CUSTOMER SUPPORT
Front Macro-Gap Detector: Tag-Spike Triggered Macro Proposal
When a Front conversation tag spikes in volume, it samples the manual replies under that tag, drafts a candidate macro with an LLM.
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation tagged eventFront
- LogicDetect tag volume crossing spike threshold
- ActionSample recent manual replies under that tagFront
- ActionAssess consistency and draft a candidate macroOpenAI
- LogicConfirm no existing macro covers the tag
- OutputPost proposal to Slack with approve/dismiss buttonsSlack
What it does
Reacts in near real time to emerging support topics. When a Front tag suddenly gets busy, this workflow inspects the hand-typed replies agents are sending under that tag, recognizes that no macro covers it, and proposes one before the backlog grows.
When to use it
Use it during incidents, launches, or seasonal surges when a new question type appears fast and your existing macros do not cover it. It catches gaps the same day instead of waiting for a weekly review.
How it works
- 1A Front event fires when conversations are tagged, and a logic step detects when a tag's volume crosses a spike threshold.
- 2The workflow pulls a sample of recent manual replies carrying that tag.
- 3An OpenAI step checks whether the answers are consistent enough to template, and if so drafts a single macro covering the topic.
- 4A logic gate confirms no existing macro already matches the tag.
- 5The proposed macro is posted to Slack with approve/dismiss actions so a lead can greenlight it on the spot.
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.
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.