CUSTOMER SUPPORT

Hourly SLA-breach forecaster and agent router

Every 15 minutes, scores all open Front conversations for likelihood of breaching their SLA in the next hour based on queue depth and time-to-deadline.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 15 minutes
  • ActionList open Front conversations with SLA + wait timeFront
  • LogicScore breach probability (deadline x queue depth x handle time)
  • LogicFilter to conversations above risk threshold
  • ActionReassign at-risk conversations to available agentsFront
  • OutputPost reroute summary to support ops SlackSlack

What it does

This workflow runs a rolling forecast across your open Front inbox and predicts which conversations are about to miss their SLA target inside the next 60 minutes. It weighs each conversation's remaining time-to-breach against current queue depth and recent agent throughput, ranks the at-risk set, and proactively reassigns the top offenders to agents who currently have capacity — before the clock actually runs out.

When to use it

Use it when your support team works to a strict first-response or resolution SLA and breaches tend to happen in bursts during traffic spikes. It is most valuable for mid-to-large teams where manual triage can't keep up with inbound volume and a missed SLA carries contractual or CSAT cost.

How it works

  1. 1A schedule fires every 15 minutes.
  2. 2The flow pulls all open Front conversations with their SLA deadlines, assignee, and wait time.
  3. 3A scoring step computes breach probability from time-to-deadline, queue depth, and rolling handle time.
  4. 4A filter keeps only conversations scoring above the risk threshold.
  5. 5For each, the flow finds an available agent and reassigns the Front conversation.
  6. 6A summary of rerouted conversations is posted to the support ops Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  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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