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Post-call automation: every conversation becomes a structured action

A call ends. Thirty seconds later, a structured summary lands in your CRM, a follow-up is booked in your calendar, and the transcript is tagged and archived. Here is how Auralius turns every call into a workflow step.

Post-call automation: every conversation becomes a structured action

A call ends. The caller hangs up. For most businesses, that is where the data stops — a vague memory of what was said, a note on a sticky pad if anyone remembered to write it.

Auralius treats every call as a structured event. Within seconds of the call ending, a complete transcript, a structured summary, and any extracted action items are available — and can trigger downstream workflows automatically.

What happens after the call ends

When the caller disconnects, Auralius runs a post-call pipeline in the background:

  • Full transcript. Every turn — both caller and agent — is saved as a structured log with speaker labels, timestamps, and the model tier used for each response.
  • Structured summary. A language model reads the transcript and produces a compact summary: the main purpose of the call, any commitments made, and a sentiment score. The summary is machine-readable JSON, so downstream systems can consume it without parsing prose.
  • Action items. If the agent captured any in-call actions — appointments, follow-up tasks, refunds, escalations — they appear as structured records ready for review or dispatch.

Webhook dispatch

In Integrations, you can configure one or more webhook endpoints. When a call completes, Auralius sends the structured payload to every registered endpoint. The payload includes the summary, action items, transcript link, call duration, and the agent that handled it.

From there the possibilities are wide open. Write the summary to a Notion database. Create a HubSpot deal. Book a Google Calendar event for a follow-up. Post a Slack alert for any call that ended with a negative sentiment score. All of this runs without code — just a webhook endpoint and whatever automation platform you already use.

Human-in-loop for sensitive actions

Any action that involves money movement or irreversible changes — a refund, a cancellation, an account update — is always held for human review. The record is created and flagged, but it is not dispatched until an owner or admin approves it in the Actions queue. This is a hard constraint, not a configuration option.

Reviewing calls

Every call is searchable in Call Logs. You can filter by date, agent, sentiment, or whether action items were captured. Click any call to read the full transcript, listen to a replay, and see exactly which knowledge chunks the agent used to answer each question. This is the fastest way to find gaps in your knowledge base and improve the agent over time.

Published August 12, 2026 · Kolerr Lab Engineering Team

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