We built AI agents that reduce mortgage processing from 18 days to 3–5
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Most mortgage processing delays aren’t due to risk — they’re due to manual workflows.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 timelinesHeavy manual document handling (500+ pages per loan)Repetitive data entry + verification loopsUnderwriters spending hours on non-decision workSo we built a set of AI agents that handle the operational layer:Document AI (IDP) → classifies + extracts data from loan docs in minutesIncome analysis models → parse tax returns, payslips, and variable incomeVerification integrations → real-time employment + financial checksAI-assisted underwriting → pre-validates files and generates conditionsCompliance engine → continuously checks against regulatory rulesWhat we’re seeing in production:End-to-end processing: ~18 days → 3–5 daysData extraction accuracy: 97%+Underwriting review time: 3–4 hrs → <45 minsCost 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 lifecycleBetter handling of edge cases (self-employed borrowers, non-QM loans)Explainability in underwriting decisionsWould love feedback from folks in fintech, lending, or anyone building AI systems in regulated environments.
HN · launched Mar 18, 2026 · 7 upvotes (top 59%) · 0 views
Niche: lending and credit risk management software · 48 launches, 5 in the last 7 days · Explore this niche →
Category and tags
- Fintech
- Agent / copilot
- B2B
- AI-native
- Commercial product
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More like this: all 48 launches in lending and credit risk management software →
Could you build this?
No Automating mortgage processing demands deep regulatory compliance (TRID, RESPA, Fair Lending), integrations with proprietary enterprise Loan Origination Systems, and zero-error document verification that AI vibe coding cannot reliably deliver.
What it would actually take: A production implementation requires a microservices architecture integrating with legacy LOS systems (such as ICE Mortgage Technology Encompass) via secure APIs. The pipeline demands specialized financial document parsers, audited human-in-the-loop validation, deterministic compliance rule engines, SOC 2 Type II security, and rigorous banking data governance led by mortgage underwriting domain experts.
Discussion
4 comments analyzed.
Concerns raised: Proving reliability and auditability at scale in regulated domains, AI blackbox effect creates legal problems in contested decisions, Automated decisions must be auditable with clear rule tracking, Regulators require detailed decision logs and audit trails
Feature requests: Explainability and audit log visibility for human decision-makers, Track which ruleset version was applied and when rules changed, Show specific decision path and reasoning for AI flags
Competitors
Other products that read as similar to this one : 676 launches clear the similarity bar, closest 8 shown.
Attention rank: #313 of 677 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 138 days after the earliest competitor.
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- Accend For Banking · yc · 2026-03-25 · 6 upvotes · similarity 0.56
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- Sei AI - Operations Partner for Mortgage Lenders & Servicers · yc · 2026-06-05 · 4 upvotes · similarity 0.53
- Definite - Turn weeks of regulatory reports into hours. · yc · 2026-07-15 · 10 upvotes · similarity 0.52
- Levocred: AI platform for credit funds, fintechs and banks · yc · 2026-08-11 · 5 upvotes · similarity 0.51
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