A mortgage due-diligence firm reviewing loan tapes and collateral files on behalf of institutional buyers and securitisation desks, a business where accuracy and defensibility under audit are the product.
Analysts manually reviewed thousands of documents per deal: income verification, title, appraisal, regulatory disclosures, checking each against guidelines by hand. Throughput was capped by headcount, quality varied between reviewers, and deal timelines bent to staffing.
We built an AI-native diligence platform from the ground up. Agents ingest each file, extract and reconcile data, test it against the applicable guidelines and overlays, flag exceptions with citations, and assemble a review-ready package. Analysts shifted from reading every page to adjudicating the exceptions the system surfaces.
Wired into the loan origination system, the document management platform, and the firm's guideline library, with structured exports to the buyers' reporting formats.
Every finding carries a citation to the source document and the rule applied, so conclusions are defensible under audit. Data residency was held in-region, access is role-scoped with full logging, and the platform code was continuously scanned and remediated with Kolega DevSec. Controls aligned with SOC 2 and ISO 27001.
A 90% reduction in manual processes across the diligence workflow, measured over the first quarter in production against the pre-deployment baseline. The firm scaled review capacity without scaling headcount, and turned consistent, citation-backed output into a competitive advantage.