Process Simulation
Simulate your business processes to predict outcomes, test changes, and optimize workflows before implementation.
Setting up a simulation requires realistic parameters: arrival rates, processing times, and resource capacities. AI-assisted simulation removes the guesswork by generating these parameters for you, either from your process model or from your actual process data.
When you configure a simulation, the Auto Configure feature can populate your simulation parameters in two ways:
Both approaches save time and produce simulations grounded in realistic assumptions.
To have AI suggest parameters from your model:
AI-Suggested is ideal when you have a model but no historical data, or when you want a quick starting point.
To base your simulation on real behavior:
Observed from Data produces the most realistic results because the parameters reflect how the process actually performs. See What-If Analysis with Simulation for how to compare simulated results against real data.
For a full overview of every control, see the Simulation Interface Reference and Running a Simulation.
AI-assisted configuration uses a few AI credits per action. Your organization’s balance and monthly allowance are shown on the Usage and Credits screen.
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