TICKET MANAGEMENT

Hourly Front duplicate-cluster sweep and Slack digest

On an hourly schedule, sweeps the last hour of Front tickets, groups them into duplicate clusters, links each cluster to a canonical conversation.

CategoryTicket Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHourly schedule fires
  • ActionFetch last hour of Front conversationsFront
  • ActionEmbed and cluster by similarityOpenAI
  • LogicKeep clusters with 2+ members
  • ActionLink cluster members to canonical + tagFront
  • OutputPost size-ranked cluster digest to SlackSlack

What it does

Instead of acting per ticket, this runs every hour: it pulls the last hour of Front conversations, clusters them by semantic similarity, picks a canonical conversation per cluster, links the rest to it, and posts a digest to Slack ranked by cluster size so the team spots emerging issues fast.

When to use it

Use it for high-volume queues where per-ticket linking is too noisy and you'd rather see batched clusters and the day's top recurring themes. Complements real-time dedupe rather than replacing it.

How it works

  1. 1An hourly schedule triggers the flow.
  2. 2Front returns conversations created in the last hour.
  3. 3OpenAI embeds each one and groups them into similarity clusters.
  4. 4A logic step keeps only clusters with two or more members.
  5. 5Front links each cluster's members to its canonical conversation and tags them.
  6. 6Slack receives a digest of clusters ranked by size with links to each canonical ticket.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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