Why Use an AI Agent for Odoo Helpdesk?
Odoo Helpdesk configuration involves setting up support teams, ticket routing, SLA policies, email integration, knowledge base articles, and customer self-service portals. Each element interacts with the others — SLA timers depend on ticket stages, routing depends on team skills, and email aliases create tickets in specific teams. An AI agent handles these dependencies correctly from the start.
What the Agent Configures
Support Teams
- Team names, members, and team leaders
- Email aliases for automatic ticket creation ([email protected] → creates ticket in General Support team)
- Assignment methods: manual, random, balanced, or by skills
- Working hours for SLA calculation
- Visibility settings (internal-only vs customer-facing)
Ticket Stages
| Support Type | Recommended Stages |
|---|---|
| General Support | New → In Progress → Awaiting Customer → Resolved → Closed |
| Technical Support | New → Triaged → Investigating → Fix In Progress → Testing → Resolved |
| Bug Reports | Reported → Confirmed → Assigned → In Development → QA → Released |
| Feature Requests | Submitted → Under Review → Planned → In Development → Released |
SLA Policies
The agent creates SLA rules based on your support commitments:
- Critical — First response: 1 hour, Resolution: 4 hours
- High — First response: 4 hours, Resolution: 1 business day
- Medium — First response: 8 hours, Resolution: 3 business days
- Low — First response: 1 business day, Resolution: 5 business days
SLA timers are configured to pause during non-working hours and when the ticket is in "Awaiting Customer" status.
Email Integration
- Incoming email server configuration for ticket creation
- Auto-reply templates confirming ticket receipt
- Email-to-ticket field mapping (subject → title, body → description)
- Attachment handling
- Reply-by-email threading
Canned Responses
The agent creates response templates for common scenarios:
- Ticket acknowledgment
- Request for more information
- Known issue response with workaround
- Escalation notification
- Resolution confirmation and satisfaction survey
- SLA breach apology and escalation
Customer Portal
- Self-service ticket submission form
- Ticket status tracking for customers
- Knowledge base article access
- FAQ integration
- Rating and feedback after resolution
Automation Rules
- Auto-assign tickets based on keywords or customer segment
- Escalate tickets approaching SLA deadline
- Auto-close resolved tickets after 7 days of inactivity
- Send satisfaction survey after ticket closure
- Notify team lead on SLA breach
Integration with Other Modules
- CRM — Link support tickets to customer opportunities
- Sales — View customer support history on sales orders
- Timesheets — Track support time for billable support contracts
- Knowledge — Suggest articles based on ticket content
- Live Chat — Convert chat conversations to helpdesk tickets
Metrics and Reporting
The agent configures dashboards for:
- Average first response time and resolution time
- SLA compliance rate by team and priority
- Ticket volume trends (daily, weekly, monthly)
- Customer satisfaction scores
- Agent performance metrics
Getting Started
Deploy Odoo on DeployMonkey and describe your support operations: team structure, SLA commitments, email addresses for ticket creation, and escalation procedures. The AI agent configures the helpdesk while you train your support team.