This case study covers Compliance AI, a web application developed to streamline media and text data management for a major media company. Faced with inefficient manual processes and regulatory compliance challenges, the client needed an advanced solution. Compliance AI automates audio transcription, compliance checks, and sentiment analysis using Gen AI/ Large Language Models. It audits audio to identify inappropriate content and supports efficient onboarding of new audio content, significantly enhancing operational efficiency and regulatory adherence.
This project strives to transform the real estate sales transaction process by harnessing state-of-the-art AI technologies.The innovative approach proposed involves the utilization of Language Models (LLMs) and advanced deep learning models.The primary objectives are to enhance accuracy, streamline efficiency, and achieve scalability in real estate transactions.The integration of cutting-edge technologies marks a significant shift in the traditional real estate industry paradigm. The use of LLMs and deep learning models ensures a sophisticated and precise methodology for transactional processes.The focus is on continuous monitoring and updates, underlining the commitment to sustained and long-term success.This initiative aims to revolutionize how real estate transactions are conducted, paving the way for a more efficient and effective system.
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Custom Solution DesignBased on the assessment, we designed a tailored Compliance AI application that includes features for automated feed of content, audio transcription, compliance audit, and sentiment analysis. The design focused on selection of appropriate LLM and fine tuning the same for given set of regulations to effectively audit inappropriate content and maintain regulatory compliance.
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Agile DevelopmentWe 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.
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Integration and TestingThe 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.
Automated feed of content
Our system has standard RSS feed-based architecture as well as allowing agents to easily upload audio files, which are then transcribed and audited for various compliance and sentiment metrics. This feature simplifies the workflow for agents and ensures that all audio interactions are documented and evaluated.
Sentiment Analysis and Emotional Tone Identification
We employ sophisticated sentiment analysis algorithms to assess the emotional tone of transcribed content. This helps in understanding customer satisfaction and agent performance, providing valuable insights into interactions.
Auditing Inappropriate Content and Red Flags in Transcript Data
Our solution leverages advanced and fine-tuned LLMs techniques to automatically audit transcripts for content violations against potential red flags. This ensures that any harmful or non-compliant content is promptly identified and addressed.
Effective Summarization of Text Data
The solution provides automated summarization of lengthy text data, allowing employees to quickly grasp essential information without sifting through extensive documents, thus saving time and enhancing productivity.