BMC & AWS deepen Control-M cloud AI orchestration deal

BMC has signed a five-year strategic collaboration agreement with Amazon Web Services focused on workflow orchestration and data pipeline management. Under the deal, Control-M SaaS will run on AWS as BMC's preferred cloud hosting platform.

The agreement centres on the Control-M platform, used to schedule and orchestrate application workflows and data pipelines across hybrid environments. Control-M is listed in AWS Marketplace and is used by customers running a mix of on-premises systems and cloud services.

Control-M on AWS

As part of the arrangement, BMC will host Control-M SaaS on AWS. The companies position the move as part of a broader push for intelligent automation for customers managing complex operations across applications, data platforms, and AI services.

The agreement also includes work on orchestration across hybrid, cloud, data, and AI workloads. BMC highlighted generative AI features in Control-M, including Jett, a generative AI-powered advisor in the platform.

Brian Jones, Global VP of Strategic Partnerships at BMC, linked the agreement to modernisation programmes and operational change. "This five-year strategic collaboration agreement with AWS reinforces our commitment to helping customers modernise and innovate with confidence," he said. "By combining BMC's expertise in intelligent automation with the scale and agility of AWS, we're empowering enterprises to unlock the full value of their data, streamline operations, and accelerate digital transformation."

AI and orchestration

The collaboration also covers what BMC describes as "agentic AI" features and data management functions delivered natively on AWS. The aim is deeper integration between BMC tools and AWS services, with Control-M acting as an orchestration layer for data pipelines and application workflows.

Control-M integrates with AWS services used for data processing, AI development, and infrastructure provisioning, including Amazon Athena, Amazon Bedrock, Amazon Elastic Container Service, AWS CloudFormation, AWS Mainframe Modernization, and Amazon SageMaker.

Air Europa is among the customers cited as using Control-M SaaS with AWS services. The airline pointed to integrations with Amazon SageMaker as part of its internal roadmap for data and AI work.

"BMC Control-M SaaS gives us immediate access to out-of-the-box integrations with Amazon SageMaker, a critical enabler of our Data, ML, and AI roadmap," said Jose Carlos Bermejo, Head of Data and Analytics at Air Europa. "We look forward to utilising the orchestration and automation innovations through the continued collaboration between BMC and AWS."

Regional footprint

BMC has expanded the geographic availability of Control-M SaaS on AWS, with deployments in the AWS Sydney Region as well as Ireland, Canada, and the US. It linked the footprint to demand for data residency and operational resilience, which often shape cloud purchasing decisions in regulated sectors and multinational organisations.

AWS said the arrangement supports its partner efforts around mission-critical workloads that move to the cloud over time rather than through single-step migrations. Those programmes often involve integrating scheduling, job control, and data movement tools with cloud services used for analytics and AI.

"This collaboration empowers organisations to modernise mission-critical workloads with the security, performance, and AI capabilities needed to drive business outcomes," said Allison Johnson, Director of Americas Technology Partnerships at AWS. "Together, we're delivering cloud solutions that help customers transform faster and unlock new value from their data."

BMC said it will continue a monthly release cycle for Control-M integrations across application, data, and infrastructure categories, including AWS services. The companies expect customers to use these connectors for end-to-end orchestration across hybrid estates where legacy systems, cloud services, and new AI tools operate side by side.