AI-Powered Customer Support Automation Workflow
Ready-made WorqHat template
Launch "AI-Powered Customer Support Automation Workflow" as a workflow
Duplicate this recipe inside WorqHat to get the outlined triggers, nodes, and delivery logic preconfigured. Update credentials, recipients, and copy, then ship it to production.
- • All workflow nodes referenced in this guide
- • Structured JSON outputs for dashboards and mailers
- • Inline documentation for faster handoffs
Get started checklist
- 1. Duplicate the workflow template.
- 2. Connect your datasource and credentials.
- 3. Customize content and recipients.
AI-Powered Customer Support Automation Workflow
This workflow replaces manual ticket sorting with an AI-driven triage system. It:
- Extracts ticket details from form submissions
- Uses AI to classify priority + category
- Logs all tickets in your WorqHat database
- Sends an acknowledgement email to the customer
- Automatically routes internal alerts to the right team
A single pipeline now manages the entire support lifecycle with consistency and accuracy.
Workflow Summary (7 Nodes)
1. REST API Trigger
Activated whenever a support form is submitted.
Accepts formdata including:
- username
- message
- attachments (optional)
Feeds raw inputs to the AI node.
2. Text Generation (AI Analysis)
Purpose: Clean and interpret user-submitted data.
The AI performs three operations:
- Extracts structured fields (username, issue summary, keywords)
- Determines priority (high / medium / low)
- Determines category (bug / billing / default)
Generates:
- personalized acknowledgement mail text
- the "case type" value to drive routing
The output is used by both the database and Switch node.
3. Add New Data
Logs each ticket into your collection with the following fields:
id- Auto-generated ticket IDemail- Customer email addressquery- Issue summary extracted from the messagestatus- Ticket status (set to "open")priority- AI-assigned priority (high / medium / low)username- Customer usernamecreated_at- Timestamp of ticket creationupdated_at- Timestamp of last updateresolved_at- Resolution timestamp (null initially)
This becomes the single source of truth for all support activity.
4. Send Mail (Customer Acknowledgement)
Sends an automated confirmation to the user:
- includes ticket ID
- includes AI-generated personalized message
- assures follow-up based on urgency
Delivered instantly after form submission.
5. Switch Case
Reads the category generated by the AI.
Routes the ticket to the appropriate internal team:
Bug→ EngineeringBilling→ Financedefault→ Support Queue
Each branch goes to its own mailer.
6. Internal Mail Nodes
Each category (bug, billing, default) sends a targeted internal email containing:
- ticket details
- user info (email, username)
- priority
- query summary
- direct link to the database record
Ensures the right team receives the right ticket instantly.
7. Return State
Returns a structured JSON confirming:
- workflow completed
- category assigned
- customer notified
- team notified
Useful for monitoring, dashboards, or chaining additional workflows.
Outcomes
- Automatic triage for all incoming support tickets
- Consistent prioritization using AI-driven analysis
- Zero manual sorting inside the support inbox
- Faster escalation to engineering and finance
- Improved customer experience with immediate acknowledgement
- Centralized database for reporting and QA
Recommended Extensions
- Add Slack/Discord notifications for critical priority tickets
- Add HTML → PDF for generating internal ticket reports
- Add Loop Mail for multi-team alerts (e.g., security issues)
- Add If-Else logic to escalate High Priority bugs directly
- Add Text Gen to draft suggested replies for support agents
Next Steps
Use this pattern to automate any support or operations pipeline:
- onboarding forms
- refund requests
- lead qualification
- escalation workflows
👉 Build this workflow in WorqHat and transform your support operations.
