CUSTOMER SUPPORT

Route SLA-at-risk Front tickets by skill tag and page on-call when none match

When a Front conversation nears SLA, it routes the ticket to an available agent who carries the matching skill tag.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerTagged Front conversation enters SLA-risk windowFront
  • ActionFind online agents matching the skill tagsFront
  • LogicAssign to least-loaded qualified agent, else fall through
  • ActionAssign conversation in Front to matched agentFront
  • OutputPage on-call specialist in PagerDuty when no matchPagerDutyPagerDuty

What it does

This workflow reacts to SLA-at-risk Front conversations by routing on expertise, not just availability. It reads the conversation's topic tags, finds online agents whose skill set matches, and assigns to the least-loaded qualified person. If no skilled agent is available before the deadline, it triggers a PagerDuty incident so the right specialist is paged.

When to use it

Use it for inboxes mixing billing, technical, and account questions where a fast-but-wrong assignment just causes a second handoff. It protects SLA while keeping tickets with people who can actually resolve them.

How it works

  1. 1A Front rule fires when a tagged conversation enters the SLA-risk window.
  2. 2The flow extracts the conversation's skill tags and queries Front for matching online agents and their loads.
  3. 3A routing step assigns to the least-loaded qualified agent when one exists.
  4. 4If no skilled agent is available, it opens a PagerDuty incident for the on-call specialist.
  5. 5Front records the routing decision (assigned agent or paged on-call) as an internal comment.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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