Our project is an AI-powered agent that automates and improves the RFP response process in the Quality Engineering and software testing domain. A sales engineer uploads an RFP document in PDF, DOCX, or PPTX format, and the system extracts the text, identifies the customer’s testing requirements, and classifies them into six predefined categories. Each requirement is then matched with a relevant Amdocs service from the official service catalog, while unmatched requirements are clearly flagged to reduce hallucinations. The system also uses Retrieval-Augmented Generation to search historical successful RFP responses and retrieve relevant content. Based on this information, the agent generates a professional proposal and automatically produces two branded Word documents: a Requirements Summary and a Final Proposal.