BMC Software, the automation company for the AI era, has announced BMC AMI Agentics and new Control-M capabilities to help enterprises put AI to work across critical operations while retaining human control. The innovations connect intelligence to governed action across mainframe and hybrid enterprise workflows, bringing specialized mainframe intelligence to operational and database workflows and extending universal orchestration.
Enterprise AI needs access to data, transactions, and expertise that underpin business. On mainframe, much knowledge resides within specialized teams and established workflows. BMC is agentifying mainframe by making expertise available through purpose-built agents that help teams investigate, analyze, and recommend actions within governed boundaries.
BMC AMI Agentics for Data and BMC AMI Agentics for Ops embed domain-aware AI into existing database and systems administration workflows. For Data, helps teams investigate Db2 and IMS issues, explain findings, and guide performance decisions with AI Reorg Advisor, SQL Workload Analyzer, Deadlock Advisor and IMS Exception Advisor. For Ops, helps operations teams investigate CPU spikes, understand legacy REXX automation, and identify probable causes within alerts, making specialized knowledge easier to apply.
"AI must earn the right to run your business," said Ram Chakravarti, chief technology officer at BMC. "BMC helps enterprises put AI agents to work while retaining human control, turning decades of human expertise into actionable intelligence without compromising operational predictability. AI earns trust in critical operations by being open by design, governed by default, and human-controlled."
Additional BMC AMI capabilities support connected operations and modern developer workflows including service discovery feeding verified z/OS configuration items into ServiceNow, BMC AMI Assistant bringing mainframe knowledge into enterprise chat, synthetic test generation in beta parsing COBOL to create test data, and hybrid developer workflows in beta connecting AI coding assistants like Cursor, GitHub Copilot and Claude Code to Code Pipeline.
"Governance, not model capability, is what separates AI pilots from reliable execution. Closing that gap requires context, orchestration, and control across complex enterprise estates," said Brent Ellis, vice president, AI and Workloads, IDC. "Delivering actionable AI enablement for the mainframe requires domain expertise often best provided by vendors dedicated to that ecosystem, such as BMC. Combining agentic AI with an established automation and orchestration platform provides a well-governed foundation for organizations looking for trusted outcomes at scale."
Control-M extends universal orchestration to AI-driven processes alongside application, data, and business workflows enterprises already run. Latest capabilities help operations teams troubleshoot work, improve data quality, and coordinate execution across hybrid environments including Data Assurance validating data as it moves through workflows, AI monitoring with natural-language troubleshooting for dependencies and root cause, and expanded integrations including Amazon Bedrock AgentCore, Argo Workflows, SAP Build Process Automation, Workato, IBM MQ, Oracle JD Edwards, AWS Auto Scaling and GCP Managed Instance Groups.
BMC uses LangGraph technology within BMC AMI Agentics to combine agentic workflows with mainframe intelligence and enterprise controls. Control-M integrates with LangGraph to orchestrate AI-driven workflows with visibility and automated recovery.
"We are pleased that BMC is leveraging LangChain in order to bring unique mainframe expertise and intelligence into enterprise AI domains," said Harrison Chase, CEO of LangChain.
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About BMC
BMC is the automation company for the AI era. The world's leading enterprises trust BMC to automate and orchestrate systems on which businesses depend across cloud, mainframe, and hybrid environments with AI-driven speed, resilience, and governance at scale.
