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.
