This workflow streamlines the process of responding to Request for Proposals (RFPs) by leveraging AI and cloud services. It begins with receiving an RFP document via a webhook, allowing users to submit documents seamlessly. The workflow then extracts questions from the RFP using AI-powered language models, creating a dedicated Google Document to compile responses. For each question, the system utilizes OpenAI’s language models to generate accurate, contextual answers based on provided company materials. These Q&A pairs are recorded in the response document, ensuring a comprehensive and organized reply. Once completed, the workflow sends notifications via email and Slack to inform the team that the response is ready. Practical applications include automating bid responses, improving response consistency, and saving time for sales and proposal teams.
Automated RFP Response Generation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserItemList, extractFromFile, gmail, googleDocs, set, slack, splitInBatches, stickyNote, webhook |
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