Turn recent sales calls into clear insights with an automated preprocessor for Gong recordings. The flow gathers calls, cleans the transcript, adds product and competitor context, and sends everything to a child processor that returns structured JSON for sales use.
Two start options are available. You can run it by hand or let another workflow call it. It pulls the last two days of calls from Gong, collects integration names from Google Sheets, and fetches a competitor list from Notion. The flow merges these details so name checks and typos are easier to catch. A Notion check removes calls that were already handled, so the queue only includes new work. Each call then moves through a loop that builds a clean transcript and passes it to the child workflow for final parsing.
You will need access to Gong, Google Sheets, and Notion. Set credentials in n8n Cloud, point the Google Sheet and Notion databases to the right tables, and confirm the Execute Workflow node points to your transcript processor. Expect faster reviews, fewer repeats, and better accuracy in names and terms. Sales and RevOps teams can use the output for coaching, pipeline notes, and product feedback at scale.