overflow routes to lower-cost models automatically.
Every key, person, and team watched against its own pattern. The 3× spend jump with no usage increase, the retry loop, the dormant key, each flagged with a dollar impact before month-end. Enforcement fails open: if a gate can't be evaluated, traffic passes.
Provider dashboards show totals by key; observability tools count tokens. Neither can say who spent it, on what, or whether it was worth it, and neither can stop it. You could build the missing layer in a weekend, but real-time attribution across every provider, agent, and tool call, with enforcement, is not a weekend project.
The system of record for AI usage, cost, and unit economics, with controls to enforce economic guardrails in real time.
Chargeback by team, the full cost of agent decisions, and ROI per workflow, so budget review runs on evidence instead of instinct.