Leveraging Cost-effective GenAI to Enable Compliance while Boosting Efficiency

Explore how to implement cost-effective Generative AI solutions for complaint management automation in this 28-minute conference talk from MLOps World. Learn from Pierre-Luc Vaudry, Senior AI Scientist at National Bank of Canada, as he demonstrates how to harness GenAI technologies to enhance regulatory compliance while dramatically improving operational efficiency. Discover the transformation from manual complaint analysis covering only samples to achieving 100% complaint coverage without additional costs through a strategic combination of GenAI, traditional machine learning, and automation. Understand how to automatically detect non-compliant complaints and identify potential systemic issues, with AI models that present findings in convenient formats for human validation and investigation. Gain insights into generating fictitious complaint examples based on systemic issue criteria to enable more accurate comparison with actual complaint texts through similarity scoring. Master the automation of complaint summarization using GenAI to produce regulatory reports with concise, uniform summaries while maintaining human oversight for validation and enrichment. Examine real-world implementation strategies that mitigate regulatory violation risks, reduce operational costs, and streamline complaint management processes to achieve better customer satisfaction and regulatory adherence in financial services environments.