AI Compliance Monitoring & Audit

Overview

A mid-size financial services firm was spending a fortune on compliance — a 6-person team reviewing transactions, documenting procedures, preparing for exams, and remediating audit findings. Despite the investment, they were still failing 15% of audit points because human review couldn't keep pace with transaction volume. We built an AI compliance monitoring system that continuously evaluates all operations against regulatory requirements.

The Challenge

Financial regulations are complex, overlapping, and constantly changing. The system needed to understand regulations across multiple frameworks (SEC, FINRA, state regulators), monitor transactions for suspicious activity, ensure documentation requirements are met, track employee certifications and training, and generate audit-ready documentation. It also needed to be defensible to regulators — the firm needed to explain how and why the AI made its determinations.

Our Approach

We encoded regulatory requirements as structured rules and used an LLM to interpret ambiguous regulations and flag potential issues. The monitoring engine runs continuously across all operations: transaction surveillance, documentation compliance, employee certification tracking, and customer suitability reviews. Every finding is logged with the specific regulatory reference, evidence, and recommended remediation. Audit reports are generated on demand with full evidence trails.

Key Features

• Continuous regulatory monitoring across all operations
• Automated transaction surveillance
• Documentation completeness tracking
• Employee certification and training monitoring
• Violation detection with regulatory citation
• Automated remediation tracking
• On-demand audit report generation

Results

Try It Yourself

Client Feedback