Workflow Catalog

AI support ticket routing

Classify, summarize, and route tickets so agents see intent, urgency, and suggested replies—not raw walls of text.

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Outbound link is a placeholder — swap for templates, partner programs, or gated downloads when you are ready.

Workflow overview

Support queues drown in duplicates and mis-tagged issues. A routing workflow uses LLMs for triage labels and draft replies while keeping humans in the loop for refunds, security, and edge cases.

Design for auditability: store model outputs as structured fields, not silent overwrites of customer messages.

Step-by-step automation flow

Ordered stages you can map to triggers, queues, and owners — reuse blocks side-by-side on compare pages later.

  1. Step 1
    Ticket created → fetch order/account context from CRM and append as structured JSON.
  2. Step 2
    Model returns intent, urgency, language, and suggested macro ID with confidence scores.
  3. Step 3
    If confidence high and policy allows, pre-fill reply for agent one-click send.
  4. Step 4
    If low confidence or sensitive category, route to senior queue with escalation reason.
  5. Step 5
    Close loop: write tags back to CRM and feed misroutes into weekly prompt eval set.

Recommended tools & playbooks

Internal links to integrations or software pages — swap for database-driven edges when you wire the graph.

  • Airtable + Zapier for triage tables
    /integrations/airtable-zapier
    Open

Expected outcome & benefits

First-response time improves, handle time drops for repetitive intents, and quality stays controlled because policy gates—not model enthusiasm—decide what goes to customers.

More in this topic: AI customer support

Same-cluster pages only — no site-wide recommendations.

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Workflows

  • Lead routing automation
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  • Customer onboarding workflow
    Turn “signed contract” into “first success milestone” with sequenced tasks, nudges, and health checks.
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Integrations

  • Airtable + Zapier
    Glue spreadsheets-as-databases to the rest of your stack with guardrails and observability.
    Open playbook