SUMMARIZATION
Transcribe VoC calls and cluster objections by product line in Airtable
Transcribes a batch of voice-of-customer call recordings, extracts every customer objection.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule pulls new call recordings
- ActionTranscribe each recording with ElevenLabsElevenLabs
- ActionExtract customer objections per product line with OpenAIOpenAI
- LogicCluster objections into themes and merge duplicates
- OutputWrite one row per objection to AirtableAirtable
What it does
Turns raw sales and discovery call audio into a structured objection map. It transcribes each recording, mines the transcript for distinct customer objections, then clusters those objections into recurring themes (price, integration, trust, timing) split by the product line each call was about. The result is a living Airtable base your GTM team can sort and filter.
When to use it
Run it weekly or after a batch of calls lands in your recordings folder. Ideal when you have dozens of VoC or win/loss calls and need to know which objections actually move deals, rather than reading transcripts one by one.
How it works
- 1A schedule kicks off the run and pulls new recordings.
- 2ElevenLabs transcribes each audio file with speaker diarization.
- 3OpenAI extracts a clean list of customer objections from every transcript, attributing each to a product line.
- 4A clustering step labels each objection with a theme and merges near-duplicates across calls.
- 5The clustered objections write to Airtable, one row per objection with theme, product line, and source call.
Set it up
What you configure once, before turning it on.
- 1Connect ElevenLabsText-to-speech, voice cloning.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 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 Summarization workflows
On-submit Loom standup roll-up archived to Confluence
When a standup video is submitted via webhook, transcribes it, generates a per-person written summary, and appends it to a running team standup page in Confluence.
Front Escalation Handoff Doc in Notion
When a Front escalation closes, drafts a structured handoff document in Notion capturing the resolution, customer commitments, and open follow-ups, then alerts the AE in Slack.
Front Escalation War-Room Brief to Slack
On a Front escalation, posts a concise threat-assessment brief to a Slack channel only when the AI judges the situation high-severity.
VIP Front Escalation Instant Exec Page-Out
Detects escalations from VIP accounts in Front, generates a one-paragraph executive recap, and pages the named account exec via Slack and Salesforce task within minutes.
Release health note per Vercel deploy
When a Vercel deploy goes live, summarizes the Sentry errors observed in the release window into a plain-English health note that separates brand-new error classes…
Rollback recommendation when a deploy spikes errors
When a Sentry alert fires for an error spike, attributes it to the most recent deploy, summarizes whether the spike is dominated by new error classes introduced by that release.
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.
