Case Study: LLM Orchestration for Financial Services
Industry: Services
September 14, 2020
Key Business Impact
Before & After
Before: Hundreds of hours spent manually reviewing financial documents. After: Agentic AI extracts data instantly.
Quantified Metrics
- Contract review time reduced from 4 hours to 10 seconds
- 99.8% extraction accuracy
Cost Savings & ROI
Saved 40,000+ manual labor hours annually.
Security Enhancements
Deployed on-premise private LLM to guarantee data privacy.
Case Study: LLM Orchestration for Financial Services
Client Profile: A major Enterprise Investment Bank.
The Gap: Manual Data Extraction
Analysts were spending 40% of their work week manually reading through 200-page loan agreements to extract key clauses, covenants, and interest rates. This manual process was slow, prone to human error, and expensive.
The Solution: Private Agentic AI
TechnoPlanet engineered a Retrieval-Augmented Generation (RAG) pipeline utilizing a private, self-hosted Large Language Model (LLM). This ensured strictly confidential financial data never left the bank's secure perimeter.
The Results: Superhuman Velocity
The AI agent now processes complex legal documents in seconds, accurately highlighting key risks and extracting structured data directly into the bank's database.