Operational context
In business services, the product is knowledge and the constraint is time. Hours still disappear into reading documents, drafting proposals, and checking contracts, work that follows patterns an agent can learn. On the Laava Platform, agents read, draft, and check inside your own systems and sources, while a professional makes the calls that matter. The hours go back to strategy, clients, and the work you actually bill for.
Where this usually breaks down
- Knowledge is scattered across inboxes, folders, and people
- Document-heavy work still burns too much manual time
- Handovers and approvals slow down execution and follow-up
- Existing systems are present, but they do not work together intelligently
Where this stands today
published case studies in this industry
featured examples on this page
concrete process needed to start well
need for loose AI hype or experiments
Featured case studies
Projects that show how this lands in practice.
From tenant documents to a clear case for review
A working pilot helps a rental agency read supporting documents, compare details and identify missing information. A member of staff makes the final decision on the tenant application.
Company Brain: everyone's digital colleague
A digital colleague that helps employees use what their company already knows. At a professional services firm, Company Brain makes existing knowledge accessible through everyday questions, so the team can get on with the work.