By department
More from the AI budget you already have.
Most enterprise AI budgets have the same problem: cost rises with adoption and nobody can forecast it, because every question drags more text through a model.
What goes wrong today
The problem in finance
- Spend scales with usage and with the size of the knowledge base, so the better it works the more it costs.
- Per-question cost varies enormously, which makes it impossible to price or forecast.
- Figures produced with AI assistance cannot be traced to their source when challenged.
What you would do with it
The same platform, pointed at your problem
Cost that holds flat
Distilled facts break the link between how much you know and what a question costs.
A cost you can budget
Cost per question stays inside a narrow band rather than swinging with whatever document happened to match.
Numbers with a source
A figure arrives with the document, author and date behind it.
What changes
In terms your finance director recognises
AI spend that can be forecast and defended
No token markup and no platform fee
Figures traceable when questioned
The lead angle here is predictable cost and defensible numbers — but the platform underneath is the same one on every page of this site. See how it works.
Start with one team.
Small teams use Cornerstone free. No card, no sales call, nobody to approve it.