Operations | Monitoring | ITSM | DevOps | Cloud

Automation worked perfectly… and still sent our employee 3,000 miles the wrong way. That’s the problem: It doesn’t fail; it fails confidently. Pairing AI with deterministic workflows is the way forward.

What separates average IT support from truly exceptional service? In this episode of Agents of IT, Ari Stowe sits down with Nora Osman, CEO of Norvana, to unpack how the best organizations are transforming service delivery by combining AI, automation, and human empathy. Nora shares real-world lessons from leading large-scale service transformations, including how a simple shift in perspective turned a struggling service desk into a high-performing customer experience engine. Her approach is clear. Technology alone is not enough. You need context, empathy, and purpose.

Agentic AI can act, decide, and resolve on its own. Powerful, but it comes with real risk. Without the right guardrails, autonomy can lead to data exposure, compliance issues, and unintended actions at scale. This episode shows how to keep control with governed, deterministic automation.

What if you could go from request to result, instantly? No workflows to build. No APIs to chain. Just describe what you need. Resolve handles the rest. It selects the APIs, orchestrates the steps, and delivers the outcome in real time. This is agentic automation in action. Welcome to the Autonomous Enterprise. Watch now and see it in action#AgenticAI.

Joiner. Mover. Leaver. Routine events. Real risk. Overprovisioning. Privilege creep. Delayed offboarding. What if the lifecycle event enforced policy automatically?

Work is broken. Agentic AI fixes problems automatically so work keeps moving. That’s the idea behind Zero Ticket IT.

In this episode of Agents of IT, Ari Stowe and Ian Coppock unpack the recent Claude outage and what it reveals about our growing dependence on AI at work. From developers suddenly returning to Stack Overflow to the infrastructure challenges behind AI scaling, the conversation explores what happens when AI becomes critical enterprise infrastructure. They also discuss how organizations should prepare for AI outages, why “stampede adoption” is the new reality of AI releases, and what resilient, multi-agent architectures could look like going forward.

When AI went down this week, it didn’t just break a tool. It slowed knowledge work across the enterprise. For many teams, it felt less like a system outage and more like losing a coworker.

AI went down. Work stopped. The lesson from the Claude outage: when AI fails, workflows stall and requests pile up. Resilient IT keeps work moving. Even when AI goes dark.