Automation by Broadcom Awards

For decades, Control-M has been a standard for on-premises scheduling. But with the carve-out of Helix to a separate private equity firm, the gap between their traditional and SaaS offerings is no longer just architectural—it’s structural.

 

Don't let split ownership dictate your hybrid cloud roadmap. Secure your future with a platform engineered as a single, unified codebase: Automic Automation from Broadcom.

 

 

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The Strategic Risks of Control-M


The landscape of workload automation is shifting rapidly. As enterprises scale their hybrid cloud and AI initiatives, the architectural and corporate realities of Control-M present distinct operational risks. Before your next renewal, analyze the impact on your business.

A Fragmented Hybrid Roadmap

The recent corporate split of BMC has created significant uncertainty for customers. Control-M was left behind in the legacy BMC Software core business, stripping it of its direct alignment with the broader ITSM and AIOps ecosystem. This fragmentation introduces two major risks:

  • A Hasty Rebranding: Because the newly spun-off company took ownership of the "Helix" brand, the product previously known as "BMC Helix Control-M" was forced into a rapid rebrand to simply "Control-M SaaS."

  • Punitive Licensing: As noted in the August 2026 Gartner® Magic Quadrant™, Control-M’s licensing models frequently lead to cost overruns. While execution-based pricing is an industry standard, BMC penalizes organizations when they exceed their licensed limits.

The Automic Advantage: Automic Automation aligns software costs directly with realized business value by only counting successful executions. You are never charged for failed jobs, eliminating overage anxiety and ensuring predictable costs as you scale.

Forked Platform Architectures

Maintaining separate platform architectures for cloud and on-premises environments adds massive friction to modern toolchains. Control-M was not built as a single unified architecture; instead, customers rely on a hybrid "Unified View" to bridge mainframe workloads with newer cloud environments.

This forked approach creates severe bottlenecks:

  • Integration Complexity: According to the 2026 Gartner® Magic Quadrant™, extending Control-M beyond its out-of-the-box connectors is difficult. Building custom extensions requires a low-code application integrator that demands deep, specialized knowledge of the Control-M execution engine.

The Automic Advantage: Automic provides a single, unified, intelligent control plane. It delivers absolute feature parity, stateful operational resilience, and seamless extensibility across on-premises, Kubernetes, and SaaS deployments—without the architectural friction.

Unified Capabilities vs. Modular Costs

Legacy schedulers frequently require separate software installations, additional licenses, and distinct maintenance cycles for essential tools like Managed File Transfer (MFT) or SLA analytics.

Automic provides a natively unified orchestration engine out-of-the-box. Core capabilities—including native mainframe agents, are built directly into the base platform, allowing you to expand your automation footprint across mainframes, distributed systems, and cloud environments without modular cost spikes.

Automic: Orchestration Without the Overhead

Your infrastructure has evolved, and your scheduler should too. Moving to Broadcom isn't just a platform swap—it's an architectural upgrade. We replace "static scheduling" with dynamic orchestration, giving you an intelligent control plane that unites mainframe and distributed environments under a single pane of glass, bringing Data, Dev, and Ops together without the legacy friction.

  • Zero-Downtime Deployment

    Eliminate scheduled downtime. Automic’s containerized architecture enables hot-swappable Zero-Downtime Upgrades (ZDU). Sequentially update central orchestration engines and distributed agents—across on-premises, Kubernetes, or SaaS environments—ensuring continuous execution of business-critical pipelines.

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  • Predictive Intelligence

    Gain single-pane observability across Automic and Control-M with Automation Analytics & Intelligence (AAI). AAI delivers predictive SLA management and cross-platform dependency mapping, monitoring both environments simultaneously during migration to guarantee a transparent, risk-free cutover.

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  • Policy-Driven Agentic AI

    Embed active Agentic AI into strictly governed workflows. Utilizing "Text-to-Workflow" generation and a Bring Your Own Model (BYOM) architecture, Automic enables automated decision-making and self-healing remediation at scale—without compromising enterprise auditability or security.

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Is It Time to Replace Your Enterprise Scheduler?


See how a modern, intelligent control plane can reduce risk and accelerate your digital transformation—and determine if your current enterprise scheduler is equipped to fuel your business's success.

 

 

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Your Roadmap: The "Safe Passage" Methodology


Backed by the elite Broadcom Expert Advantage Partner program, we have helped hundreds of enterprise customers successfully transition millions of mission-critical workloads to Automic. Our certified migration experts and dedicated Broadcom Knights leverage proven methodology and automated translation tools to adapt every step of the migration to your unique environment. By utilizing a highly structured, risk-mitigated approach, we ensure a seamless transition that preserves your operational integrity and guarantees reliable execution from day one. This program successfully migrated 74,000 Control-M job definitions at a US financial institution, ensuring a reliable, zero-disruption transition.

Phase 1: Discovery (The Map) 

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We don’t rely on outdated documentation. We connect AAI directly to your active Control-M environment to map your actual execution paths, cross-platform dependencies, and identify hidden "ghost jobs" that are consuming licensing costs while delivering zero active business value.

Phase 2: Rationalization (The Clean Up)

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Control-M environments inevitably accumulate decades of legacy technical debt. We use AAI’s deep analytics to identify and eliminate obsolete job streams and redundant dependencies. We don't port your legacy; we optimize your scheduling logic before the transition begins.

Phase 3: Parallel Transition (The Move)

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Our automated conversion utility ingests your Control-M definitions and programmatically translates them into native Automic objects. Workloads are migrated phased by business service, AAI maintains a single consistent viewpoint of all activity in Automic and Control-M during migration phases.[T

Phase 4: Modernization (The Future State)

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Once your core workloads are safely migrated, you begin unlocking advanced hybrid cloud capabilities: predictive critical-path management, self-healing automated workflows, and a unified, single-engine view of your entire IT enterprise without the friction of separate legacy add-on modules..

Automation in a Hybrid Cloud World

To optimize service delivery, modern automation solutions must provide orchestration and end-to-end observability across hybrid and multi-cloud environments.

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    Hybrid Cloud Automation

    Orchestrate automated processing across hybrid cloud environments.

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    Automation Observability

    Gain actionable insights and predictions across islands of automation to improve business outcomes.

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    Data Pipeline Automation

    Accelerate big data and AI initiatives by integrating data sources, streamlining data flows, and making data trustworthy and actionable.

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    ERP Automation

    Modernize ERP platforms like SAP and Oracle while achieving end-to-end business process orchestration.

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