How to build an RFP Response Assistant

TL;DR

• Assembles proposal answers from your approved library, playbooks, and past bids. 

• Enforces templates, tone, and compliance rules across responses. 

• Flags gaps needing SME review and tracks response status. 

• Enables polished drafts quickly—seconds instead of days. 

• Launches via Workflow Builder in minutes. 

Common Pain Points of Filling Out RFPs

• RFPs involve cross-functional back-and-forth and delays. 

• High volume and complexity make uniformity hard.

• Rework on tone, structure, and branding is constant.

• SMEs overloaded for verification.

• No tracking of compliance or response gaps.

What the Agent Delivers

• Auto‑assembled answers using your library & past responses. 

• Enforces style, compliance, structure, and voice. 

• Flags gaps and status for SME review. 

• Fast generation of polished drafts. 

• Easy integration via Workflow Builder.  

Step-by-step build (StackAI Nodes)

1. Text Input

• Purpose: User enters the RFP question or prompt.

• Node: Input (in-0)

2. Files Upload

• Purpose: User uploads supporting documents (e.g., past RFPs, product sheets).

• Node: Files (doc-0)

3. Knowledge Base Search

• Purpose: Searches your knowledge base for relevant context based on the user’s input.

• Node: Knowledge Base (kb-0)

4. AI Assistant (LLM)

• Purpose: Drafts a tailored RFP response using the question, uploaded files, and knowledge base results.

• Node: LLM (OpenAI, gpt-4o-mini)

• Prompt Example:

5. Output

• Purpose: Displays the AI-generated draft to the user.

• Node: Output (out-0)