Key Business Impact

Reduces manual review effort and improves underwriting decisions with governed, auditable workflow.

Project Overview

Automated underwriting and credit risk assessment using GenAI to extract information from financial documents.

Technical System Architecture

Operational data flow and system architecture designed for this solution:

input

Loan Application

ai

GenAI Credit Analysis

process

Risk Decision

output

Auto Routing

Case Study & Delivery

Architected GenAI-powered risk analysis extracting data from bank statements with compliance-first approach.

Consulting Assessment & Strategy

As an AI consultant, the primary focus for this project was to establish a production-grade infrastructure that balances LLM performance, response latency, and system cost. This was achieved by introducing specific design patterns:

  • Agentic Orchestration: Decoupling tasks into dedicated specialized agents to reduce complexity and improve reasoning accuracy.
  • Custom Model Routing: Routing simple tasks to lightweight tier-2 models (e.g. AWS Nova Flash / Sonic) and reserving heavy reasoning for flagship models.
  • Security & Compliance Guardrails: Integrating strict input/output verification steps to prevent PII exposure and prompt injections.