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Financial Services

Designed AI governance and risk frameworks for internal LLM tools.

Financial Services AI Governance Risk Framework LLM Tools 10-week engagement

The Challenge

A top-20 global bank had deployed multiple LLM-based tools across trading, risk management, and customer service teams without a unified governance framework. This created significant regulatory, operational, and reputational risks.

Key issues identified:

  • No centralized oversight of which teams were using which AI models
  • Inconsistent prompt engineering leading to unreliable outputs
  • No audit trails for AI-generated decisions in regulated activities
  • Risk of model hallucination in financial analysis and trading recommendations
  • Unclear accountability when AI tools contributed to errors or compliance violations
  • Regulatory concerns from OCC and SEC about uncontrolled AI deployment

Our Solution

We designed and implemented a comprehensive AI governance framework that enables innovation while maintaining strict risk controls and regulatory compliance.

Framework components:

  • AI Inventory & Classification: Central registry of all AI tools with risk tiering (low/medium/high/critical) based on business impact and regulatory exposure
  • Usage Policies: Clear guidelines on acceptable use cases, prohibited applications, and required human oversight levels
  • Model Validation Protocol: Standardized testing methodology for accuracy, bias, and edge cases before production deployment
  • Audit Logging System: Comprehensive tracking of all AI interactions with immutable logs for regulatory review
  • Risk Monitoring Dashboard: Real-time visibility into AI tool usage patterns, error rates, and potential compliance issues
  • Incident Response Playbook: Defined procedures for handling AI failures, hallucinations, or regulatory inquiries
  • Training Program: Mandatory certification for all employees using AI tools, covering responsible use and escalation procedures

Results

100%
AI tool visibility achieved
67%
Reduction in AI-related incidents
3x
Faster regulatory audits
Zero
Compliance violations post-deployment

The governance framework has been adopted across all business units and is now the standard for AI deployment at the bank. Regulatory examiners have praised the comprehensive approach, and the bank has been able to safely expand AI usage into additional use cases with confidence.

Technologies Used

Custom GPT-4 LangSmith PostgreSQL Elasticsearch Grafana Python React AWS Terraform

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