RFP Assistant is an advanced AI-powered tool developed internally by WWT that automates and streamlines the human-led process of responding to requests for proposals (RFPs). The tool's goal is to help our Proposal team respond to RFPs more efficiently and effectively.
RFP Assistant leverages LLMs to efficiently summarize and present information, enabling our skilled Proposal Managers to quickly qualify incoming inquiries and respond accurately. The tool extracts key requirements and deadlines from RFP documents and generates initial draft responses from a repository of previous responses, Q&A pairs and templates. The tools significantly cuts down the time needed to draft comprehensive, high-quality proposals.
Applied Research Report
Part 1: Meet RFP Assistant — the AI Improving Proposal Response Speed and Efficiency
Applied Research Report
Part 2: Inside RFP Assistant — Summarizer and Qualification Workflow
Applied Research Report
Part 3: Inside RFP Assistant — Generating a Full RFP Response
Research Note
How Atom Ai and RFP Assistant have Evolved and What it Means for the Future
Derrick Sprague, Director of Bids and Proposals at WWT, outlines our RFP Assistant's capabilities in summarizing and research. The Summary section simplifies complex RFP requirements into manageable parts, aiding team focus during response preparation. The Research section offers historical win rates, comparable proposals and metrics from past RFPs.
Enhanced understanding
RFP Assistant's qualification metrics help sales leaders and proposal managers determine whether it is worth investing the organization's time and effort into responding to a given RFP. The tools' summary and chat features help reviewers quickly identify and address important issues, requirements and questions (e.g., those related to pricing structures and contractual stipulations).
Increased knowledge base
By using GenAI to generate responses from a rich database of past proposals and other knowledge repositories, RFP Assistant can pull in more eclectic information to augment response generation. For example, it can write short case studies to highlight in a new proposal based on the team's database of past proposals.
Efficiency and time savings
RFP Assistant automates much of the labor-intensive work involved in creating an initial draft of an RFP response; 75 percent of proposal managers have reported time savings when using the tool to complete proposals. Time saved varies between 10 percent and 70 percent based on the complexity of the proposal, with some reporting that the time to complete a first draft reduced from a few days to a few hours
First draft development
The first draft response to an RFP establishes the foundation of the proposal. At this stage, Proposal Managers gather all relevant information the RFP requires. We also define the "win theme," which guides the entire proposal. This draft focuses on content structure, organization and alignment with the theme.