By industry
Complex operations, at a scale that punishes retrieval.
Large estates, heavy regulation and operational complexity — the conditions where flat retrieval gets more expensive and less accurate at exactly the wrong moment.
What goes wrong today
The problem in telecoms
- The more documentation accumulates, the worse and costlier retrieval over it becomes.
- Work spans many teams and increasingly many agents, with no shared view of what has been decided.
- Dependence on a single hosted model vendor is a concentration risk at this scale.
What you would do with it
The same platform, pointed at your problem
A budget that goes further as you scale
Distilled facts break the link between how much you know and what a question costs to answer.
Coordination across teams and agents
Work assigned, tracked and handed off between people and their AIs, with the reasoning landing back in the knowledge layer.
Your own model, your own terms
Bring the model you have chosen; inference stays your contract with your provider.
What changes
In terms your finance director recognises
AI spend that is predictable enough to budget
Fewer duplicated decisions across teams
No single-vendor concentration risk
The lead angle here is coordination, scale, independence — but the platform underneath is the same one on every page of this site. See how it works.
Other industries
Start with one team.
Small teams use Cornerstone free. No card, no sales call, nobody to approve it.