CUSTOMER SUPPORT
Daily At-Risk Digest for the Save Specialist
Each morning compiles every Front thread flagged at-risk in the last 24 hours into a single prioritized briefing — ranked by anger and account value.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily morning schedule
- ActionFetch last 24h of at-risk Front threadsFront
- ActionLook up plan tier and account value in AirtableAirtable
- LogicSummarize and rank by anger and account value via OpenAIOpenAI
- OutputSend prioritized digest to save specialist in SlackSlack
What it does
Once a day it gathers all Front conversations tagged `at-risk` or scored negative in the prior 24 hours, looks up each account's plan tier in Airtable, and asks OpenAI to draft a one-line situation summary and suggested next action per thread. It ranks them by a blend of anger severity and account value, then posts a single ordered digest to the save specialist in Slack — turning a scattered set of flags into one actionable worklist.
When to use it
Use it when angry threads are already being flagged through the day but your save specialist has no consolidated view of what to tackle first. This replaces inbox scrolling with a prioritized morning briefing.
How it works
- 1A daily morning schedule triggers the run.
- 2Front returns all at-risk conversations from the last 24 hours.
- 3Airtable supplies each customer's plan tier and lifetime value.
- 4OpenAI writes a summary and next-action suggestion and the flow ranks threads by anger times account value.
- 5Slack delivers the ordered digest as a direct message to the save specialist.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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.
