Business Services
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
Where this usually breaks down
Document-heavy work still burns too much manual time
Where this usually breaks down
Handovers and approvals slow down execution and follow-up
Where this usually breaks down
Existing systems are present, but they do not work together intelligently
Operational context
Where this stands today
3
published case studies in this industry
3
featured examples on this page
1
concrete process needed to start well
0
need for loose AI hype or experiments
Featured case studies
Projects that show how this lands in practice.
Tenant Dossier Review Workflow
AI workflow for a large rental agency in the Randstad region that reads tenant documents, validates income and identity data against acceptance criteria, and explains every flag before a human makes the final call.
Tender Drafting from Internal Knowledge
AI tender workflow that turns an RFP into a structured first draft by matching requirements to internal case studies, CVs, and reusable proposal knowledge.
Contract Review Against Internal Playbook
AI review workflow that checks contracts against a firm's own playbook, flags deviations, and gives lawyers a usable first-pass risk summary before detailed review starts.