Mr. Aditya Chakravarthy Sumbaraju

AI Governance: 90% Compliance Cost Reduction in 50-State Privacy Landscape

Abstract:

Navigating the complex web of US state privacy laws represents a significant operational challenge for enterprises operating nationally. Traditional approaches to achieving CPRA and VCDPA compliance require substantial manual effort, with companies typically needing 15-person data engineering teams and 18-month implementation timelines, while facing constant uncertainty about audit readiness.

This presentation reveals the results of a revolutionary pilot project that transformed compliance operations through an autonomous, Agentic AI-driven data governance system. The case study demonstrates how specialized AI agents continuously discovered, classified, and applied governance policies across hybrid cloud environments, delivering unprecedented efficiency gains.

The 90-day pilot achieved remarkable results across key performance metrics. Manual effort was reduced by 90%, with the system autonomously processing and classifying over 2.3 million data objects while reducing the required compliance team from 15 full-time employees to a single oversight manager. Timeline compression was equally dramatic, with complete initial inventory and SPI classification against CPRA/VCDPA definitions accomplished in just 72 hours, a process previously estimated to require 6 months.

Accuracy and consistency reached new standards, with AI agents maintaining a 99% consistency rate in applying complex legal definitions across all datasets, eliminating human error and interpretation variations. Perhaps most significantly, the system established real-time audit readiness capabilities, generating continuously updated, immutable audit trails and producing compliance reports for state regulators on demand in under 10 minutes, transforming what was previously a quarter-long preparation process into a routine operational task. Attendees will gain practical insights into implementing agentic AI solutions for regulatory compliance, understanding both the technical architecture and measurable business outcomes that make this approach compelling for enterprise adoption.

Profile:

Aditya Chakravarthy Sumbaraju is an award-winning data leader with over 15 years of experience in driving business transformation through innovative data engineering, AI/ML, governance, and analytics solutions. Currently a Data Steward Manager II at Walmart Inc., he has pioneered identity resolution platforms that unified over 250 million customer profiles, boosting customer identification by 90% and reducing marketing waste by $1.2 million annually.

Aditya’s expertise spans cloud platforms (Snowflake, GCP, AWS), advanced analytics, and enterprise ETL/ELT solutions. He has a proven record of delivering significant revenue impact, including $23B+ in business value across retail, banking, and insurance sectors. His leadership in data modernization and regulatory compliance has driven multi-million dollar savings and operational efficiencies at companies like Blue Nile, MUFG Union Bank, and Farmers Insurance.

Certified in SnowPro Core, AWS Cloud Practitioner, and Professional Scrum Master (PSM I), Aditya holds an M.S. in Data Science from Bellevue University. He is recognized for blending deep technical expertise with strategic business insights and mentoring cross-functional teams to deliver measurable enterprise-wide data transformations.