The Challenge
A global fintech provider with over 1,000 employees had integrated a RAG system to support their internal compliance and risk assessment teams. While the system was technically impressive, it couldn't pass their Internal Audit.
The problems were clear:
- Hallucinations: 15% of responses contained unverifiable claims.
- Traceability: No easy way to show which document chunks led to which decision.
- PII Leakage: Occasional sensitive data appeared in generated summaries.
The Solution
The team integrated HardRAG as a dedicated governance and evaluation layer within their existing LangChain-based RAG pipeline.
Step 1: Evaluation-First Guardrails
Instead of simple keyword filtering, HardRAG's DSPy-powered guardrails were calibrated to their specific regulatory requirements. We implemented Faithfulness and Grounding scores that trigger automatic escalations if they fall below 0.85.
Step 2: Automated Evidence Packages
HardRAG began generating immutable evidence packages for every high-stakes response. These packages contain the original query, the retrieved source chunks, the specific rules applied, and the final validation score.
Step 3: PII Anonymization
Microsoft Presidio integration via HardRAG's PII Guardrail ensured that no customer data ever reached the LLM or leaked through logs.
The Results
After three months of deployment, the fintech firm reported significant gains:
- Audit Prep Time: Reduced from 2 weeks to 4 hours (Automated Reports).
- Grounding Accuracy: Improved from 85% to 99%.
- Cost Savings: $150k/year saved on manual review processes.
Final Outcome
The system not only passed the subsequent Internal Audit but was also approved for customer-facing deployment—a move that was previously blocked for 12 months due to risk concerns.