AI Agent Triggers Reference
TL;DR
Wrike agent triggers define when an AI agent runs. Choose a trigger type - Scheduled, Event-based, Date-based, API-triggered, or Wrike Automations - then set the scope (any subitem or the item itself). AI Agents can read most custom field types, authors, assignees, parent/sibling/subtask data, and location context to automate workflows like intake, triage, reminders, and reporting.
| Availability: Business, Pinnacle, Apex. ; Unavailability: Free, Team; |
- Overview
- AI Agent Trigger Types Trigger Types
- How AI Agents Can Read Custom Fields
- Trigger Scope
- What’s Next?
Overview
Triggers define when an AI agent runs. Choose the trigger type that matches your workflow, then set the scope that determines which items the trigger applies to.
AI Agent Trigger Types Trigger Types
| Trigger type | When it fires | Example |
|---|---|---|
| Scheduled | At a set interval (Daily, Weekly, or Custom) | A risk status reporter that runs daily |
| Event-based | On events such as New item created or Field value changes (status or other fields) | Fire when status changes |
| Date-based | Relative to a date field value | "3 days before Due Date" or "When Start Date is reached" |
| API-triggered | When changes are made via the Wrike API | Integration with external systems |
| Wrike Automations | Bidirectional with Automations - rules can trigger AI agents, and agent actions can activate rules | Complex multi-step workflows combining AI + rule-based automation |
Note
Date-based details: Works with Date and Date-time custom fields, supports working-days calculation. Ideal for reminders, escalations, and deadline-based actions.
How AI Agents Can Read Custom Fields
AI agents can read and react to these custom field types: Text, Number, Percent, Currency, Date, Single Select, Multi Select, Duration, Checkbox, Link to Database, Mirrors, and Calculated/formula fields.
In addition to custom fields, AI agents can read:
- Author and assignee of the work item
- Empty custom fields - agents can reason about what's missing, not just what's present
- Calculated/formula fields - can expose system data agents can't access directly (capacity, workload, scheduled hours)
- Parent item custom fields
- Sibling and subtask items for cross-item reasoning
- Location context - where the agent sits in the space and account hierarchy
Trigger Scope
Set the scope for when the trigger should happen:
Any subitem of the work item where the AI Agent was added
- Use for task-level actions, like Intake or Triage. The AI agent reacts to changes in subitems and acts on those subitems.
- Example: The Intake agent is added to an Incoming Requests folder. When a new subitem is added, it triggers the AI agent to check if all required information (like assignee or due date) is provided, then posts a comment to that subitem.
Item where the AI Agent was added
- Use for aggregate actions, like a risk reporter. The AI agent reacts to changes in this item and acts on this same item.
- Example: A custom agent is added to a Product Launch project to notify followers about changes. If any custom field changes, the AI agent posts a comment and @mentions all followers.
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