CX Leaders Can’t Ignore This Agentic AI Lesson From the Pocket OS Outage

A production database deletion and 30-hour outage at Pocket OS has become a cautionary tale for any organization bringing agentic AI into critical systems.In this interview, Nicole Willing speaks with Alex Gallego, CEO of Redpanda Data, about what went wrong and why blaming the model misses the point. They unpack the enterprise basics that still get skipped: separating development from production, tightening authentication and authorization and scoping agent permissions away from dangerous root access.Gallego also explains why governing agents is harder than governing humans. Agents can be more capable, less predictable and execute at machine speed. That combination makes traditional controls feel too slow. Gallego outlines practical guardrails, the need to reduce the “search space” of tools an agent can access, and why many organizations will need proxy layers to enforce fine-grained permissions when legacy systems cannot.The conversation closes with the bigger stakes, from customer trust and regulatory exposure to the risk of catastrophic failure in human-critical systems. For CX and contact center leaders evaluating autonomous agents, the takeaway is clear: speed and automation are only valuable if governance is designed in from day one.For more Customer Experience tech news visit https://www.cxtoday.com