Outlay.ai
The control plane for AI compute spend

Put AI compute on a budget.

Outlay attributes every dollar of LLM and coding-agent spend to the work you already plan — tickets, epics, roadmap — forecasts the quarter, and lets you enforce a budget per program. Read-only to start; your prompts and keys never leave your environment.

Read-only · metadata-only · BYOK · no app rewrite

Works with your stack
Anthropic / ClaudeClaude CodeCursorOpenAI / AzureAmazon BedrockGoogle Gemini / VertexGitHubJiraLinear

How it works

1

Connect, read-only

Bring your own keys to your AI provider and your tracker (Jira / Linear / GitHub). Outlay reads usage metadata only — token counts and dollar figures. Prompts, outputs, and keys never leave your environment.

2

Attribute & forecast

Every dollar of LLM and coding-agent spend is mapped to the ticket, team, and person that drove it — then Outlay forecasts the quarter and prices your open backlog, with accuracy back-tested on your own closed work.

3

Enforce

Set budgets and hard program caps across teams, get route-down recommendations to cheaper models where they're provably good enough, and enforce before you overspend — not at month-end.

Why the number is trustworthy

Cache-aware costing

Outlay prices every token class separately — cache reads bill at ~1/10th. Naive trackers that count raw tokens overstate cache-heavy agentic spend several times over.

Accuracy you can check

We don't ask you to trust a vendor benchmark. The forecast is back-tested leave-one-out on your own closed tickets, and we always show the measured error.

Reconciled to the invoice

Every fidelity tier is shown so the total ties out to your provider's billed figure. A number business can take to the board.

Built metadata-only and read-only. No prompts, outputs, or API keys ever leave your environment.

Read-onlyMetadata-onlyBYOKSSO / OIDCSCIM2FAAudit log + SIEM exportWCAG 2.1 AA

See your AI spend mapped to your roadmap.