This n8n workflow automates the process of analyzing sales calls, enriching call data, and integrating insights into various platforms. The goal is to extract meaningful information from Gong calls, clean and process transcripts using AI, avoid duplicate processing, and compile comprehensive reports for sales and marketing teams.
The workflow begins with a manual trigger (used for testing purposes) and proceeds to fetch recent Gong calls within the last two days. It then uses Notion to filter out already processed calls, ensuring only new calls are analyzed. Call transcripts are sent to an OpenAI-powered workflow for cleaning and summarization, reducing prompt size for efficiency.
Next, data from integrations like Google Sheets, competitors, and internal databases are aggregated and formatted as comma-separated strings for downstream processing. The workflow compares current calls with previous data to isolate only new call IDs, then processes each call individually through a dedicated sub-workflow, which handles detailed transcript analysis.
Overall, this automation streamlines the review and enrichment of sales call data, providing sales teams with structured insights and competitor intelligence, facilitating better follow-ups and strategic decisions.
This workflow is ideal for sales teams using Gong, integrating with Notion and Google Sheets for data storage, and leveraging OpenAI for transcript analysis and summarization.
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