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FLAGSHIP ARCHITECTURE

Global Institutional Lending

Fintech Automated Underwriting & Intake Engine

Replaced manual underwriting choke points with an autonomous parsing infrastructure capable of cross-referencing multi-tiered business tax schedules, bank statements, and credit bureau reports under strict compliance mandates.

Industry
Financial services
Engagement
6 weeks · Retained
Delivered
2026
Automated underwriting dashboard showing the multi-agent intake graph and verification queue
Production deploymentVerified 2026

Measured impact

Outcomes, not activity.

Client-verified metrics

4.2 hrs → 90 secs

Processing Throughput

95.4% faster

99.8%

Extraction Accuracy

Verified AML & audit

$184,000+

Annualized Savings

Operational cost removed

The Problem

Where the existing system broke down.

A four-hour manual loan document review bottleneck delayed every application, created inconsistent extraction quality across reviewers, and exposed the lender to avoidable compliance risk during peak intake periods.

What changed after delivery

  • Every loan document reviewed against the same policy version.
  • Audit-ready evidence trail for AML and credit decisions.
  • Reviewer capacity redirected to exceptions instead of data entry.
The Architecture

A system designed for production pressure.

A deterministic multi-agent LangGraph workflow orchestrates document classification, OCR extraction, cross-document reconciliation, and policy validation. Every agent step is checkpointed to Postgres, sensitive documents stay inside a zero-retention private cloud boundary, and approved outcomes sync bi-directionally with Salesforce and the core ERP.

01

Intake & classification

Bank statements, tax schedules, and credit reports are fingerprinted, virus-scanned, and routed to the correct extraction agent before any human review.

02

Hybrid RAG extraction

Pinecone hybrid retrieval grounds each extraction against lending policy, historical decisions, and AML controls with citation-level traceability.

03

Human-in-the-loop controls

Low-confidence fields escalate to a reviewer queue with the exact source page highlighted, while every override is written to the audit log.

04

ERP and CRM sync

Bi-directional webhooks push approved deals into Salesforce and the servicing ERP with idempotent retries and replay-safe event IDs.

Tech stack

LangGraphClaude 3.5 SonnetPinecone Vector DBFastAPIPostgreSQLDocker
Client testimonial · 5.0 / 5.0
“GrowBig IT compressed a four-hour underwriting review into seconds without compromising a single audit control. Their engineers understood compliance better than vendors we had used for years.”
RK

Rafiqul Karim

VP of Digital Operations, Global Institutional Lending

Architect a similar system

Bring us the bottleneck. We will design the architecture.

Share your current constraints and we will map a 30-day execution plan with the same senior engineers who delivered this build.

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