AI Agent for RFP Responses

RFPs are time-consuming for sales teams, often taking 50-75 hours to complete a standard 100-150 question proposal, causing them to forgo many opportunities due to time constraints. To alleviate this burden, a B2B Enterprise Customer Service software company has implemented an RFP automation tool using VectorShift, which automates the initial draft creation process. This system uses three knowledge bases—historical RFPs, services/products, and pricing—along with a user input system to feed information into a Large Language Model (LLM) that crafts a tailored response. The tool is designed with a structured flow that includes knowledge base queries and nodes for input and output, allowing users to run and deploy the pipeline efficiently. The final product is a form interface that end-users can access with a password, offering a streamlined solution for managing RFPs more effectively and freeing up sales teams to focus on closing additional deals.