Compliance AI Web Application for Media and
Text Data Management

Executive Summary

This case study showcases Compliance AI, a web application transforming media and text data management for a major media company. Faced with manual inefficiencies and regulatory hurdles, the client needed an advanced solution. Compliance AI uses Gen AI and Large Language Models to automate transcription, compliance checks, and sentiment analysis. By auditing audio for inappropriate content and streamlining onboarding, it enhanced operational efficiency and ensured compliance. 

The Challenge

A leading media company struggled to manage vast audio content from a broad agent network while adhering to U.S. regulations. Manual processes caused delays, inefficiencies, and challenges in maintaining content appropriateness. An AI-driven solution was essential to streamline content management, detect inappropriate material, perform sentiment analysis, and ensure seamless regulatory compliance. 

Our Approach

Custom Solution Design

We developed a tailored Compliance AI solution featuring automated content feeds, audio transcription, compliance audits, and sentiment analysis. The system uses fine-tuned LLMs to effectively audit inappropriate content and maintain regulatory compliance.

Agile Development

We used agile development methodologies to build the application incrementally. This approach allowed for rapid iterations, incorporating client feedback and adjustments to ensure the solution met their specific needs. 

Integration and Testing

The application was integrated with existing systems to ensure seamless operation. Extensive testing was conducted to validate the functionality and accuracy of the automated processes and compliance features. 
We developed a tailored Compliance AI solution with automated content feeds, audio transcription, compliance audits, and sentiment analysis. Fine-tuned LLMs effectively audit content and ensure regulatory compliance.
Custom Solution Design
We used agile development methodologies to build the application incrementally. This approach allowed for rapid iterations, incorporating client feedback and adjustments to ensure the solution met their specific needs. 
Agile Development
The application was integrated with existing systems to ensure seamless operation. Extensive testing was conducted to validate the functionality and accuracy of the automated processes and compliance features.
Integration and Testing

Outcomes Achieved

Automated feed of content

  • Standard RSS feed-based architecture for easy content upload. 
  • Audio files are transcribed and audited for compliance and sentiment metrics, streamlining agent workflows.  

Auditing Inappropriate Content

  • Fine-tuned LLMs automatically audit transcripts for content violations.
  • Identifies and addresses harmful or non-compliant content in real-time.  

Error Rate Decrease

  • Advanced sentiment analysis algorithms assess emotional tone in transcribed content.  
  • Provides insights into customer satisfaction and agent performance.  

Effective Summarisation of Text Data

  • Automates the summarization of lengthy text data.                             
  • Enables employees to quickly access key information, saving time and boosting productivity.

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