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After an inbound call, Autocalls.ai provides transcripts, analytics, and possible automation triggers.

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1. Recording & Transcription

  • Recording: Typically saved in the call logs, so you can replay.
  • Transcription: The AI’s recognized text, which is used to generate its responses.

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2. Post-Call Data (Summary & Extracted Variables)

  • The AI can store or forward call info (e.g., name, reason for calling) to a connected CRM or spreadsheet.
  • Summaries may include “intent” or “call outcome.”

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3. Automation Triggers

  • Using the built-in no-code platform, you can do things like:
    1. Email or Slack the transcript to your team.
    2. Log the call outcome in Google Sheets.
    3. Notify a human agent if follow-up is needed.

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4. Viewing Insights

  • In your Autocalls.ai dashboard, go to Calls or History.
    • Filter by inbound calls.
    • Click a specific call to see the transcript, recording, or final notes.

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5. Inbound Webhook Result

If the assistant has an inbound webhook URL, the call page shows an Inbound call webhook section before the extracted variables and the post-call webhook. It appears only on calls where the webhook ran.
  • Webhook response: the URL it was sent to (without the query string), how long the request took (duration_ms), and the HTTP status and what your endpoint returned, or the error if it couldn’t be reached.
  • Variables received: your endpoint answered with a JSON object of text values, and the call used them.
  • Default variables used: the call went on with the assistant’s default variables, because the endpoint answered with an error status, didn’t answer within 20 seconds, couldn’t be reached, or returned something other than a JSON object of text values.
Use it to check why a call didn’t get the caller details you expected. To set up the endpoint, see Inbound Call Context Injection.
Note: For advanced analytics (like call sentiment or deeper classification), watch out for upcoming features or use the webhook/API to feed transcripts into external tools.