Streamline RFP Responses with AI: Boost Efficiency by 90%Streamline RFP Responses with AI: Boost Efficiency by 90%
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Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results: ✅ Reduced proposal creation from 4-6 hours to under 30 minutes ✅ 90% auto-complete rate on proposal sections ✅ 14+ RFPs processed through the pipeline ✅ Full proposal dashboard with status tracking
Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
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Abhiram's avatar
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
Peter's avatar
Indeed, it is. Whether you're a large or individual consultant, drafting proposals for RFPs is a constant. Having that tool that significantly reduces the amount of time spent on this activity would be valuable.
Abhiram's avatar
Yeah exactly. Anything that cuts down the time spent on repetitive proposal work is a big win.
Trashu's avatar
very nice..
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