How Agentic AI Is Transforming Compliance Automation

Compliance documentation in safety-critical system development is slow, expensive, and largely manual. Agentic AI—coordinated systems of autonomous agents that reason, use tools, and self-correct across multi-step workflows—offers a fundamentally different approach.

But in safety-critical domains, capability alone isn’t enough. Accuracy and deterministic behavior are non-negotiable: in this domain, a wrong output isn’t a bug to fix—it’s a liability that can halt certification or ship an unsafe system.

Krishna draws on real-world experience deploying agentic AI for compliance automation, sharing the challenges, design patterns, and limitations to meet the accuracy and determinism bar that safety-critical work demands.

Bio: Krishna Koravadi builds AI systems to improve the development efficiency and quality of safety-critical systems. He is Founder & CEO of GapLensAI, CTO of Aha Automotive Innovations Inc., and Principal AI Consultant at Nava Inventions LLC. With 20+ years of experience in ADAS/autonomous vehicles and AI product leadership, he has shipped GenAI products in safety-critical environments, holds 120+ US patent applications (58 grants), and is a TÜV Nord certified functional safety engineer. He has spoken at AutoSense Detroit, SDV & AI in Automotive USA, and automotive AI forums in Munich.

Pizzas and sodas will be provided by Ann Arbor SPARK to keep the energy up!

Whether you’re a student, researcher, entrepreneur, or hobbyist, everyone interested in AI/ML is welcome.
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