See costs by team.
Bring spending across business units into one view. Follow a cost to its provider, billing period and budget owner before allocating it to a project or department.
See spending across your business ↗Bring AI costs across providers, business units and projects into one view. Explain a growing bill, forecast what comes next and decide which work deserves more investment.
Request a demoIllustrative examples. Your plan uses your costs, source records and agreed assumptions.
Bring spending across business units into one view. Follow a cost to its provider, billing period and budget owner before allocating it to a project or department.
See spending across your business ↗Connect provider usage to the projects, tasks and workflows it supports. See how people interact with AI and leave costs without enough evidence for review.
Connect AI use to work and projects ↗| Destination | Amount | Status |
|---|---|---|
| Customer portal | £160,000 | Allocated |
| Internal reporting | £80,000 | Allocated |
| Missing project | £12,000 | Needs review |
Compare periods and follow a change back to the work behind it. Give budget owners a forecast they can review before the month closes.
Explore shared AI budgets ↗Forecast against a £325,000 budget
| This month | Amount |
|---|---|
| Spent so far | £240,000 |
| Forecast remaining | £60,000 |
| Budget remaining at month end | £25,000 |
We agree which records, access and controls your workflow needs, then connect the relevant systems.
Explore all integrations ↗Track costs by business activity, budget variance and the return from defined workflows. Include review time, quality and running costs when you assess value.
Show us your tools and how you manage spending today.
Request a demoAn invoice shows what a provider charged. It may not explain which team, project or task benefited. Linking usage to work gives the cost a useful owner and purpose.
Keep them visible as unallocated or estimated, with the source and basis recorded. Do not distribute them across teams in a way that makes an estimate look observed.