Modernizing ~10,000 enterprise workloads without operational disruptions
10,000
Workloads Modernized
8
Environments migrated
About
Global energy leader managing distributed operations across 8 enterprise environments - running nearly 9,800 legacy workloads in need of modernization.
Industry
Industrial Machinery
Company size
75,000+
Founded
2024
"Elliot Systems delivered an exceptionally complex workload automation migration for GE Vernova under tight timelines and with a level of rigor we rarely see from external partners. We've seen real operational value from day one of go-live. Elliot Systems earned our trust on this engagement, and we would love to partner with them again."
Matthew Singer, Senior Director, Digital Operations
The Company
GE Vernova powers the world's energy infrastructure
GE Vernova is a global energy technology company operating across power generation, wind energy, electrification, and digital solutions. With distributed operations spanning multiple business units and geographies, the organization manages complex scheduling and automation workflows critical to daily operations. Its enterprise technology estate had grown to nearly 10,000 scheduled workloads running across 8 independent environments on CA Automic, a legacy automation platform that could no longer keep pace with enterprise demands.
The Motivation
Legacy automation was becoming a liability at scale
As GE Vernova's operational footprint grew, the limitations of its legacy scheduling platform became impossible to ignore. Enterprise-wide workload monitoring was fragmented across environments, limiting visibility and making proactive issue resolution difficult. Operational teams relied heavily on manual processes for scheduling and dependency management, increasing risk and reducing efficiency.
The legacy platform could not scale to meet growing enterprise demands, creating bottlenecks and governance gaps. Cross-environment orchestration with no shared baseline meant every environment operated in its own silo. Modernization was no longer optional. It was necessary to support enterprise growth and operational maturity.
"The team navigated significant technical and organizational challenges without disruption to our operations, and the outcome has meaningfully improved our ability to manage critical processes at scale."
Matthew Singer, Senior Director, Digital Operations
The Solution
A joint-delivery migration from CA Automic to Control-M SaaS
Elliot partnered with BMC Software to execute a full-scale migration from CA Automic to Control-M SaaS across all 8 enterprise environments. The engagement followed a structured wave-based delivery model: pilot environments were validated in Wave One before full-scale migration proceeded in Wave Two.
Elliot leveraged advanced conversion tooling in partnership with BMC to automate the transformation of nearly 10,000 Automic job definitions at enterprise scale. Each environment required its own validation, configuration, and controlled go-live. A staged conversion approach moved workloads through on-premises validation before migrating to SaaS, ensuring full alignment to enterprise governance standards.
The target architecture delivered centralized orchestration, standardized scheduling governance, improved workload dependency visualization, a cloud-ready automation framework, and dramatically reduced manual operational intervention.
The Results
Enterprise-wide transformation with zero operational disruption
The migration delivered immediate operational gains while establishing a cloud-ready automation foundation capable of supporting GE Vernova's long-term enterprise growth.
- 9,800+ workloads successfully migrated
- 8 enterprise environments unified under a single platform
- 100% SaaS transformation completed
- Zero operational disruptions throughout the engagement
- Centralized monitoring and dependency visualization from a single platform
- Standardized governance and compliance controls across all environments
- Automated orchestration replaced manual scheduling processes at scale
By replacing fragmented legacy systems with Control-M SaaS, GE Vernova moved from siloed, manual scheduling to unified enterprise orchestration, with the scalability and governance to support long-term growth.