How to build a Proposal Reference Agent
An AI-powered assistant that finds, summarizes, and emails relevant past proposals from Google Drive based on a user’s new project topic.
Challenge
Manually searching, summarizing, and sharing relevant past proposals for project topics is time-consuming and error-prone.
Industry
Industrials
Department
Content Creation
Sales
Integrations
Gmail
OpenAI
This workflow streamlines the process of researching past proposals and sending a summary to a specified recipient. Here’s how it works:
1. User Inputs
Proposal Topic Input:
The user enters the topic for a new proposal (e.g., “International airport improvement project with sustainability focus”).Recipient Email Input:
The user provides the email address of the person who should receive the summary.
2. Knowledge Base Search
The workflow searches a connected knowledge base (in this case, Google Drive) for past proposals relevant to the entered topic.
It retrieves the most relevant documents, such as previous airport expansion, transit system, highway, and bridge proposals, focusing on sustainability and infrastructure improvements.
3. AI-Powered Summarization
An advanced AI model (OpenAI) reviews the retrieved proposals and generates a concise summary, highlighting key points and sustainability features from the most relevant documents.
4. Email Preparation
Another AI model formats the summary into a clear, easy-to-read HTML email.
The recipient’s email address is automatically included.
5. Automated Email Delivery
The formatted summary is sent directly to the specified recipient’s email address using a secure Gmail connection.
6. Output Confirmation
The workflow provides a confirmation that the email has been sent, along with a summary of the process.
Key Features:
Automated research across your organization’s proposal archive.
AI-generated summaries tailored to your new proposal topic.
Seamless email delivery to any recipient you choose.
No manual document review or formatting required.
Ideal for:
Teams preparing new proposals who want to leverage past work, ensure consistency, and save time on research and communication.





