We realized that scaling customer service organizations have similar needs. They can benefit from automatically tagging their data to structure it and build a structured customer service organization that is ready to scale.
-Trigger alerts for new arising issues
-Smarter routing to specialized agents
-Prioritize responses by topic
Uses historical data from Zendesk to pull insights and patterns
Automatically builds business customized tags based on those patterns
Shows all tags to the user who can select which tags to apply
Tags tickets in real time in Zendesk
Suggests new tags when the pattern changes
How does it help you?
Structures and increases your data accuracy
Lang.ai gives clear insight on your data by understanding and tagging tickets based on the entire thread. Data accuracy is increased as all of your tickets are tagged and the human error factor is removed.
Builds automations and smarter routing
Lang.ai removes manual processes by helping you route tickets directly to the right agent, perform actions or create automatic replies to tickets.
Updates business rules and scalability
Lang.ai makes changing triggers and automations fast and simple. All tags can be updated from the Lang.ai Dashboard, preventing long manual labor in Zendesk.
Identifies urgent-legal cases
Lang.ai helps you identify, route, and define high priority to sensitive cases.