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What's New in BMC AMI solutions

Organizations are rapidly shifting from static insight to real-time, AI-driven decision-making—but not at the expense of governance, resilience, or speed. In this webinar, we’ll explore the next phase of the BMC AMI strategy: evolving from embedded AI and GenAI to Agentic AI, where intelligent agents act as governed collaborators—helping teams move from insight to action with greater confidence.

Speakers

Eli Pasternack
Senior Product Manager , BMC Software

Mark Sigler
Senior Director Product Management, AMI DevX , BMC Software

Rami Hadad
Principal Product Manager , BMC Software

Alan Warhurst
Director, Product Management, AMI Ops , BMC Software

event summary

AI-driven mainframe operations redefine how enterprises access, analyze, and act on data

As operational complexity grows, enterprises are rethinking how teams interact with data. This session explores how AI-driven workflows are transforming decision-making, reducing friction, and accelerating operational insight.

core insights

From fragmented operations to AI-led intelligence

Mainframe operations are shifting from manual navigation and static processes toward intelligent, AI-assisted workflows.

1

Conversational access replaces fragmented data navigation

Teams traditionally navigate multiple tools and views to locate operational data, slowing investigations and requiring deep product expertise. AI introduces conversational interfaces that surface relevant data instantly, minimizing context switching and enabling faster decision-making.

2

Governance becomes foundational to AI adoption

As AI integrates into operational workflows, secure and governed data access is essential. A standardized access layer enables consistent, scalable integration of live operational data into AI tools, ensuring both usability and compliance.

3

Monitoring evolves from static thresholds to behavioral intelligence

Static thresholds generate noise and miss context, leading to alert fatigue and delayed issue detection. AI-driven analytics shift monitoring toward behavior-based insights, allowing systems to learn patterns and surface meaningful anomalies requiring action.

These shifts signal a move toward faster, intelligence-driven operations where teams rely less on manual expertise and more on AI-assisted workflows to guide decisions and actions.

Key takeaways:

  • Adopt conversational interfaces to streamline access to operational data and reduce investigation time
  • Standardize data access through governed frameworks to scale AI-driven workflows securely
  • Replace static monitoring thresholds with behavior-based analytics to reduce alert fatigue
  • Integrate operational insights directly into daily workflows to minimize disruption and friction
  • Prioritize AI-assisted decision-making to improve response times and operational confidence

“Users can begin accessing current operational data conversationally, reducing manual navigation and helping investigations start faster.”

 

 

Turn AI ambition into a practical plan

The BMC AI Readiness Discovery Workshop helps enterprise teams assess readiness across data, workflows, and governance, and define a clear path to scalable AI adoption.
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