Feature
AI Similarity Search
Understand meaning. Not just match keywords.
When a new ticket is created, the AI searches for semantically similar historical cases — regardless of how the problem was described. The result: immediately relevant solution history for every dispatcher.
Semantically identical. Textually different.
Keyword search would not connect these pairs. Semantic vector search does.
What the Solution Checklist Contains
Distilled from real cases
No AI-invented steps. Only actual solution steps from historically similar, successfully resolved tickets.
Time estimates included
Each step includes an expected processing time based on historical data. Dispatchers and technicians see total effort at a glance.
Fully editable
Dispatchers can reorder, remove, add, or override steps. The checklist is a starting point, not a directive.
Feedback loop
Technician feedback on each checklist improves future similarity matches for the same problem category.