Automate Post-Call Workflows with the Transcript Generated Trigger
The Transcript Generated trigger fires a Sparkforge workflow as soon as a call transcript is ready — for Voice AI, IVR, or Sparkforge Phone calls — and passes the full transcript plus call metadata into your automation.
The Transcript Generated trigger starts a workflow the moment Sparkforge finishes transcribing a recorded call. It works across Voice AI, IVR, and Sparkforge Phone, and passes the transcript, summary, duration, direction, caller location, and timestamps into the workflow so you can automate follow-up the second a call ends.
Where it works
- Voice AI calls — transcription is on by default.
- Sparkforge Phone calls — transcription must be enabled in Phone Settings.
- IVR calls — transcription must be enabled in IVR Settings.
If Voice AI Translation is enabled on the agent, the workflow also receives a translated transcript and translated summary, so you can route localized follow-ups or write standardized outcomes to the CRM.
Why use it
- Instant follow-up: trigger SMS, email, tasks, or webhooks seconds after a call ends.
- AI-driven branching: feed the transcript into AI Decision Maker or GPT Actions to route on sentiment, intent, or keywords.
- Insight capture: write objections, buying intent, or call outcomes back to the contact record automatically.
- Rich metadata: branch on duration, direction, timestamps, location, and assigned user.
How to set it up
- Open Automation → Workflows and click + Create Workflow (or open an existing one).
- Click Add New Trigger and pick Transcript Generated.
- Confirm transcription is enabled. Voice AI is on by default. For Sparkforge Phone or IVR, click the CTA in the trigger config to enable it in the relevant settings.
- Apply filters: Call Type (Voice AI, IVR, or Normal), Call Direction (inbound/outbound, optional), and Call Duration (minimum seconds, optional — useful to ignore short or abandoned calls).
- Click Save Trigger, add the workflow actions, then publish.
Common patterns
- Send the transcript to an AI Decision Maker step that classifies the call as booked, missed, or complaint, then routes accordingly.
- Update contact custom fields with the call summary so reps see context on the next touch.
- Post the transcript to a webhook for revenue intelligence or QA tooling.
- Filter on duration > 30 seconds to skip dropped calls.
Frequently Asked Questions
What call types does the Transcript Generated trigger support?
Can I get a translated transcript?
How do I avoid firing on short or dropped calls?
What data does the trigger pass to the workflow?
Can the transcript drive AI branching?
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