CUSTOMER SUPPORT
Escalate Front conversations in unsupported languages to Slack for human triage
Detects the language of new Front conversations and, when it falls outside your supported regional teams, tags the conversation and pings a Slack triage channel with a translated…
How it runs
The automated pipeline, trigger to output.
- TriggerNew inbound conversation in Front inboxFront
- ActionDetect language and confidence with OpenAIOpenAI
- LogicBranch: language not in supported-team list
- ActionSummarize request in EnglishOpenAI
- ActionTag conversation 'unsupported language' in FrontFront
- OutputAlert Slack triage channel with summary and linkSlack
What it does
Some languages have no dedicated agent. Instead of letting those conversations stall silently, this template catches them: it detects the language, checks it against your list of covered teams, and for anything unsupported it flags the conversation in Front and alerts a Slack triage channel with an English summary so a human can decide who handles it.
When to use it
Use it when your regional coverage is incomplete and you want a guaranteed escalation path for rare or unexpected languages, rather than discovering an aging conversation days later. It pairs well with the standard regional-routing template, catching only the cases that template can't auto-route.
How it works
- 1A new conversation in the watched Front inbox triggers the flow.
- 2OpenAI returns the detected language code and confidence.
- 3A branch checks the language against your supported-team list; covered languages exit here.
- 4For uncovered languages, OpenAI generates an English summary of the request.
- 5Front applies an "unsupported language" tag so the conversation is visible in filters.
- 6A Slack message posts to the triage channel with the language, summary, and a link to the conversation.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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