Similarly to Hop, once the modeler has codified actors and their guiding decision and communication rules, it's time to integrate with existing production systems. Typical Dash integration architecture involves real-time data flowing through to an "iteration wrapper," which is responsible for calling Dash using the desired option settings. The wrapper will run Dash for
n iterations and store the KPI performance from each run. A separate analysis process will typically receive the simulated KPIs, analyze performance against actuals, and recommend changes. This integration flow enables rapid, targeted experimentation without the operational risks typically involved in real-world experimentation.