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.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

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 tablePostgreSQLPostgres
  • 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

  1. 1A schedule (e.g. every 5 minutes) triggers the run.
  2. 2The flow reads the agent roster and per-agent caps from Postgres and pulls all open assigned conversations from Front.
  3. 3A logic step flags conversations owned by off-shift or over-cap agents.
  4. 4For each flagged conversation it selects an on-shift, under-cap recipient by lowest current load.
  5. 5It reassigns those conversations in Front and records each move in the Postgres audit log.
  6. 6A Slack message summarizes how many conversations moved and to whom.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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