TICKET MANAGEMENT
Rebalance Front conversations off agents who go offline or over capacity
On a short schedule, scan open Front conversations for agents who are now off-shift or above their cap.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule: every 5 minutes
- ActionRead roster/caps and open conversationsFront
- LogicFlag conversations on off-shift or over-cap agents
- ActionReassign flagged conversations to on-shift teammatesFront
- ActionLog each reassignment to audit tablePostgres
- OutputPost rebalance summary to SlackSlack
What it does
Runs every few minutes to catch conversations stranded on agents who have clocked out or blown past their personal load cap. It pulls those conversations and redistributes them to teammates who are on shift and under cap, then posts a short summary to Slack so the team sees what moved.
When to use it
Use it when agents end shifts mid-conversation or get buried during a spike, leaving tickets sitting unanswered on someone who is gone. This keeps the queue flowing without a supervisor babysitting it.
How it works
- 1A schedule (e.g. every 5 minutes) triggers the run.
- 2The flow reads the agent roster and per-agent caps from Postgres and pulls all open assigned conversations from Front.
- 3A logic step flags conversations owned by off-shift or over-cap agents.
- 4For each flagged conversation it selects an on-shift, under-cap recipient by lowest current load.
- 5It reassigns those conversations in Front and records each move in the Postgres audit log.
- 6A Slack message summarizes how many conversations moved and to whom.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Ticket Management workflows
Intercom Known-Issue Auto-Responder
When a new Intercom conversation matches a known active incident, it attaches the conversation to that incident's parent ticket and sends the customer the current status reply.
Weekly reopen-by-agent coaching digest
Aggregates each agent's solved-then-reopened tickets for the week, identifies the most common reopen reason per agent, and emails a private coaching digest to the support manager.
Deduplicate Discord bug reports against existing Linear issues
Before creating anything, searches Linear for issues matching a new Discord bug report; if a duplicate exists it comments and links the report there, otherwise it opens a fresh…
Enrich Discord bug reports with Sentry errors before filing in Linear
Takes a Discord bug report, has an LLM pull out likely error signatures, searches Sentry for matching events.
Front-to-Linear Recurring Bug Linker
When a Front ticket is tagged as a bug, it searches Linear for an existing matching issue and either links the ticket to that parent issue or opens a new tracked one.
Front Duplicate Conversation Clusterer
When a new Front conversation arrives, it semantically compares the report against open conversations.
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.
