BMC, a global leader in software solutions, is introducing AI innovation updates across its Control-M and BMC AMI portfolios to simplify workflow creation, automate issue resolution, act on expert mainframe knowledge, and more.
According to the company, BMC continues to close the gap between IT and business users, empowering those with business knowledge to build and manage sophisticated workflows using natural language via generative AI.
The Control-M solution includes an extensive library of out-of-the-box integrations, which span enterprise applications, databases, cloud services, RPA platforms, and collaboration tools—with additional integrations being added monthly.
Recent additions include AWS Bedrock, Google Vertex AI, and Crew AI, empowering practitioners to orchestrate multiple AI agents for complex, AI-centric workflows. By orchestrating AI agents with Control-M, teams can accelerate innovation and seamlessly scale their AI initiatives, the company said.
As data volumes grow and systems become more event-driven, the ability to turn events into immediate, automated action has become a business imperative. The Control-M Event Driven Workflows capability allows organizations to respond to business and data events in real time. Control-M can now listen to events from systems such as Kafka, Amazon SQS, and RabbitMQ, and automatically trigger or adjust workflows based on those signals.
The Knowledge Expert Chat capability of BMC AMI Assistant embeds AI-driven guidance across nine BMC AMI development and operations solutions and is available to licensed customers of those solutions at no additional cost.
By delivering clear, natural-language answers informed by BMC documentation and deep domain knowledge, teams resolve issues faster, reduce knowledge bottlenecks, improve system performance, and maintain service reliability—without switching tools or relying on scarce experts, the company said.
Complementing the Knowledge Expert Chat capability, the Knowledge Hub capability in BMC AMI Assistant addresses a growing skills and knowledge gap as systems become more complex. Currently available in managed beta to qualified customers, the Knowledge Hub capability will enable organizations to surface scattered institutional knowledge, making it available in AI-driven interactions.
BMC AMI zAdviser Development Team Analysis delivers AI-powered application analysis that helps development leaders make faster, more informed decisions. By consolidating DevOps telemetry—including activity metrics, productivity data, and failure patterns—into a unified narrative report for each application, it helps leaders identify stability risks, uncover knowledge concentration, prioritize improvements, and reduce operational exposure without fragmented dashboards.
“AI is rapidly democratizing access to complex workflows and also supports the continued advancement of the mainframes that power the world’s largest organizations,” said Ram Chakravarti, chief technology officer at BMC. “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.”
For more information about this news, visit www.bmc.com.