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How ProcessModel Improves Processes

ProcessModel helps you improve a process the same way every time: capture the current process as a working model, run it to see how it really performs, and test changes safely before you commit to them.

Describe the process to your own AI app and, with PM AI Bridge, it can build the working model on the canvas for you. You can watch it work, and you can take control at any time.

Run the model and ProcessModel records what happened: how long entities waited, how busy each resource was, and where cost built up. The results open in the Output Report, with an Overview that names your constraint, an Impact Analysis that ranks the bottlenecks, and a Queue Diagnostics heatmap that shows where work piles up.

Simulation predicts how a change will perform before you make it for real. Change the model, run it again, and compare the current state against the future state side by side. Keep asking for the next opportunity until the numbers stop improving.

A running model makes the case in a way a spreadsheet cannot. Show people why the process behaves as it does, and why one change works while another does not. When they understand the reasoning, they support the fix.

LegacyHow this worked in the previous version

Convert non-flowchart information into a model in seconds. ProcessModel AI uses AI to summarize information into an efficient model. It removes unnecessary steps, adds logically necessary steps, provides initial time estimates, and suggests the percentage likely to fall prey to exceptions. All of this is presented in a ready-to-use format.

Building a model prompts you to ask questions and connect information you may not have fully understood before. Additionally, modeling reveals the critical timing needed for optimal performance. Finally, understanding how things work helps us develop solutions that address the actual problem.

What if you could have top improvement experts review your model, analyze the output, and recommend changes prioritized by importance, with the sole goal of improving your system? Output Report AI accomplishes all of this in just a few minutes, providing critical, system-specific recommendations to tackle the most urgent issues.

Simulation is the most effective method for predicting how process changes will impact performance. Compare options side by side by implementing any change in the model first. Each time you make a change, ask Output Report AI to identify the next opportunity. No other technology offers such an accurate prediction of future performance based on process modifications.

Show stakeholders why the current process performs as designed. Then, involve others in understanding why specific changes succeed while others don’t. When they grasp the reasoning, they’re more likely to support the best solution.