What happens when AI agents become your teammates on the mainframe?

I sat down with Anthony DiStauro from BMC on The Ravit Show to explore how agentic AI is moving from hype to real work. We unpacked the building blocks, the use cases, and what this shift means for teams who keep mission-critical systems running.

Highlights we covered:

- The teammate you didn’t hire: where agents plug in first across monitoring, remediation, change checks, and capacity tuning.

- The basics in plain English: AI Agents, Agentic Workflows, and MCP Servers, and how they connect to form an execution layer that can act, not just alert.

- Why now: falling hype, rising adoption as teams want safer automation with clear guardrails.

- From mundane to strategic: operators focusing on performance engineering, cost optimization, and resilience design while agents handle the repetitive loops.

- Capturing know-how: using agents to encode runbooks, tacit fixes, and tribal knowledge so it survives turnover.

- Five-year picture: proactive, self-healing mainframes where agents predict drift, test changes, and roll back safely.

- Humans + agents: trust comes from transparency, audit trails, and clear handoffs.

- Invisible infrastructure: agentic workflows that hum in the background and surface only when needed.

- From dashboards to decisions: moving beyond graphs to actions with approval gates for high-risk steps.

- Future talent: a shorter learning curve for newcomers, making mainframe roles more attractive.

If you care about reliability, cost, and speed on the mainframe, this is the next chapter.

#data #ai #mainframe #bmc #theravitshow