Document intelligence for fintech.
A three-day manual review, done in minutes. We built an extraction pipeline that reads contracts and statements, structures the data, and flags risk — turning a fintech's biggest bottleneck into a background process.
A bottleneck made of PDFs
Every loan application arrived as a stack of documents — contracts, bank statements, pay slips, IDs — in dozens of formats. A team of analysts read each one by hand, keyed the data into the system, and checked it against policy. The process took up to three days per applicant and was the single biggest drag on the company's growth.
It was also error-prone and impossible to scale: every new market meant hiring and training more reviewers for work that was mostly mechanical.
Structure first, judgement second
We split the problem in two. First, reliable extraction: turn any document into clean, structured, validated data. Second, policy reasoning: apply the lender's rules and surface anything that needs a human eye.
In a regulated domain, "looks right" isn't good enough — so every extracted field carries a confidence score and a link back to the exact place in the source document it came from. Reviewers stopped reading documents and started reviewing exceptions.
The system
- An ingestion layer that normalizes PDFs, scans, and images, with OCR fallback for low-quality inputs.
- A schema-constrained extraction pipeline that returns typed, validated fields — never free text where a number belongs.
- Source-grounding so every value links to its location in the original document for instant audit.
- A policy engine that flags risk and routes only exceptions to human reviewers.
- Continuous evals on a golden set of documents, with drift alerts when accuracy moves.
"We went from staffing reviews to supervising them. The same team now handles ten times the volume, and the audit trail is better than anything we had manually."
Minutes, not days
The pipeline now processes around 10,000 documents a day, with field-level accuracy of 99.2% measured against analyst review. End-to-end turnaround dropped from up to three days to roughly eight minutes.
Beyond speed, the company unlocked growth it couldn't staff for before — new markets now launch without a hiring spree, and every decision comes with a complete, source-linked audit trail.