VectorKan
AI triage: automated type, priority, and size suggestion
How smart triage works
When creating a ticket, VectorKan evaluates your input text:
- Type Prediction: Detects whether text describes a bug (e.g. "exception", "crash", "error"), a feature, or a story.
- Priority Suggestion: Recognizes urgency indicators like "blocking checkout" or "typo on landing page".
- Label Matching: Automatically recommends existing project labels found in the ticket text.
Accepting or overriding suggestions
Suggestions appear as non-intrusive badges. You can accept suggestions with a single click or override them with your preferred values.
More guides in AI features
Learn how to use VectorKan's 5 proprietary AI engines: AI Task Decomposer, AI Release Notes Generator, AI Revenue Leakage Auditor, AI Client Reply Assistant, and Acceptance Criteria Enricher.
Prevent duplicate bugs and feature requests before filing. VectorKan scans existing project backlog items and alerts you to potential duplicates in real time.
Leverage historical team velocity to forecast sprint completion dates and receive early warnings when plans exceed capacity.
Learn why VectorKan's intelligence features run locally on your server without transmitting customer ticket text to third-party AI APIs.