Erez Kaminski

Regulated product teams are managing higher rates of change than the processes designed to govern them were ever built to handle. AI entering both the product and the development workflow is making this worse: behavior changes after deployment, documentation falls behind decisions, and architecture drifts silently until an audit or a field event surfaces it.

This session gives teams the frameworks and practices to keep architecture current and change visible as complexity grows, without slowing down delivery or sacrificing safety.

In this session, you will learn:
-Why the V-model is cracking under AI-accelerated development, and how the asymmetry between development velocity and V&V capacity creates risk
-How to recognize the symptoms of architecture failure in your organization before they surface as audit findings or field events
-How regulated product teams need to evolve, and how to use AI as a force multiplier to drive that change in your organization.

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