Key Highlights
- BMC introduces new AI-driven capabilities across its Control-M and BMC AMI portfolios.
- Generative AI enables business users to build and manage complex workflows using natural language.
- New features aim to close skills gaps, automate issue resolution, and modernize mainframe operations.
BMC, a global leader in enterprise software solutions, has announced a series of AI-powered enhancements across its Control-M and BMC AMI portfolios. BMC is reinforcing its strategy to modernize mainframe operations while bridging the gap between IT and business teams.
The update reflects how Technology is reshaping traditional mainframe environments by making automation and AI accessible to both IT and business users.
According to the company, the latest innovations are designed to simplify workflow creation, automate issue resolution, and operationalize expert mainframe knowledge using generative AI.
By enabling users to interact with systems through natural language, BMC aims to make sophisticated automation accessible beyond traditional IT specialists.
Control-M Enhances AI-Centric Workflow Orchestration
Control-M continues to expand its library of out-of-the-box integrations, which now spans enterprise applications, databases, cloud services, RPA platforms, and collaboration tools. New integrations are being added on a monthly basis to support evolving enterprise needs.
Recent additions include AWS Bedrock, Google Vertex AI, and Crew AI, allowing organizations to orchestrate multiple AI agents within a single workflow. BMC says this capability enables teams to accelerate innovation and scale AI initiatives more efficiently, particularly in complex, AI-driven environments.
As enterprises process growing volumes of event-driven data, Control-M’s Event Driven Workflows capability allows organizations to respond in real time. The platform can now listen to event streams from systems such as Kafka, Amazon SQS, and RabbitMQ, automatically triggering or adjusting workflows based on live signals.
AI-Powered Expertise for Mainframe Operations
Within the BMC AMI portfolio, the Knowledge Expert Chat capability embedded in BMC AMI Assistant provides AI-driven guidance across nine development and operations solutions. Available at no additional cost to licensed users, the feature delivers clear, natural-language responses grounded in BMC documentation and deep domain expertise.
BMC says this approach helps teams resolve issues faster, reduce reliance on scarce mainframe experts, and maintain system reliability without switching tools.
Complementing this, the Knowledge Hub capability, currently in managed beta, addresses growing skills gaps by consolidating scattered institutional knowledge into a single AI-accessible source. This allows organizations to retain and reuse expertise as systems grow more complex.
Actionable Insights for Development Leaders
BMC also introduced BMC AMI zAdviser Development Team Analysis, which delivers AI-powered application insights through unified narrative reports.
By consolidating DevOps telemetry and operational metrics, BMC is helping organizations turn Big Data into clear, actionable insights for development teams.
“AI is rapidly democratizing access to complex workflows,” said Ram Chakravarti, Chief Technology Officer at BMC. “By letting people describe what they need in plain language, we’re removing technical barriers and helping customers build resilient, continuously advancing mainframe environments.”
With these updates, BMC positions AI as a catalyst for modernizing mainframes while supporting long-term digital transformation across enterprises.