See whether improvement work is moving
When ideas and KPI history sit in different places, it is hard to tell what is moving and what needs attention. Ask KAI to review the records already in Lone Nut Kaizen and bring useful patterns into the next review.
Available on Starter and above.
Leadership can see activity without seeing whether the work is changing the measures it was meant to affect.
Start with the work that is getting stuck
Improvement ideas, linked KPIs, status, department and savings or time fields already recorded in Lone Nut Kaizen.
Keep the next step visible
Ask KAI a question about your improvement work; it reviews the relevant idea and KPI data and returns patterns, hypotheses, and suggested actions to check.
See what moved and what needs attention
A conversational analysis with supporting ideas or departments, confidence where a hypothesis is offered, and a suggested next step.
Review what changed
A measure is a prompt for the next question.
Read KPI history alongside the improvement activity intended to affect it. A link gives context, not proof of cause.
Set the measure
Choose a target, unit, and useful threshold.
Record the work
Keep ideas and intended KPI links visible.
Compare over time
Review the readings with the activity history.
Choose what to learn
Decide whether to continue, adapt, or investigate.
Ask one question about your KPIs and ideas, then use the patterns and hypotheses to choose what to investigate next.
Surface Patterns Across Ideas and KPIs
Ask KAI to compare idea activity with KPI performance. For example, it can point out a cluster of Defect ideas in one department alongside movement in a related quality KPI for the team to investigate.
Hypothesis Generation
When a problem comes up, KAI suggests hypotheses grounded in the records it reviewed. A dip in a customer-satisfaction KPI alongside Damage ideas that mention a new packaging material gives the team a concrete lead to check.
Find Finished Ideas Worth Reviewing
Search finished ideas with recorded cost or time savings and compare the context in which they worked. Teams can decide whether a practice is relevant to another department or site.
AI note
KAI highlights patterns and hypotheses, not proven causes. Check the source records and validate any suggested action with the people doing the work.
Use the AI Insight Engine as a starting point for the next improvement conversation, then validate what it finds with your team.