How to build an RFP Response and Bid Builder

TL;DR

• An AI agent turns your RFP details + uploaded docs into a polished, submission-ready response.

• It drafts the executive summary, compliance matrix, and pricing section, then formats everything cleanly for review or download.

• You provide inputs; the agent does the heavy lifting: draft → structure → output.

Common Pain Points of Manually Completing RFPs

• Sifting through long RFP PDFs and specs to find what actually matters.

• Copy-pasting past answers, risking inconsistencies and outdated claims.

• Building a compliance matrix manually and missing requirements.

• Wrestling with formatting right before the deadline.

• Losing context between sales, product, and legal inputs.

What the Agent Delivers

• End-to-end draft: Executive summary, requirement-by-requirement answers, compliance matrix, and a pricing section (when inputs allow).

• Grounded responses: Uses both your typed RFP details and extracted text from uploaded files.

• Consistent structure: Clean, professional markdown template ready to export or share.

• Traceability: Clear separation of what came from user input vs. uploaded documents.

• Review-ready output: Final formatted response you can copy, export, or route for approvals.

Step-by-Step Build (StackAI nodes)

Inputs

1. RFP Details Input (in-0)

   You enter core RFP info: requirements, client context, bid parameters.

2. Files (doc-0)

   Upload the official RFP, specs, and compliance docs. The system extracts text for AI use.

Drafting

3. OpenAI (llm-0)

   Combines your inputs + extracted file content to draft:

   
   

   • Executive summary

   • Compliance matrix (mapping requirements to your responses)

   • Pricing section (if enough data is provided)

Prompt pattern:

Formatting and Output

4. Format RFP Response (template-0)

   Wraps the AI draft in a clean, sectioned layout with headings and notes.

5. Output (out-0)

   Presents the finished response for review, copy, or download.