LLM Inspector

Leveraging Chat, Calls, and Email Data to Innovate Your Business

The Challenge:

Customer communication still largely takes place through phone, chat, and email. How can the information shared there be leveraged for decision-making in areas as risk management, fraud detection, personalization, sales, and more?

The Solution:

1. Speech-to-text module, based on modern LLM models. Transcribing and refining call recordings. This includes distinguishing between speakers (speaker diarization).
2. The system then employs an investigation module, where specific evaluation questions are applied to the transcribed text. Using LLM, we analyze the text and search for specific answers.
3. In the final step, the feature store module organizes the results/answers into a table format. This enables the creation of dashboards and reports for monitoring, evaluation, and alerting needs. It’s also easily reusable for training other AI models (e.g., Risk, Fraud, Propensity to buy, etc.)

Key Benefits

• Detecting new leads and opportunities in communications with customers.
• Enriching models with additional information extracted from customer communications.
• Automatically scanning and checking all banker-client communications for regulatory violations (e.g., MiFID) and performance issues.
• Automating the extraction of information from documents.