// ai cost visibility
Can you say where your AI spend goes?
Most teams can’t. Seats on one card, API keys on another, usage nobody owns. Sage attributes every model call to a team, project and run — and routes simple work to cheaper models.
// sound familiar?
Three signs your AI spend is out of view.
- 01The bill arrives as one number.Licences and API usage, with no link to the work they paid for.
- 02Nobody can split it by team or project.So nobody can say whether it’s worth it.
- 03Everything runs on the most expensive model.Because nobody decided otherwise.
Why it happens: each tool bills its own way, and nothing sits between your teams and the models to measure, attribute or route the calls. It’s a system gap, not a tool gap.
// how sage fixes it
Every call measured. Every dollar attributed.
- model railOne governed route to every modelEvery call is metered and attributed to a team, project, workflow and run.
- model policyThe right model for each taskA fast model for assessment, a stronger one for design decisions, the strongest only for security checks.
- dashboardSpend against budget, liveLeadership sees cost per day, per project and per run — and when you’re over pace.
Models registry
// spend and latency per model · 30 days
modelproviderspendp50
claude-sonnet-4Anthropic$2141.4s
claude-haiku-4Anthropic$840.4s
gpt-4o-miniOpenAI$620.4s
gemini-2-flashGoogle$480.6s
Add requirement · story 3
// cost per step, per run
Input assessment · haiku-4$0.008
Story decomposition · sonnet-4$0.024
Estimated run total$0.058
ai cost · 24h · team dashboard
$28.40
↑ $4.10 over budget pace
// from the Sage Runner demo · demo data