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Contact usAgentic Ops applies agentic AI to mainframe operations, providing guided investigation and explanations within BMC AMI Ops to help teams understand issues, identify probable causes, interpret automation, and determine what to do next while keeping people in control.
Mainframe operations teams have more visibility than ever, but visibility alone does not make decisions easier. Alerts still need context. Performance issues still require investigation. Automation still depends on specialized knowledge. And too often, the people with the deepest expertise are the same people being pulled into every urgent review. With BMC AMI Ops, agentic AI helps close that gap by turning operational data into clearer explanations, focused investigations, and practical next steps.
Start with the real operational question
When an alert fires, the hardest question is often not what happened. It is where to start. Agentic AI helps teams narrow the investigation, understand what matters, and move toward a recommended next step without starting from scratch.
Guide investigation before expert help is required
Agentic Ops focuses on the moments after an alert fires, when teams need help investigating the issue, interpreting results, and deciding what to check next inside familiar workflows.
Make scarce expertise easier to apply
Mainframe expertise is valuable because it is hard-won. Agentic AI helps make that expertise easier to apply by explaining complex findings, automation, and operational data in language more team members can use.
Keep people in control
The goal is not to remove human judgment from mission-critical operations. It is to give experts clearer context, better explanations, and recommended checks so they can make faster, more confident decisions.
These examples show how agentic Ops can support common operational tasks today and expand to additional mainframe workflows over time.
During a CPU spike, Agentic Ops can help point teams toward top consumers and looping jobs, so less-experienced operators know where to start and experts spend less time on basic triage. It builds on the operational visibility available through BMC AMI Ops Monitoring.
When a Db2 anomaly appears, teams need more than event details. Agentic Ops can explain root cause analysis results in plain language and recommend what to check next, helping operators move faster without deep Db2 or machine learning expertise. For broader diagnostic intelligence, see BMC AMI Ops Insight.
Years of REXX automation often keep critical operations running, but the original authors may be gone. Agentic Ops can explain REXX execs in plain language, helping teams review, maintain, and trust automation without tracing every line manually. It complements the automation foundation in BMC AMI Ops Automation.
Teams can ask questions in plain language and receive answers based on live mainframe operations data. This helps operators investigate an issue without digging through multiple screens or losing focus by switching between tools.
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VP of Operations | Financial Services organization