Process Optimization

To compete successfully in today's global and highly competitive business ecosystem requires the means to provide products and services in the most efficient manner possible. LSPS ensures that the processes behind that delivery are optimized against your key performance indicators.

By combining powerful analytics with its cutting edge goal oriented process design, LSPS continuously monitors and analyzes business processes to reduce costs, reduce processing times, increase flexibility, and optimize business flows. From the big picture to the smallest detail, LSPS works to ensure that each process is performed with maximum efficiency.

Continuous Process Improvement

Model changes, such as adding a new activity plan to a goal, can be applied anytime and immediately using the integrated or Web-based model management tool. This supports iterative modeling practices and promotes continuous operational improvement by minimizing the effort, lag, and cost of process change. Whether the process manager wants to make a planned update or an ad-hoc correction, she can simply apply an updated model to a process, even if it is already running.

As each activity plan is a different way of achieving a process goal, exceptions can be added to a process safely and without causing ripple effects throughout the whole model. Powerful validation and migration wizards ensure that even very extensive changes don't break the process and its data.

Self-adaptive Process Optimization

Any process model can be designed to incorporate governance goals which continuously monitors states and events within or outside the process, for instance time elapsed or a resource level.

The LSPS Process Engine pursues process goals by selecting and executing those activity plans that will most optimally achieve them. Selection of plans is automatic, and can take into account a broad variety of factors including key performance indicators, business policies, and resource availability.

They autonomously optimize the process flow or trigger another process to keep cost, time, or any other key business-relevant metrics in check.