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Seyhun Akyurek
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Banking & Financial AI

Forge

Multi-agent loan processing on Microsoft Azure — document extraction, credit analysis, and underwriting decision engine.

Azure AI Foundry
Azure Cognitive Services
Azure Functions
Python
FastAPI
Azure Database for PostgreSQL
Cosmos DB
80% faster
Processing Time
96%
Approval Accuracy
99%
Fraud Detection
65%
Cost Reduction

Project presentation

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Live system presentation

Forge · Agent Mesh

ORCHESTRATORBanking & Financial AIIntakeACTIVECreditNODE 02UnderwritingNODE 03FraudNODE 04ComplianceNODE 0512345678
Step 1Instant

Application Intake

Customer submits application through web, mobile, or API.

Form submissionDocument uploadData extractionInitial validation

Technical Design

Multi-agent loan processing pipeline with LLM-powered underwriting. Specialized agents handle intake, credit analysis, fraud detection, and compliance in parallel.

System Components

Intake Service

Application parsing and document extraction

Credit Analyzer

ML-based credit scoring and risk assessment

Underwriting Agent

LLM-powered decision with explainability

Fraud Detector

Pattern-based fraud detection

Compliance Engine

Regulatory requirement validation

Data Flow

Application Intake
Document Verification
Credit Analysis
Fraud Screening
Underwriting Decision
Compliance Check
Document Generation
Funding

Technology Choice

Azure AI Foundry + LangChain

Azure AI Foundry provides compliant LLM hosting for financial decisions. LangChain orchestrates complex underwriting workflows with audit trails.

Alternatives Considered

AWS Bedrock + LlamaIndex, Custom ML + Semantic Kernel

Core Frameworks

Azure AI Foundry

LLM hosting for underwriting decisions

LangChain

Multi-agent workflow orchestration

Azure Functions

Event-driven processing triggers

FastAPI

Loan application API

Implementation Plan

Application Processing

4 weeks
  • Document extraction
  • Data validation
  • Completeness checking

Credit Intelligence

5 weeks
  • Credit scoring models
  • Income verification
  • Risk assessment

Underwriting Engine

4 weeks
  • Decision logic
  • Explainability
  • Policy matching

Compliance & Closing

3 weeks
  • Regulatory checks
  • Document generation
  • Funding workflow

Key Milestones

Application processing <5 minutes
Credit analysis >96% accuracy
Underwriting decisions <15 minutes
End-to-end processing <24 hours

Risk Mitigation

Human review for edge cases
Model fallback for complex applications
Continuous model validation against outcomes

Key Features

Application Processing

Automated loan application intake, document extraction, and data validation.

Credit Analysis

AI-powered credit scoring and risk assessment using multiple data sources.

Underwriting

LLM-powered underwriting decisions with explainable AI and regulatory compliance.

Fraud Detection

Real-time fraud detection using pattern analysis and anomaly detection.

Compliance Checks

Automated regulatory compliance checks across multiple jurisdictions.

Document Generation

Automated generation of loan agreements, disclosures, and compliance documents.

How It Works

1

Application Intake

Instant

Customer submits application through web, mobile, or API.

Form submission
Document upload
Data extraction
Initial validation
2

Document Verification

< 5 minutes

AI verifies submitted documents and extracts key information.

OCR processing
Document validation
Data extraction
Completeness check
3

Credit Analysis

< 10 minutes

Comprehensive credit analysis using multiple data sources.

Credit pull
Income verification
Debt analysis
Risk scoring
4

Fraud Screening

< 5 minutes

Automated fraud detection and identity verification.

Identity verification
Pattern analysis
Anomaly detection
Investigation
5

Underwriting Decision

< 15 minutes

AI-powered underwriting with explainable decisions.

Policy application
Risk pricing
Decision generation
Explanation creation
6

Compliance Check

< 5 minutes

Regulatory compliance verification and disclosure generation.

Regulation check
Disclosure generation
Audit trail
Compliance sign-off
7

Document Generation

< 10 minutes

Automated generation of loan agreements and supporting documents.

Agreement creation
Term sheet generation
Disclosure assembly
E-signature routing
8

Closing & Funding

1-2 days

Final review, approval, and funding of the loan.

Final review
Approval workflow
Funding initiation
Account setup

Multi-Agent Architecture

Intake Agent

Processes loan applications and extracts relevant information from submitted documents.

  • Application parsing
  • Document extraction
  • Data validation
  • Completeness check
  • Priority assignment

Credit Agent

Analyzes creditworthiness using traditional and alternative data sources.

  • Credit scoring
  • Income verification
  • Debt analysis
  • Alternative data
  • Risk assessment

Underwriting Agent

Makes lending decisions based on comprehensive risk analysis and policies.

  • Decision making
  • Policy application
  • Risk pricing
  • Condition setting
  • Explainability

Fraud Agent

Detects and prevents fraudulent applications using pattern analysis.

  • Pattern detection
  • Identity verification
  • Income verification
  • Anomaly detection
  • Investigation support

Compliance Agent

Ensures all regulatory requirements are met throughout the process.

  • Regulation checking
  • Disclosure generation
  • Audit trail
  • Reporting
  • Policy enforcement

Use Cases

Mortgage Processing

Automate mortgage application processing from intake to closing.

Personal Loans

Streamline personal loan origination with AI-powered decisions.

Commercial Lending

Process commercial loan applications with enhanced due diligence.

Auto Financing

Accelerate auto loan processing with instant decisioning.

Student Loans

Automate student loan application and approval processes.

SMB Lending

Streamline small business loan processing with automated underwriting.

Interested in Forge?

Get in touch to discuss how this solution can be tailored to your needs.