The challenge in enterprise AI is no longer generating intelligence;  it's governing how AI makes decisions. Agents are now acting across banking, healthcare, telecoms, and operations, but most are doing so with no audit trail, no policy enforcement, and no way to explain why a decision was made.

Sathya opens with a true story: in April 2026, an AI coding agent deleted a production database in 9 seconds, then admitted it had ignored every safety instruction it was given. The safety prompts were advisory & not enforcing. That's the gap.

This session argues that the enterprises winning with AI will be the ones who treat governance as architecture, not afterthought. Sathya will walk through how Camunda is emerging as the enterprise AI control plane,  the orchestration layer through which every AI action flows, where policies are enforced live, every decision is traced and justified, and destructive actions are gated by structure rather than instruction. The talk closes with worked examples from financial services, healthcare, and telecom showing what operational AI governance looks like in practice.