CUSTOMER SUPPORT

Auto-Reply Front Tickets With Linked Sentry Issue Status

When a Front conversation is linked to a known Sentry issue, this watches that issue's status and drafts a customer-facing Front reply whenever it moves to resolved.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry issue marked resolvedSentrySentry
  • ActionFind Front conversations linked to the issueFront
  • LogicKeep conversations awaiting a closing reply
  • ActionDraft customer-facing resolution replyOpenAI
  • OutputStage Front draft and ping agent in SlackSlack

What it does

For Front conversations already correlated to a Sentry issue, it monitors the issue's resolution state. When Sentry marks the issue resolved, it drafts a friendly customer-facing reply in the originating Front conversation telling the reporter the bug is fixed, and notifies the assigned agent in Slack to review and send. No more orphaned tickets that never get a closing reply.

When to use it

Use it when customers report bugs through Front and your team forgets to circle back once engineering ships the fix, leaving people wondering if anyone listened.

How it works

  1. 1A Sentry webhook fires when a correlated issue's status changes to resolved.
  2. 2Front is queried for all conversations linked to that issue's fingerprint.
  3. 3A logic step keeps only conversations still awaiting a resolution reply.
  4. 4An OpenAI step drafts a tailored customer-facing reply per conversation.
  5. 5The draft is staged in Front and a Slack ping asks the assigned agent to review and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect FrontShared inbox, conversations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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