In 1975, AI didn't have a budget line. Now it's one of your biggest
Your engineers are using more AI tools, more models, and more tokens every month. The spend is climbing — but the honest answer to "is it actually making us better?" is usually a shrug.
That's where Span comes in. We help engineering leaders manage AI spend with context — seeing usage and cost by team, tool, model, and outcome, so you can tell where AI is creating real leverage and where it's just burning budget.
01
See how AI spend is trending
Monitor actual and projected AI spend, so you can spot budget pressure early and adjust before spend diverges from plan.
02
See the real model mix
Understand the actual mix of tools and models in use, and know where AI spend needs support — or a closer look.
03
Compare cost to impact
See team-level spend alongside throughput, cycle time, and quality — so you know where AI usage is creating leverage.
04
Connect spend to work
Trace AI spend to the PRs, projects, and initiatives it supports, so you can see where tokens are going and why it matters.
