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AI-Powered Troubleshooting and Service Calls
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 generate diagnostics and repair recommendations from internet-based knowledge sources.
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.
MEASURED BENEFITS
Unplanned Downtimes (breakdowns)
Parts Annual Costs
Support Calls
(Self-service)
New workers' learning curve
KNOWLEDGE LAYERS
Troubleshooting Knowledge Base
Expert Wizard/
Desicion Trees
AI
INTEGRATION
Are you currently utilizing an help desk / ticketing system?
Kiami allows you to gather your team's troubleshooting knowledge base and seamlessly connect your help desk system with Kiami. When logging tickets in your system, Kiami will generate diagnostic and repair recommendations, minimizing repair time and costs.
Some customers implement Kiami as a troubleshooting layer that complements their ticketing or predictive maintenance systems, facilitating failure troubleshooting, reducing downtimes, and enabling the sharing of best practices across teams and sites.
Why adopt Kiami ?
Cut downtimes
by up to 70%
Reduce learning curves
and minimize losses due to skilled workers’ departure
Improve efficiency
reducing parts costs, rework, waste and delays
Empower operational stuff
while reducing calls to
support by up to 50%
Collaborate
among teams and across
manufaturing sites
Shortened ramp-up
while introducing of new process or product
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