Workload Management (WLM) enables an organization to optimize and scale their automation processes by breaking down large automation volumes into smaller work items. The feature uses a queue-based model to optimize resources, accelerate execution of the automations, and improve SLA compliance.

WLM helps transition automations from a single-threaded execution to a queue-based, distributed processing model, thereby enabling organizations to handle larger workloads, meet tighter deadlines, and deliver more reliable services. WLM is particularly critical during peak operational periods, when automation demand spikes, or when existing devices are not available to meet service-level agreements (SLAs). Whether you are handling thousands of customer records, managing invoice workflows, or moving data, WLM helps your automation infrastructre to scale effectively. The easy-to-use interface in the Control Room, priority-based processing, and full API support provide organizations the flexibility and control needed for faster automation.

WLM is critical in the following scenarios:
  • Businesses face high-volume, repetitive tasks, or time-sensitive operations that require scalability and parallel execution.
  • Your device utilization is below 50%.
  • You need to priortize your tasks.
  • SLA enforcement is a requirement.
  • Automation failures due to single-bot dependency.

Workload management feature in Automation 360

Benefits

WLM delivers a robust framework for enterprise automation by combining intelligent task distribution with real-time control. Through a queue-based model and parallel processing capabilities, WLM offers these benefits:
Improved scalability through queue-based model
A distributed processing system that breaks down work into individual items and intelligently distributes them across multiple devices for simultaneous execution.
Enhanced processing capabilities
Parallel processing feature capability that enables you to handle large automation data efficiently through intelligent resource management and optimization.
Real-time monitoring
Real-time visibility and analytical insights into all workload management operations through a comprehensive Control Room interface.
Efficient resource utilization and cost optimization
Strategic optimization of existing resources to achieve maximum value and performance, without increasing the cost through distributed workload.
Effective risk mitigation and compliance
Comprehensive risk mitigation, transforming automation from high-risk operations into resilient, secure systems.

Users

WLM benefits various roles within an organization, from technical specialists to business stakeholders. Any employee involved in scaling, managing, or monitoring high-volume automation processes within an organization will either directly use or significantly benefit from WLM capabilities, such as the following:
Automation developers
For automation developers, WLM provides a structured way to handle large volume of data, simplifying the logic for high-volume processes, and ensuring the automations can scale effectively. It abstracts away the complexity of managing parallel execution across multiple devices.
Control Room administrators
Administrators can gain centralized control and visibility over entire automated workloads. They can ensure efficient resource allocation and proactive problem-solving to meet business demands and SLAs.
Business process owners
WLM directly helps process owners to meet business objectives by ensuring high-volume processes are completed efficiently and within agreed-upon timeframes. It offers transparency into the performance of their automated operations.
IT Infrastructure teams
WLM provides clear insights into device utilization, helping IT teams to plan infrastructure requirements more accurately and to ensure the environment supports automation workloads.

Common business use cases for WLM

Some common use cases in these businesses can benefit from WLM:

  • Financial services and banking: Automating loan approvals by prioritizing high-value customers first.
  • Healthcare and insurance: Distributing claims review across multiple tasks with SLA tracking.
  • Telecommunications:
    • Employing WLM for customer service automation, billing tasks, and network monitoring, ensuring smooth handling of varying workloads.
    • Efficiently managing fluctuating task volumes during peak periods by scaling device capacity and workload distribution.
  • Retail and e-commerce: Scaling inventory and order processing during peak workloads such as festive seasons.
  • Manufacturing and supply chain:
    • Automating procurement, quality control, and shipment tracking, ensuring consistent process flow.
    • Balancing workloads across global operations and plants to optimize resource utilization and reduce bottlenecks.
  • IT operations: Handling a multitude of support tickets, system health checks, and data migrations.