TICKET MANAGEMENT

Approve-to-Merge: Execute Front Conversation Merges from Slack

Listens for an agent clicking Approve on a Slack merge suggestion, then merges the duplicate Front conversations, links them, and confirms the result back in the thread.

CategoryTicket Management
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAgent clicks Approve in SlackSlack
  • LogicParse survivor + duplicate IDs from payload
  • LogicVerify both conversations still open
  • ActionMerge, note, and archive in FrontFront
  • ActionRecord merge in audit logPostgreSQLPostgres
  • OutputUpdate Slack thread to Merged statusSlack

What it does

This is the action half of the merge loop. When an agent clicks Approve on a duplicate suggestion in Slack, the workflow performs the actual merge in Front, archives the duplicate, leaves an internal note pointing to the surviving conversation, and confirms back in Slack.

When to use it

Pair it with a detector that posts merge suggestions. Use this when you want human approval to stay mandatory but the merge mechanics to be fully automated, so agents never touch Front to combine tickets.

How it works

  1. 1A Slack interaction webhook fires when an agent clicks the Approve button on a suggestion.
  2. 2The workflow parses the payload to read both conversation IDs and which one is the survivor.
  3. 3A guard checks that both conversations are still open and unmerged to avoid double-merging.
  4. 4The workflow moves the duplicate's messages into the surviving Front conversation, adds an internal note linking them, and archives the duplicate.
  5. 5The merge outcome and surviving link are written to Postgres for an audit trail.
  6. 6A confirmation replaces the Slack buttons with a Merged-by-agent status in the original thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect FrontShared inbox, conversations.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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