AI Control Tower and the Rise of "Agent Ops", the Job Nobody Had Two Years Ago

Every technology wave creates a job title that didn't exist before it. The cloud gave us the SRE. Data gave us the data engineer. The agentic wave is creating something I'll call agent ops, the discipline of governing, observing, and measuring AI agents at runtime, and ServiceNow just put serious tooling behind it. If you're thinking about where your career or your team is headed, pay attention to this one.

Here's the context. For two years, AI adoption sprinted ahead of AI governance. Everyone rushed to deploy agents; almost nobody built the muscle to watch them. That gap is now the single biggest risk in enterprise AI, and ServiceNow's expanded AI Control Tower is a direct answer to it. The pitch is striking: discover, observe, govern, secure, and measure AI deployed across any system in the enterprise, not just ServiceNow's own agents. That "any system" scope is the tell. They're not building a feature; they're staking a claim on an entire emerging function.

What does the tooling actually do? After ServiceNow's acquisition of Traceloop, AI Control Tower now delivers runtime observability into agent behavior, visibility into how an agent reasons, where it makes decisions, and when it's going off the rails so you can course-correct. On top of that sits AI-driven risk assessment with five risk frameworks aligned to standards like NIST and the EU AI Act. Read that again: governance mapped to actual regulatory frameworks, not vibes. That's what enterprise-grade looks like.

So what does an agent-ops person actually do? They maintain the inventory of every agent running in the organization, and at scale, that inventory is bigger than you think. They monitor agent reasoning for drift and degradation. They map deployments against regulatory risk. They decide when an agent gets more autonomy and when it gets reined in. They're part SRE, part compliance officer, part AI-whisperer. It's a genuinely new blend.

Here's my advice, whether you're an individual or a leader. Don't wait until you have a thousand agents to figure out how to govern them. The teams that win the next two years are the ones who build the observability and governance discipline while they're at ten agents, not after they're at a thousand and something has already gone wrong. Agent ops isn't overhead. It's the thing that lets you scale agents without scaling your risk in lockstep. Learn it now, while it's still a frontier and not yet a requirement on every job description, because it's about to be both.