Overview

AI-Powered Compliance Monitoring FlowFoundry undertook a project to train a Large Language Model (LLM) on Financial Conduct Authority (FCA) regulations. The goal was to use this trained model to analyze telephone transcripts and identify potential compliance breaches and training issues, ensuring regulatory adherence and improving communication standards and auditing.

‍

Problems

This project aims to mitigate the risk of non-compliance by using AI to automatically analyze telephone transcripts, flagging potential breaches and identifying areas for employee training. This cuts down management effort drastically and allows the transcripts to be searchable using natural language processing (NLP).

Solution

FlowFoundry's solution involves training a Llama model on FCA regulations, using a combination of a vector database and a speech-to-text engine. The vector database stores and retrieves relevant information efficiently, while the speech-to-text engine converts telephone conversations into text for analysis. The Llama model is then used to identify potential compliance breaches and training opportunities, providing a comprehensive, AI-driven compliance monitoring system.

Key Aspects of the Project

1. Data Collection and Preprocessing We gather and preprocess telephone transcripts and FCA regulatory documents to create a comprehensive dataset. This data serves as the foundation for training the LLM to understand the specific language, terminologies, and requirements of FCA compliance.
2. Model Training The LLM is trained on FCA regulations and historical transcripts, allowing it to learn and recognise patterns related to compliance breaches. The training process includes reinforcement learning to continually improve the model's ability to accurately detect non-compliant language and behavior.
3. Real-Time Monitoring The trained LLM is deployed to monitor telephone conversations in real-time or analyse recorded transcripts. By flagging potential breaches or areas that require further training, the system provides timely alerts, ensuring immediate action can be taken to address compliance issues.
4. Reporting and Insights The system generates detailed reports on compliance performance and highlights areas where employees may need additional training. This feature allows organisations to proactively address weaknesses in their processes and ensure ongoing regulatory compliance.

‍

‍