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

Measured impact
4.2 hrs → 90 secs
Processing Throughput
95.4% faster
99.8%
Extraction Accuracy
Verified AML & audit
$184,000+
Annualized Savings
Operational cost removed
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.
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.
Bank statements, tax schedules, and credit reports are fingerprinted, virus-scanned, and routed to the correct extraction agent before any human review.
Pinecone hybrid retrieval grounds each extraction against lending policy, historical decisions, and AML controls with citation-level traceability.
Low-confidence fields escalate to a reviewer queue with the exact source page highlighted, while every override is written to the audit log.
Bi-directional webhooks push approved deals into Salesforce and the servicing ERP with idempotent retries and replay-safe event IDs.
Tech stack
“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.”
Rafiqul Karim
VP of Digital Operations, Global Institutional Lending
Share your current constraints and we will map a 30-day execution plan with the same senior engineers who delivered this build.