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.
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 matchPagerDuty
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
- 1A Front rule fires when a tagged conversation enters the SLA-risk window.
- 2The flow extracts the conversation's skill tags and queries Front for matching online agents and their loads.
- 3A routing step assigns to the least-loaded qualified agent when one exists.
- 4If no skilled agent is available, it opens a PagerDuty incident for the on-call specialist.
- 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.
- 1Connect FrontShared inbox, conversations.
- 2Connect PagerDutyIncidents, on-call, escalations.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Customer Support workflows
Close the loop with requesters when a Linear bug moves to Done
When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…
Reopen and notify Front conversations when their bug fix deploys
When a deploy resolves a Sentry issue, find the snoozed or closed Front conversations linked to it, reopen them, and send the customer a reply that the fix is now live.
Suggest the right Loom video by classifying Intercom message intent
Reads each new inbound Intercom conversation, classifies what the customer is trying to do, and surfaces the best-matching Loom walkthrough to the agent as an internal note.
Draft personalized fix-live replies for support to review
When a Sentry issue resolves, an agent reads each linked ticket's full thread and drafts a tailored 'your fix is live' reply per requester.
Send a tailored Loom onboarding sequence on Front first-reply
When a new customer's first email lands in Front, this picks the Loom onboarding walkthroughs matching their plan and use case, builds a friendly sequenced reply.
Article Volume-Rebound Early Warning (Datadog)
Streams support ticket-tag events into Datadog, watches for topics whose volume is reaccelerating against a decaying article.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
