In response to growing skills gaps and the complexity of modern mainframe environments, BMC has released a thorough set of AI-powered updates designed to transform how organizations manage their enterprise systems. The January 2026 quarterly release introduces capabilities that address critical challenges facing mainframe operations, from knowledge retention to workflow automation. These updates also emphasize integration with hybrid environments and modern tooling for seamless operations through Integration Platform connectivity.
The BMC AMI Assistant expansion brings Knowledge Expert Chat directly into BMC AMI DevX, BMC AMI Ops, and BMC AMI Security portfolios. You can now receive plain-language answers using BMC documentation and subject matter expertise without switching tools. This feature supports troubleshooting pipeline failures, application issues, and security activities across nine BMC AMI development and operations solutions at no additional cost to licensed customers. The assistant addresses skills gaps by delivering AI-driven guidance exactly where you need it.
AI-powered assistance now embedded across BMC AMI portfolios delivers instant expertise without context switching, helping teams bridge critical skills gaps.
Control-M introduces an AI Workflow Creator that functions as a GenAI copilot for guided workflow design using natural language. This innovation bridges the gap between IT and business users, enabling business professionals to express their intentions while AI crafts sophisticated workflows. The tool accelerates workflow creation and reduces onboarding time for new users in both Control-M self-hosted and SaaS environments. Additionally, Control-M now listens to events from Kafka, Amazon SQS, and RabbitMQ for workflow triggers, bridging batch and real-time processing for instant responsiveness.
BMC AMI Ops Insight extends observability to IMS data through AI-driven multivariate analysis. This capability highlights anomalies and root causes across environments, integrating with BMC AMI Assistant for plain-language explanations and recommended actions. Operations teams gain a single integrated view to identify issues quickly and support faster resolution in IMS and multi-environment monitoring.
The Knowledge Hub capability, currently available in managed beta, surfaces scattered institutional knowledge for AI-driven interactions. This feature complements Knowledge Expert Chat and enables customization of the chat experience with organizational knowledge. Organizations can supplement the BMC AMI Assistant LLM with organization-specific data to produce answers informed by internal insight. BMC AMI zAdviser Development Team Analysis consolidates DevOps telemetry into unified narrative reports that help development leaders identify stability risks and prioritize improvements. These updates demonstrate BMC’s commitment to building resilient mainframe environments that mitigate skills gaps from retiring experts while releasing business value from data and supporting digital transformations.
