Workload Management (WLM) enables organizations to optimize and scale automation processes by breaking large automation volumes into smaller work items processed through a queue-based model.
WLM helps transition automations from single-threaded execution to a queue-based, distributed processing model, 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 infrastructure 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.
- 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 prioritize your tasks.
- SLA enforcement is a requirement.
- Automation failures due to single-bot dependency.
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 capability that handles 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
- Reduces single-bot dependency failures by distributing work items across multiple devices. Supports SLA enforcement with priority-based processing and audit visibility.
Users
- 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
WLM benefits organizations across multiple industries, including:
- Financial services and banking: Prioritizes high-value customer transactions such as loan approvals to meet time-sensitive SLAs.
- Healthcare and insurance: Distributes claims review across multiple devices with SLA tracking to manage large case volumes.
- Telecommunications: Manages customer service automation, billing, and network monitoring across fluctuating workloads during peak periods.
- Retail and e-commerce: Scales inventory and order processing during high-demand periods such as peak shopping seasons.
- Manufacturing and supply chain: Automates procurement, quality control, and shipment tracking across global operations to reduce bottlenecks.
- IT operations: Handles high volumes of support tickets, system health checks, and data migrations in parallel.