
Overviews
How it works?
Parse customer messages for intent recognition
When customers send messages through chat, email, or forms, Wit.ai analyzes the text to identify their underlying intent, enabling appropriate automated responses or routing to specialized teams.
Extract entities from user requests
Important information like dates, locations, product names, and quantities are identified and extracted from customer messages, populating forms or database fields without requiring structured input.
Route conversations based on detected topics
Messages are categorized by subject matter and directed to appropriate departments, chatbots, or response workflows, ensuring each inquiry reaches the right resource for efficient handling.
Trigger actions from voice commands
Spoken instructions processed by Wit.ai are converted into actionable commands that execute specific workflows, enabling hands-free operation and voice-controlled application features.
Generate structured data from natural language
Unstructured text input is analyzed and converted into organized data records, enabling users to create entries through conversational interaction rather than form filling.
Identify customer sentiment in messages
Messages are evaluated for emotional tone and urgency, allowing priority routing for frustrated customers or escalation of critical issues to ensure appropriate response levels.
Automate responses to common questions
Frequently asked questions identified through intent recognition receive immediate automated answers, reducing support workload while providing instant assistance to users with standard inquiries.
Update CRM records from conversation insights
Information extracted from customer conversations is used to enrich CRM profiles, tracking preferences, needs, and interaction history to enable more personalized future engagements.

Configure
Build
Intelligent customer support routing system
Build a support system that understands customer inquiries, identifies issues, extracts relevant details, and routes tickets to appropriate teams with pre-populated information. This workflow reduces resolution time while improving accuracy of ticket assignment.
“You can’t do this anywhere else.”



















































Your stack,
connected.

