We’ve been working on SimplAI, an AI-driven system designed for banking and financial services, starting with mortgage operations.

The problem we kept seeing:

15–22 day processing timelines

Heavy manual document handling (500+ pages per loan)

Repetitive data entry + verification loops

Underwriters spending hours on non-decision work

So we built a set of AI agents that handle the operational layer:

Document AI (IDP) → classifies + extracts data from loan docs in minutes

Income analysis models → parse tax returns, payslips, and variable income

Verification integrations → real-time employment + financial checks

AI-assisted underwriting → pre-validates files and generates conditions

Compliance engine → continuously checks against regulatory rules

What we’re seeing in production:

End-to-end processing: ~18 days → 3–5 days

Data extraction accuracy: 97%+

Underwriting review time: 3–4 hrs → <45 mins

Cost per loan: reduced by ~40–50%

We’re not replacing underwriters — we’re removing the operational bottlenecks around them.

Still early, but we’re exploring:

Agent-based workflows across lending lifecycle

Better handling of edge cases (self-employed borrowers, non-QM loans)

Explainability in underwriting decisions

Would love feedback from folks in fintech, lending, or anyone building AI systems in regulated environments.