This n8n workflow streamlines the management and analysis of Google Meet meetings by integrating various services to automate bot deployment, track meeting status, and extract key insights. It begins with a webhook trigger when a meeting command is received from a CRM (via Baserow), allowing dynamic deployment or removal of an AI bot in Google Meet. The workflow updates the meeting status in Baserow to ‘In Progress’ or ‘Stopped’ based on commands, and manages the bot’s lifecycle through HTTP requests.

After the meeting, a separate webhook captures the transcript, which is fetched and processed via OpenAI’s language model. The transcript is analyzed to generate a summary, identify action items, potential red flags, and overall sentiment. This information is then structured into a memory layer (Mem0), providing a detailed, searchable record of each meeting, including key insights and responsibilities.

The workflow is useful for small businesses and solopreneurs seeking to automate virtual meeting analysis, improve follow-ups, and maintain comprehensive, AI-driven records without manual effort. Its modular design allows for scalable extensions like automated follow-up emails, task creation, or CRM integrations.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, aggregate, baserow, code, httpRequest, manualTrigger, merge, noOp, redis, set, splitOut, stickyNote, stopAndError, switch, webhook