BMC AMI
BMC AMI AIOps: Mainframe Automation & Anomaly Detection
BMC AMI AIOps applies machine learning to mainframe operations: automatically detecting anomalies, predicting failures, and reducing MIPS consumption through intelligent workload optimization. VPMA implements and configures AMI AIOps to give your operations team real-time situational awareness across the entire z/OS environment.
Talk to a SpecialistWhat It Does
AI-Powered Mainframe Intelligence
BMC AMI AIOps uses machine learning to analyze mainframe performance patterns, detect anomalies, and predict failures before they occur, enabling proactive remediation rather than reactive firefighting.
VPMA's AMI specialists configure and tune AIOps models for your specific mainframe environment, integrating with your existing monitoring tools and ITSM platforms for seamless operations.
Capabilities
Common Use Cases
Where AIOps Delivers the Most Value
Proactive Performance Management
Detect and address mainframe performance degradation before it impacts production workloads or causes SLA breaches.
Capacity Optimization
Use ML forecasting to right-size mainframe capacity and reduce unnecessary MIPs consumption and cost.
Incident Reduction
Shift from reactive incident response to predictive operations, reducing the frequency and severity of mainframe incidents.
Ready to apply AI to your mainframe?
VPMA's AMI AIOps specialists will configure the right intelligence for your environment.