RFP Drafting
AI-assisted creation of Request for Proposal responses using firm knowledge.
Definition
RFP Drafting uses AI to accelerate the creation of responses to Requests for Proposals by automatically retrieving relevant content from past successful proposals, project descriptions, case studies, and firm qualifications. The system understands the RFP requirements and assembles a first draft by pulling appropriate sections from historical documents, which proposal writers can then customize and refine—reducing RFP response time from weeks to days.
In Depth
AI-assisted RFP drafting searches the firm's past proposals and project descriptions to assemble relevant content for new proposals. Instead of starting from a blank page, the proposal team receives draft sections populated with the firm's actual project experience, team qualifications, and approach descriptions from past successful proposals.
Examples
Generating project team bios from firm resumes and past project experience
Pulling relevant project case studies based on RFP requirements
Assembling technical approach sections from similar past proposals
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use rfp drafting across your existing project data:
Frequently Asked Questions
RFP Drafting uses AI to accelerate the creation of responses to Requests for Proposals by automatically retrieving relevant content from past successful proposals, project descriptions, case studies, and firm qualifications. The system understands the RFP requirements and assembles a first draft by pulling appropriate sections from historical documents, which proposal writers can then customize and refine—reducing RFP response time from weeks to days.
Generating project team bios from firm resumes and past project experience. Pulling relevant project case studies based on RFP requirements. Assembling technical approach sections from similar past proposals.
Project Research: Accelerate proposal writing with AI-assisted content retrieval.