Automate customer support ticket triage with autonomous AI agents
Customer support teams at tech startups spend hours triaging tickets, monitoring SLAs, and managing macros. An autonomous AI agent handles these workflows end-to-end, 24/7.
Frequently asked question
What is an autonomous AI agent for customer support?
An autonomous AI agent for customer support is a software system that continuously monitors your ticketing system, triages incoming tickets, tracks SLA compliance, and auto-responds to common issues — without needing a human to trigger each action.
Connected tools
Ticketing (Zendesk, Intercom)
Reads and classifies tickets, manages macros, monitors SLAs
Knowledge Base
Searches and links relevant articles in auto-responses
Slack/Teams
Alerts support leads on SLA breaches and escalations
CRM (Salesforce, HubSpot)
Updates customer records based on support interactions
Step-by-step workflow
What the agent can do
- Monitor ticket queue every 5 minutes for new submissions
- Categorize and prioritize tickets by urgency, topic, and customer tier
- Auto-respond to known issues with knowledge base articles
- Track SLA compliance and escalate at-risk tickets
- Suggest and apply macros based on ticket patterns
What the human does
- Review escalated tickets and complex cases
- Update knowledge base with new solutions
- Define new auto-response rules
FAQ
How long to deploy a support agent?
Under 30 minutes. Connect your ticketing system via API and define the mission.
Does the agent replace human support agents?
No. It handles the operational layer so human agents focus on complex cases and customer relationships.
What ticketing systems are supported?
Zendesk, Intercom, Freshdesk, and any system with an API. Custom integrations available.