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We built AI agents that reduce mortgage processing from 18 days to 3–5

Details

External ID
47425482
Source
HN
Company
—
Product
We built AI agents that reduce mortgage processing from 18 days to 3–5
Website domain
simplai.ai
Launched
March 18, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.4108241082410824
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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.

Enrichment

Theme
AI agents for business operations
Vertical
Fintech
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai agents for mortgage processing
Manually corrected
False

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 — 245 launches clear the similarity bar, closest 8 shown.

Attention rank: #123 of 246 (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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