Financial Services
The financial sector is under intense pressure. The accumulation of regulations, from the new pension law and Wwft to the extensive CSRD reports, requires enormous capacity. This is often solved by hiring more people, but that model is no longer sustainable. Laava has chosen a different route. We use Generative AI to automate heavy compliance processes. Not by cutting corners, but by building intelligent systems that analyze faster, more consistently, and more thoroughly than is humanly possible.
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
2
published case studies in this industry
2
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.
CSRD Narrative Drafting Assistant
AI drafting assistant for sustainability teams that turns ESG data and CSRD requirements into structured first drafts, so reporting starts from a grounded narrative instead of a blank page.
AI-Assisted KYC Screening
KYC screening workflow that checks clients against sanction lists and public sources, then produces structured risk profiles analysts can review instead of building every dossier from scratch.