CUSTOMER SUPPORT
Tag Front inbox messages and draft a canned reply for agent approval
On each new Front message, detects the topic, applies a Front tag, and drafts a context-aware canned reply as a comment so agents can review and send instead of writing…
How it runs
The automated pipeline, trigger to output.
- TriggerNew inbound message in FrontFront
- ActionClassify topic and draft reply with OpenAIOpenAI
- LogicSkip drafting for spam or auto-replies
- ActionApply topic tag to the Front conversationFront
- OutputPost drafted reply as an internal commentFront
What it does
This workflow watches a Front inbox, identifies the topic of each inbound message, tags the conversation accordingly, and generates a tailored draft reply. The draft is posted as an internal comment on the conversation, keeping a human in the loop while removing the cold-start of every response.
When to use it
Use this for shared-inbox teams on Front who want faster, more consistent first replies without fully automating customer-facing messages. Good for high-volume, repetitive question patterns where a reviewed draft beats a templated send.
How it works
- 1A new inbound message in Front triggers the flow.
- 2OpenAI classifies the topic and drafts a reply grounded in the message content.
- 3A logic step skips drafting for spam or auto-replies and only tags those.
- 4An action applies the topic tag to the Front conversation.
- 5The output posts the drafted reply as an internal comment for the assigned agent to approve and send.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Customer Support workflows
Send a tailored Loom onboarding sequence on Front first-reply
When a new customer's first email lands in Front, this picks the Loom onboarding walkthroughs matching their plan and use case, builds a friendly sequenced reply.
Suggest the right Loom video by classifying Intercom message intent
Reads each new inbound Intercom conversation, classifies what the customer is trying to do, and surfaces the best-matching Loom walkthrough to the agent as an internal note.
Draft personalized fix-live replies for support to review
When a Sentry issue resolves, an agent reads each linked ticket's full thread and drafts a tailored 'your fix is live' reply per requester.
Close the loop with requesters when a Linear bug moves to Done
When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…
Reopen and notify Front conversations when their bug fix deploys
When a deploy resolves a Sentry issue, find the snoozed or closed Front conversations linked to it, reopen them, and send the customer a reply that the fix is now live.
Tell Intercom users their reported bug shipped after a Vercel deploy
On a successful Vercel production deployment, match the release's resolved Sentry issues to Intercom conversations and message each affected user that their reported issue is…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.