Make the next process change easier to discuss
Process changes can move a delay somewhere else. Give KAI a mapped process and your assumptions to get an estimate of possible lead-time, cost, and bottleneck movement before the team reviews the change.
Available on Pro and above.
A process change can improve one step while moving the delay or cost somewhere else, and production is a poor place to find out.
Start with the work that is getting stuck
A process map with any recorded processing and waiting times, plus the proposed change and the assumptions you want KAI to consider.
Keep the next step visible
Describe a what-if scenario to KAI; it returns an AI-generated estimate by comparing the current map with the change and assumptions you supplied.
See what moved and what needs attention
Estimated current and proposed lead time, cost, and possible bottleneck movement for the scenario.
Evidence before answers
Move from a recurring problem to a testable cause.
A cause map organizes possibilities. The team still needs evidence before treating any branch as the explanation.
Describe the problem
Agree what is happening, where, and when.
Map possibilities
Gather causes across the 6 Ms with the people doing the work.
Check evidence
Look for observations that support or challenge a cause.
Try a response
Assign a countermeasure and review the result.
Compare process-change assumptions before implementation and see where lead time, cost, or a bottleneck may move.
Compare What-If Assumptions
Describe a change such as automating one step. KAI uses the process map and your stated assumptions to generate an estimated outcome for comparison.
Review Where the Bottleneck May Move
A change can improve one step while moving the delay downstream. The AI response identifies where a bottleneck may emerge under the assumptions in the scenario.
Estimate Lead Time and Cost
Review the estimated lead time and cost change before taking the scenario into a process review.
AI note
This is one AI-generated scenario estimate based on the process map and the assumptions in your request. Check those assumptions with process owners; the response is decision support, not a prediction of production results.
Use Digital Twin Scenario Estimates to make the assumptions behind a process change visible before the team commits to it.