FinTech Automated Compliance Platform
Executive Summary
- The Challenge: A leading US financial advisory firm was drowning in manual compliance audits and lead qualification.
- The Solution: We engineered a secure, VPC-isolated MVP utilizing a Retrieval-Augmented Generation (RAG) architecture.
- The Impact: Significant reduction in operational overhead and measurable ROI.
Client identifiers anonymized under strict Non-Disclosure Agreements (NDAs). Performance metrics reflect architectural benchmark simulations.
The Challenge
A leading US financial advisory firm was drowning in manual compliance audits and lead qualification. Their legacy infrastructure required underwriters to manually review thousands of PDF tax documents and investment histories, leading to a massive 6-week backlog and a 30% drop-off in high-net-worth client acquisition. They needed an intelligent MVP to automate document ingestion without violating stringent SOC 2 and financial data privacy regulations.
The Solution Architecture
We engineered a secure, VPC-isolated MVP utilizing a Retrieval-Augmented Generation (RAG) architecture, delivered as part of our enterprise AI deployment solutions. We deployed open-source embedding models locally on AWS EC2 to process sensitive documents, ensuring data never left the perimeter. A custom Node.js orchestration layer routed document summaries to an LLM for real-time compliance scoring. Additionally, we implemented an intelligent lead scoring algorithm based on firmographics and historic investment behavior.
System Architecture & Tech Stack
The Impact & Key Results
- 90% Reduction in Manual Underwriting Time
- 6-Week Backlog Cleared in 4 Days
- 45% Increase in Qualified Lead Conversions
- Passed Third-Party Security Audit with Zero Critical Findings
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