Narendra Kandregula

AI as the Auditor: Scaling Compliance with Generative AI

Abstract:

Financial compliance processes are often manual, time-intensive, and difficult to scale in the face of growing regulatory demands. This session explores how Generative AI can function as an intelligent auditor—automating transaction reviews, interpreting regulatory policies, and generating audit-ready narratives with speed and consistency.i’ll highlight real-world FinTech use cases and reference architectures, including Retrieval-Augmented Generation (RAG) and human-in-the-loop validation, while addressing challenges such as explainability, data privacy, and model governance. Attendees will gain practical insights into building scalable, trustworthy AI systems that modernize compliance without compromising regulatory rigor.

Profile:

Narendra Kandregula is an accomplished AVP at Deutsche Bank with over 12 years of experience in architecting scalable fintech platforms, cloud-native microservices, and real-time trading engines. He has worked with top firms including Apple and JP Morgan. In parallel, he is an active researcher with multiple publications , contributing to AI in healthcare, generative AI in Fintech, IoT analytics, fintech cybersecurity, and edge computing. He holds certifications in AWS, Java, and Blockchain. He is graduated from the National University of Singapore.