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What’s New in Control‑M: Smarter Orchestration and a New Approach to Workflow Archiving
Control‑M is evolving beyond orchestration - bringing together AI, automation, and governance to help enterprises operate with speed and confidence.
In this webinar, we’ll cover the latest Control‑M quarterly release and key innovations beyond it, with a strong focus on the new Control‑M Archive Service - designed to simplify compliance, reduce cost, and accelerate troubleshooting.
You’ll see how to:
- Turn workflow history into an asset with Control-M Archive Service - Instantly access years of workflow data to accelerate troubleshooting and meet audit requirements
- Bring AI directly into orchestration with MCP Server and AI capabilities - Connect AI agents and models to workflows for smarter, more adaptive automation
- Scale automation across SAP, cloud, and hybrid environments - Orchestrate dynamic workloads with new integrations, including SAP CPI and cloud resource management
- Embed governance into every workflow change - Centralize change control with ITSM integration to ensure compliance across your automation lifecycle
Discover how to move faster without losing control—through orchestration that is intelligent, governed, and built for the enterprise.
Speakers
Flora Tramontano – Principal Solution Marketing Manager , BMC Software
Tom Geva – Lead Solution Marketing Manager, BMC Software
event summary
AI moves beyond insight as enterprise orchestration becomes the new control layer
core insights
From automation execution to intelligent operational control
1
AI requires operational governance, not just intelligence
Organizations are moving AI initiatives from experimentation into production, where reliability, auditability, and operational control become essential. Success increasingly depends on connecting AI-driven decisions to governed business workflows rather than treating AI as an isolated capability.
2
Historical workflow data is becoming a strategic asset
Workflow history is no longer simply a compliance requirement. Enterprises need long-term access to execution records for auditing, troubleshooting, and operational analysis. The focus is shifting toward making historical data searchable, accessible, and actionable without increasing infrastructure burdens.
3
Human-in-the-loop operations remain critical
As AI agents become more capable, organizations are prioritizing controlled autonomy. Rather than allowing automated systems to execute changes independently, enterprises are adopting models that combine AI-guided actions with approvals, permissions, and audit trails to maintain accountability.
what this means
Turning orchestration into business advantage
Organizations must redesign operational processes to support AI-driven decision-making while preserving governance. This changes how teams investigate issues, manage risk, approve changes, and maintain compliance across increasingly connected technology ecosystems.
Key takeaways:
- Establish governance frameworks before expanding AI-driven operations.
- Centralize orchestration across applications, data platforms, cloud services, and AI environments.
- Retain workflow history using policies aligned with compliance and operational requirements.
- Enable faster incident resolution by making historical execution data easily searchable and comparable.
- Integrate change management processes directly with existing ITSM and approval workflows.
“The hard part isn't building a model. It's running AI in production reliably and at scale.”
Tom Geva, BMC Control-M Expert