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TicketCord includes powerful AI features that help you provide faster, smarter support. From automatic answers to intelligent routing, AI handles the repetitive work so your team can focus on complex issues.
AI features require a Pro or Enterprise plan. View pricing

Available AI Features

How AI Works

All AI features use the same general workflow:
  1. Trigger - Something happens (ticket created, message sent, etc.)
  2. Analyze - AI reads the content and understands context
  3. Action - AI takes an action (suggest answer, route ticket, etc.)
  4. Learn - Feedback improves future accuracy

AI Tokens

AI features use tokens - think of them as the “fuel” for AI operations. Each plan includes a monthly token allowance:
PlanMonthly TokensApproximate Uses
Pro10 million~2,000-5,000 AI operations
Enterprise30 million~6,000-15,000 AI operations
Tokens reset on the 1st of each month. You can monitor usage in AI FeaturesUsage Overview.

What Uses Tokens?

FeatureToken Usage
Knowledge Base suggestion~500-2,000 tokens
Auto-routing analysis~200-500 tokens
Priority detection~200-500 tokens
Duplicate detection~300-800 tokens
Translation~100-500 tokens
Sentiment detection~100-300 tokens
Atlas AI query~500-3,000 tokens
Actual token usage varies based on message length and complexity.

Enabling AI Features

Each AI feature can be enabled independently:
  1. Go to your bot’s dashboard
  2. Select your server
  3. Click AI Features in the sidebar
  4. Toggle on the features you want
You don’t have to use all features - enable only what you need.

Best Practices

Start Small

Don’t enable everything at once:
  1. Start with one feature (like Knowledge Base)
  2. Test it thoroughly
  3. Add more features once you’re comfortable

Monitor Usage

Check your token usage regularly:
  • AI FeaturesUsage Overview shows current usage
  • Set up alerts if you’re approaching limits
  • Consider upgrading if you consistently hit limits

Combine Features

AI features work well together:
  • Priority Detection + Auto-Routing = High-priority tickets go to senior staff
  • Knowledge Base + Sentiment Detection = Calm AI responses for frustrated users
  • Translation + Knowledge Base = AI answers in the user’s language

Review and Adjust

AI isn’t perfect out of the box:
  • Check suggestion quality regularly
  • Adjust confidence thresholds based on results
  • Update your Knowledge Base sources as documentation changes

Need Help?

Get instant support via private DM