PURPOSE-BUILT AI FOR MAINFRAME OPERATIONS

BMC AMI Agentics for Ops

Bring agentic AI into BMC AMI Ops workflows to help teams investigate issues, understand what is happening, and determine what to check next.

BMC AMI Agentics for Ops pairs purpose-built agentic AI with BMC mainframe expertise and live operational context. The result: more of your team can move from complex conditions to clear answers and informed action

What mainframe operations teams can achieve

Faster investigation

Turn hours of hunting through screens into a focused path toward probable cause.

Clearer operational answers

Explain findings, automation, and recommended next checks in plain language.

More confident action

Give operators useful context and guidance within the workflow they already use.

Lower MTTD and MTTR

Identify and interpret issues earlier so teams can begin diagnosis and resolution sooner.

Expertise at scale

Help developing operators start with relevant evidence while specialists focus on higher-value work.

Less outage impact

Speed triage and diagnosis to help shorten disruptions to critical services.

How BMC AMI Agentics for Ops works

BMC AMI Agentics for Ops extends existing BMC AMI Ops environments with agentic mainframe capabilities. Availability and required product entitlements vary by use case.

  • BMC AMI Assistant provides the conversational engagement experience for supported interactions.

  • BMC AMI Ops Monitor for z/OS provides the CPU investigation workflow and relevant operational evidence.

  • BMC AMI Ops Insight provides prioritized alert and probable cause workflows, including guidance on Db2 anomalies.

  • BMC AMI Ops Automation and the BMC AMI Ops UI provide the workflow for plain-language REXX explanation.

  • Applicable BMC AMI Ops products provide the data, analysis, monitoring, and automation associated with each supported capability.

  • Operators review guidance and remain accountable for operational decisions and consequential actions.

See BMC AMI Agentics for Ops in action

Explore how purpose-built agentic AI is being applied to mainframe operations challenges today

Investigate CPU spikes and identify probable cause

Agentic CPU investigation, powered by BMC AMI Ops Monitor for z/OS, identifies top consumers and looping jobs and guides teams toward probable cause in minutes, not hours. When an alert arrives, a less-experienced analyst can begin with the most relevant evidence instead of waiting for an expert callback.

Understand Db2 anomalies and probable cause

BMC AMI Ops Insight identifies meaningful operational issues and reduces alert noise. During diagnosis, agentic probable cause insight explains Db2 anomalies and probable cause results in plain language and recommends what to check next, without requiring deep machine-learning expertise.

Make existing REXX automation easier to understand

Agentic REXX explanation in BMC AMI Ops Automation breaks down legacy REXX execs in plain language inside the Ops UI. Teams can review trusted automation with more context, preserve operational knowledge, and reduce the effort and risk involved in tracing unfamiliar logic line by line.

Ask questions about live Ops data

BMC AMI Assistant chat provides conversational answers using live operations context in the BMC AMI Ops UI. Teams can ask about performance conditions and receive relevant guidance without moving across separate tools and screens.

A practical path from alert to informed action

01

Start with the operational condition

Begin from an alert, CPU issue, automation question, or live performance question inside the supported BMC AMI Ops workflow.

02

Assemble relevant context

Use available BMC product knowledge, operational data, alert evidence, and supported analysis for the task.

03

Understand the findings

Receive plain-language explanations of what matters, why it matters, and what evidence supports the guidance.

04

Review recommended next checks

Evaluate investigation priorities and suggested next steps before choosing the appropriate response.

05

Keep the operator in control

Use the guidance to support human judgment, established authorization boundaries, and operational accountability.

06

Continue in the same workflow

Move forward with the investigation without opening a separate AI destination or rebuilding context in another tool.

How  BMC AMI Agentics for Ops differs from general-purpose AI

DimensionGeneral-purpose AIBMC AMI Agentics for Ops
Operational context
Broad information without direct knowledge of the active mainframe environment.
Guidance grounded in supported BMC product knowledge, available live Ops data, and alert context.
Workflow fit
Answers may sit in a separate destination and require operators to recreate context.
Investigation, explanation, and answers appear in familiar BMC AMI Ops workflows.
Mainframe focus
General responses may not reflect z/OS, Db2, CPU, or REXX operational work.
Purpose-built experiences align to recognizable mainframe operations problems and host products.
Explainability
Recommendations may not make the operational basis sufficiently clear.
Findings and next checks are presented in plain language for operator review.
Control
AI activity may be disconnected from established operational responsibility.
People remain responsible for investigation decisions and consequential actions.

Bring purpose-built AI into your BMC AMI Ops workflows

See how BMC AMI Agentics for Ops can help your team investigate faster, understand complex conditions, preserve operational knowledge, and act with greater confidence.

BMC AMI Agentics for Ops FAQs