When AI agents ignore the code freeze: governance that holds | EVOLVE 2026

AI can write 1,100 lines of code for a loading spinner in five minutes. Your change board still meets once a week. Karthik Jayaraman, VP of Information Technology at Fiserv, explains what happens when code generation speeds up and everything downstream stays the same. He covers why "human in the loop" doesn't scale, why handing all review to AI backfires, and why an agent told not to touch production needs a boundary it can't cross, not just an instruction.

His four-step framework for regulated environments: decide your policies up front, make the right way the easy way with golden paths, record every decision as it happens, and enforce at every step (IAM, CD, your AI gateway), with a loop that updates policy after every incident. He also shows how his team runs it in Cortex with CQL, Scorecards, Workflows, and the Cortex API and MCP.

Recorded at EVOLVE 2026, Cortex's conference for engineering leaders building their AI software factory.

Learn more about EVOLVE: https://evolve.cortex.io
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