BMC adds AI copilots, events & guidance to Control-M
BMC has rolled out new artificial intelligence features across its Control-M automation platform and its BMC AMI mainframe portfolio, including a generative AI workflow design tool and new AI-guided assistance for mainframe development and operations teams.
The updates centre on workflow creation and orchestration in Control-M, and on AI-based guidance and analysis within BMC AMI Assistant and BMC AMI zAdviser. BMC positioned the work as a response to rising system complexity and skills pressures in operations teams.
Workflow design
Control-M now includes an AI Workflow Creator. BMC describes it as a generative AI copilot that uses natural language prompts to guide workflow design. The company said it aims at business practitioners as well as IT teams.
BMC said the approach shifts more workflow ownership from IT teams to business users. It also said workflows can capture domain knowledge that otherwise goes undocumented or is lost between teams.
Alongside the workflow creator, BMC expanded its integrations for Control-M. The company said Control-M includes out-of-the-box integrations across enterprise applications, databases, cloud services, robotic process automation platforms, and collaboration tools. It said it adds new integrations monthly.
Recent additions include AWS Bedrock, Google Vertex AI, and Crew AI. BMC said these integrations allow practitioners to orchestrate multiple AI agents within workflows.
Event response
BMC also introduced event-driven workflows in Control-M. The company said modern systems increasingly produce event streams and signals that trigger action. It linked that shift to growing data volumes and a higher use of event-driven architectures.
The Control-M Event Driven Workflows feature listens for events from systems including Kafka, Amazon SQS, and RabbitMQ. It then triggers workflows or adjusts them based on those events, according to BMC. The company said the feature covers both self-hosted and software-as-a-service deployments of Control-M.
BMC said event-driven processing bridges batch and real-time operations. It also said the approach reduces latency across data and application pipelines by reacting to signals as they arrive.
Mainframe guidance
On the mainframe side, BMC said it has expanded BMC AMI Assistant with a Knowledge Expert Chat capability. The company said the feature embeds AI-driven guidance across nine BMC AMI development and operations solutions. It said the tool is available to licensed customers of those solutions at no additional cost.
BMC said Knowledge Expert Chat uses BMC documentation and domain knowledge to provide natural-language answers inside existing tools. The company linked the feature to skills gaps and the need for trusted expertise during operational work.
The company also detailed a Knowledge Hub feature in BMC AMI Assistant. BMC said the feature is currently available in a managed beta to qualified customers. It said Knowledge Hub surfaces institutional knowledge that sits in multiple locations and makes it accessible through AI-driven interactions.
BMC tied the Knowledge Hub to resilience and to mainframe modernisation programmes. It said it reduces dependency on individual experts and makes knowledge more widely available across teams.
Telemetry analysis
BMC also highlighted updates in BMC AMI zAdviser. It said BMC AMI zAdviser Development Team Analysis delivers AI-powered application analysis for development leaders. The company said it consolidates DevOps telemetry into a narrative report for each application.
BMC described the inputs as activity metrics, productivity data, and failure patterns. It said the output supports decisions on stability risks, knowledge concentration, and prioritisation of improvements.
HyperFRAME Research CEO And Principal Analyst Steven Dickens said organisations increasingly want AI features embedded in operational tools rather than standalone products.
"As organisations push to move faster while managing increasing complexity, we're seeing growing demand for AI capabilities that embed intelligence directly into everyday workflows. Rather than standing apart as isolated tools, these AI-driven approaches help teams translate intent into action, contextualise system behavior, and surface relevant expertise at the moment it's needed," said Steven Dickens, CEO And Principal Analyst, HyperFRAME Research. "The result is faster decision-making, reduced friction across operations, and more resilient, business-aligned automation across the enterprise."
In comments on the release, BMC Chief Technology Officer Ram Chakravarti said the company sees AI changing how people interact with automation tooling and how mainframe teams access specialist knowledge.
"AI is rapidly democratising access to complex workflows and also supports the continued advancement of the mainframes that power the world's largest organisations," said Ram Chakravarti, Chief Technology Officer, BMC.
Chakravarti continued, "We're removing technical barriers by letting people describe what they need in plain language, taking the mystery out of automation and closing the gap between a good idea and a working solution. Our AI innovations for the mainframe help our customers build a resilient and continuously advancing mainframe, and help them advance their digital transformations. All of the new AI innovations announced today leverage the power of AI to unlock value from data and drive business insights."