BMC Software

Enterprise AI creates value when it can move from insight to action without sacrificing governance, visibility, or human control.

We have announced new capabilities that securely connect AI agents and assistants to enterprise workflows and live operational data across mainframe, cloud, and hybrid environments.

With new Model Context Protocol capabilities for BMC AMI Assistant and Control-M, organizations can:
• Enable AI agents to interact securely with production workflows
• Access operational context and intelligence across mainframe environments
• Maintain enterprise-grade policy controls, auditability, and human oversight
• Strengthen resilience, compliance, and automation at scale

This is what governed AI looks like in practice: reliable, explainable, and ready for the systems businesses depend on.

Alert fatigue isn't solved by better thresholds. It's solved by better context.

Mainframe operations teams don't need more alerts. They need to know what matters, what's driving the issue, and what to do next.

That is the shift BMC AMI Ops supports: from noisy, reactive monitoring to a more connected operational workflow. Not by adding more data, but by helping teams understand what already exists.

✔️ Identify meaningful changes earlier with context-rich AI detection

✔️ Connect related events to identify likely cause faster

✔️ Access plain-language guidance and next steps in the workflow

The result? Reduced MTTR. Improved resilience. More confident decisions when every minute matters.

Swipe to see how BMC AMI Ops helps teams detect earlier, explain faster, and resolve with confidence →

The Databricks Data+AI Summit drew 31,000+ practitioners. The keynote's central message was clear: enterprise AI is only as good as the data behind it.

BMC is a Databricks technology partner with over 100 joint customers. Our team was on the ground this week, and what we heard validates what we've been building toward: the gap isn't the AI model, it's access to complete, accurate, and timely enterprise data.

Control-M extends Databricks pipeline orchestration across the full enterprise, including petabytes of mainframe data, SAP, and other sources that have historically been hard to reach. More data, faster, and easier.