Conversation Transcription

Symbl.ai converts recorded or live conversations into structured transcripts. A Beam agent reads a completed transcript when a call ends, separates the speakers and segments, and files the text against the right account according to rules your team approves. It updates the linked record and notifies the owner that notes are ready. Transcripts from calls marked confidential, or where speaker identity is unclear, are held for a person to review before filing, so sensitive discussions are not attached to the wrong record or shared beyond their intended audience.

Action Item Detection

Symbl.ai identifies action items, questions, and follow ups within a conversation. A Beam agent reads the detected items after a meeting, applies your rule about which owners and systems they belong to, and drafts tasks or reminders for approved cases. It writes each task and notifies the assignee. Items that imply a commitment, a financial promise, or a legal obligation are set aside for a person to confirm, because the agent should not create an external commitment on the company's behalf without a human agreeing the wording first.

Conversation Topic Analysis

Symbl.ai groups a conversation into topics and sentiment signals. A Beam agent reads these results, compares them against your tagging rules, and labels the interaction in your records so teams can find recurring themes. It updates the tags and summarizes the tone for the owner. Conversations flagged as strongly negative, or touching a sensitive subject like a complaint or a churn risk, are routed to a manager, who reads the detail and decides on outreach rather than leaving the response to an automatic label the agent applied.