You can use Kiami to create a troubleshooting knowledge base for your manufacturing equipment and facilitate seamless collaboration across teams and sites, use decision trees to aggregate expert insights, and leverage AI to retrieve diagnostics and repair recommendations from internet-based knowledge.
With Kiami's AI-powered troubleshooting, our customers have experienced a significant 30-70% reduction in average repair time, achieved savings in annual spare parts costs through optimized usage, along with a remarkable decrease in support calls of up to 40% thanks to its self-service features.
Unplanned Downtimes (breakdowns)
Parts Annual Costs
New workers' learning curve
Troubleshooting Knowledge Base
Are you currently utilizing an incident management/ticketing system?
Kiami allows you to gather your team's troubleshooting knowledge base and seamlessly connect your system with Kiami. When logging incidents in your system, Kiami will generate diagnostic and repair suggestions, minimizing repair time and costs.
Some customers implement Kiami as a troubleshooting layer that complements their incident management or predictive maintenance systems, facilitating failure troubleshooting, reducing downtimes, and enabling the sharing of best practices across teams and sites.
What clients say ?
"Kiami helped us to preserve years of technical experience and best practices and share them with the maintenance team. Kiami assisted the team in reducing downtimes and training new technicians more effectively."
ELON SHAKED, GLOBAL MAINTENANCE TEAM, PALZIV
Why adopt Kiami ?
by up to 70%
Reduce learning curves
and minimize losses due to skilled workers’ departure
reducing parts costs, rework, waste and delays
Empower operational stuff
while reducing calls to
support by up to 50%
among teams and across
while introducing of new process or product