The AI-Powered Mortgage Broker Assistant is a sophisticated enterprise solution developed for eThink Solutions' mortgage broker client. This system leverages Amazon Bedrock's advanced AI capabilities to transform how mortgage brokers access and utilize procedural knowledge, significantly improving operational efficiency and decision-making speed.
Key Features
- Intelligent Document Processing: Automated ingestion and indexing of 150+ mortgage broker documents
- Multi-Modal Query Classification: AI-powered routing system categorizing queries into 8 specialized categories
- Vector-Based Knowledge Retrieval: Semantic search across mortgage procedures, checklists, and compliance documents
- Real-Time Response Generation: Claude 3 Haiku integration for contextual, citation-backed responses
- Duplicate Detection Pipeline: Automated document deduplication and quality control
- Multi-Interface Access: Web interface, API endpoints, and workflow automation integration
Technical Architecture
The system employs a sophisticated multi-layer architecture designed for scalability and reliability:
- Document Pipeline: OneDrive → S3 → Processing → Knowledge Base indexing
- Query Flow: Classification → Retrieval → Generation → Response delivery
- Multi-Node Processing: Intelligent routing based on query intent and document type
- Source Tracking: Full traceability from response to source document with citations
Business Impact
- Workflow Automation: Reduced manual document lookup time by 80%
- Knowledge Democratization: Instant access to complex mortgage procedures for all staff levels
- Compliance Support: Automated access to regulatory requirements and audit procedures
- Training Enhancement: Self-service knowledge base for new broker onboarding
- User Satisfaction: Demonstrated 90%+ user satisfaction in testing phase
Technical Implementation
The project showcases advanced implementation of AWS Bedrock services:
- Amazon Bedrock Knowledge Base: Vector storage and semantic search capabilities
- Claude 3 Haiku: Fast, accurate response generation with source attribution
- Amazon Titan Embeddings v2: High-quality vector representations for semantic matching
- OpenSearch Serverless: Scalable vector database for similarity search
- AWS Lambda: Serverless document processing and query handling
- API Gateway: RESTful endpoints for system integration
- n8n Workflows: Automated document ingestion and processing pipelines
Dataset Creation
A comprehensive 409 Q&A dataset was generated from mortgage documentation, covering:
- REFI (Refinancing) procedures and requirements
- CONS (Construction) loan processes
- SMSF (Self-Managed Super Fund) loan procedures
- Document requirements and checklists
- Compliance and regulatory guidance
- Troubleshooting and error resolution
- Cross-document knowledge synthesis
Client Value (eThink Solutions)
- Delivered production-ready enterprise-grade AI solution
- Showcased advanced AWS Bedrock implementation capabilities
- Demonstrated expertise in document processing and knowledge management
- Provided scalable foundation for future AI initiatives
- Established best practices for AI-driven financial services
