Support & Helpdesk handles the inbound side of the customer relationship: tickets in, answers out. Multi-channel intake (email, in-app, web form, Slack, WhatsApp), routing rules, SLA policies, knowledge-base-backed answers. Agents triage, classify, and draft responses; humans handle the cases that need judgement.
The ticket flow
- Intake - email-to-ticket, web form, in-app help drawer, Slack-Connect channel, WhatsApp Business
- Triage - classifier assigns category + priority + initial route
- Route - to a team / queue / individual based on the routing-rules matrix
- Respond - first reply within SLA (or escalation fires)
- Resolve - mark resolved, customer satisfaction survey, post-resolution analytics
Bundled AI agents
- Ticket Classifier - assigns category + priority on inbound; fires on ticket.created
- Auto-Responder - drafts the first reply using KB-backed answers; agent posts as a draft for human approval, then sends
- KB Suggester - while a human is composing a reply, surfaces relevant KB articles in the side panel
- Sentiment Watcher - flags negative-sentiment trends in a customer's ticket history; escalates to a CSM
Configure on day one
- SLA policies - per priority + per customer tier + per category (first reply, next reply, resolution)
- Routing rules - the matrix that decides which queue a ticket lands in
- Knowledge Base - the corpus the AI draws on (see the RAG and Knowledge Bases guide)
- Macros and Templates - tenant-authored canned responses
- Customer satisfaction (CSAT) survey - global default + per-resolution category overrides
Common workflows
Email lands in support@ -> Classifier categorises + sets priority (sub-second) -> KB Suggester finds three matching articles -> Auto-Responder drafts a reply pulling from the top article -> human reviews + sends -> ticket marked resolved -> CSAT survey fires 24h later. Average first-reply time on tenants using the bundled agents: ~12 minutes.