Get in touch

Inside Control-M Day Athens: The Rise of Service Orchestration and Automation Platforms (SOAP)

03/11/2025

Last week’s Control-M Day in Athens was a powerful showcase of how BMC is redefining enterprise automation, aligning completely with the context set by Gartner for the emerging Market known as Service Orchestration and Automation Platforms (SOAP). 
Here are the takeaways from the event: 

The vision of Control M is clear
To become the system of work for the modern enterprise — unifying every workflow across cloud, hybrid, and AI to deliver outcomes faster, smarter, and with zero wasted effort.  

Unified Workflow Orchestration
From legacy systems to cloud-native environments, Control-M is bridging the gap with event-driven, agentic automation and a SaaS-native architecture. The open ecosystem and deep integrations make it a strategic enabler for modern operations. 

AI Ready: Meet Jett – Your GenAI Workflow Advisor
Jett brings natural language interaction to workflow management. Whether it’s forecasting, audit tracking, or anomaly detection, Jett turns operational data into actionable insights—powered by Claude Sonnet via Amazon Bedrock. 

Harness the data pipelines across the Organization: Data Observability Built In
Control-M now embeds data validation directly into workflows. With real-time alerts and quality dashboards, it’s easier than ever to trust your data and meet SLAs without surprises.  

Ecosystem Ready
Whether you’re working with Snowflake, SAP, Jenkins, or Kafka, Control-M integrates seamlessly. It’s not just orchestration; it’s orchestration with intelligence. 

Self-service and DevOps integration
 Control M enables self-service adoption and integrates with DevOps toolchains to standardize and accelerate digital business processes.  

TLDR
From detecting repetitive actions to surfacing audit trails, Control-M is evolving from knowledge to goal-based automation. It’s a shift that aligns perfectly with the needs of dynamic business units. It combines workflow orchestration, workload automation, and resource provisioning to manage complex business services across hybrid IT environments.   

 


SOAP platforms are crucial for modern IT operations, enabling organizations to improve agility, efficiency, and cost savings by automating processes across data pipelines, cloud-native architectures, and DevOps initiatives. Among these technologies, BMC Control M is leading the way.
I’d love to hear how others are approaching workflow orchestration and AI in operations. Are you exploring similar tools or strategies?

– Nikos Tsantanis, General Manager Innovation Business Unit

WhatsApp Image 2025-10-27 at 14.23.50
WhatsApp Image 2025-10-27 at 14.26.18
Related Articles
16/04/2026
The EU’s NPL Advisory Panel: Bridging Policy and Market Reality
The European Commission's Expert Group on Non-Performing Loans, bringing together financial institutions, regulators, and technology providers. The group’s core focus includes monitoring the secondary NPL market, advising on policy and regulatory measures, strengthening data collection and market surveillance, and supporting the implementation of the NPL Directive. These efforts aim to better inform EU policymaking and enhance market functioning.
08/04/2026
Relational at the Panorama of Entrepreneurship & Career Development 2026
At the end of March, the Relational team participated in the Panorama of Entrepreneurship & Career Development, held from March 27–29 at the Athens Concert Hall. Our team was on the ground throughout the event, connecting with students and young professionals, sharing insights about career paths in tech, and introducing what it means to be part of Relational.
30/03/2026
From Hype to Execution: AI in Collections at NPL Europe 2026
At this year’s NPL Europe 2026, one thing became immediately clear: the conversation around AI in collections has shifted decisively — from ambition to execution. While previous years focused on potential, innovation, and future possibilities, this year’s discussions were grounded in a more practical question: Where is AI already delivering measurable impact — and what is still holding it back?