Turn recorded sales calls into structured, actionable summaries — automatically.
Sales calls contain valuable information, but reviewing recorded conversations manually takes significant time.
Sales teams often need to listen through entire recordings just to identify key requirements, objections, decisions, follow-up actions, and important client information.
Call recordings may remain scattered across storage systems without a consistent process for extracting and documenting the information inside them.
Without an automated call summarization process, important details can be missed, follow-up can become inconsistent, and valuable sales information remains locked inside audio recordings.
As the number of sales conversations increases, manually reviewing and documenting every call becomes increasingly difficult.
Sales conversations contain information that directly influences the next step of an opportunity.
Important requirements, objections, questions, commitments, and action items should be captured while the conversation is still fresh.
Manual transcription takes time. Long recordings are difficult to review. Important details can be overlooked. Inconsistent notes make follow-up harder.
Businesses need a system that can automatically transform recorded sales conversations into organized information that teams can quickly review and act upon.
The workflow starts when a webhook receives the name or reference of a recorded sales call.
The system retrieves the corresponding recording from Google Drive.
The audio file is sent to Deepgram for automated speech-to-text transcription.
The generated transcript is passed to an AI Agent that analyzes the conversation and creates a structured sales call summary.
The AI identifies and organizes important information from the conversation, including key discussion points, client requirements, objections, decisions, and follow-up information.
The structured summary is automatically written into a Google Document.