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Create Automation Rule

Configure automated workflows for your helpdesk

1
Rule Type
2
Conditions
3
Actions & AI
Basic Information
A descriptive name for this automation rule
Optional: Help your team understand this rule's purpose
Classification
Automatically classify and label conversations
Routing
Route conversations to teams or agents
Auto Response
Generate or send automated responses
Summarization
Automatically summarize conversation content
Sentiment Analysis
Analyze and track conversation sentiment
Higher values execute first (0 is default)
Enable this rule immediately after creation
Trigger Conditions
Define when this rule should trigger. You can combine pattern matching (content-based) and context conditions (metadata-based). Leave empty to apply to all conversations.
Pattern Conditions

Match content using contains, equals, starts with, or regex patterns

No pattern conditions defined. Click "Add Condition" to match content patterns.

Context Conditions

Match based on conversation metadata like priority, sentiment, or keywords

Trigger when conversation contains any of these keywords
Only trigger for conversations with this priority
Only trigger for conversations with this sentiment
Only trigger for new or returning contacts
Classification Actions
Select one or more labels to apply when this rule matches
0.70
70%
Only apply labels when AI confidence is above this threshold
Post the AI's reasoning and analysis as a private note in the conversation thread

AI Configuration
Use AI to enhance rule execution
Select the AI provider
Leave empty to use provider default
0.3
0.3
Lower values make output more focused, higher values more creative
0.70
70%
Override or extend the default prompt for this rule type

Cancel
About Automation Rules

Automation Rules unify content-based pattern matching with AI-powered automation. Configure rules to:

  • Classify conversations with labels automatically
  • Route to the right team or agent
  • Respond with AI-generated messages
  • Summarize long conversation threads
  • Analyze customer sentiment in real-time
Condition Types
Pattern Conditions

Match message content, subject, or contact info using contains, equals, starts with, or regex patterns.

Context Conditions

Match based on metadata like keywords, priority, sentiment, or contact type.

Classification

Automatically classify and label conversations

Testing Recommended
After creating a rule, use the "Test" feature to verify it works as expected before enabling it in production.
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