NLP Intake & Classification
Natural language processing for automatic ticket categorization and sentiment analysis
NLP Intake & Classification brings advanced natural language understanding to every ticket that enters your service desk. Rather than relying on end users to correctly categorize their issues, the AI reads the full text of each submission and determines the true intent, affected service, and emotional tone.
The system continuously learns from your technicians' re-classifications, building an ever-improving model specific to your MSP's client base. Over time, classification accuracy increases as the model adapts to your unique terminology and service catalog.
Sentiment analysis adds another dimension — detecting frustrated, anxious, or satisfied language patterns helps prioritize tickets where client relationships may be at risk, even before the issue itself is severe.
How It Works
Parse
NLP engine extracts key entities, intent, and context from the raw ticket text.
Classify
Multi-label classification assigns category, subcategory, and affected service from your catalog.
Analyze Sentiment
Tone and urgency are scored to flag emotionally charged tickets for priority handling.
Enrich
AI appends classification metadata and confidence scores to the ticket record.
AI Capabilities
Multi-label classification
Named entity recognition
Sentiment analysis
Continuous learning from corrections
Human-in-the-Loop Checkpoints
- Override classifications when confidence is low
- Review misclassified tickets to improve model
Key Metrics
Connected Process Areas
This process area integrates with related capabilities across the platform.
See NLP Intake & Classification in Action
Experience AI-powered service desk automation — from insight to action in a single platform.