Responding to a Request for Proposal absorbs 20 to 40 hours of proposal writer time per bid, at a fully burdened cost of $1,100 to $3,100 per response. DeepRFP is an AI workspace that analyzes the RFP, extracts compliance requirements, and drafts a response from the organization's own documents, cutting that cycle to two to four hours.

Somewhere in most B2B companies, someone is spending 20 to 40 hours on a document that might not win anything. That document is the response to a Request for Proposal, and the labor cost of producing it, between $1,100 and $3,100 per response in proposal writer time at a fully burdened rate, sits quietly in the cost of doing business because it does not appear on any invoice. It is just where the bid manager's month goes.

DeepRFP is an AI workspace built for that process. It reads an incoming RFP, extracts requirements and compliance items, generates a first-draft response using the organization's past proposals and company documents, and delivers the output in Word or Excel format ready for review. The Pro plan costs $89 per user per month with cancel-anytime terms. A seven-day free trial includes full access and requires no credit card.

What the proposal process actually costs

The people who deal with RFPs regularly know the full weight of the workflow: read the solicitation, decide whether to bid, organize the response structure, pull relevant content from past proposals, write sections where nothing in the library applies, build the compliance matrix, coordinate technical inputs from engineers and subject matter experts, and review the final draft before the deadline.

ZipRecruiter's 2026 data puts the average annual salary for an RFP proposal writer in the United States at $73,039, approximately $35 per hour base, or $55 to $78 per hour when employer taxes, benefits, and overhead are included. Glassdoor shows the median closer to $109,000 for organizations with high proposal volume that tend to hire senior writers. At the lower estimate, a 25-hour mid-complexity bid costs between $1,375 and $1,950 in proposal writer labor alone, not counting the engineering hours on technical sections or the manager review cycles.

A team responding to 15 RFPs per month at that rate spends between $20,625 and $29,250 per month on proposal labor before a single deal closes.

What DeepRFP does with the document

The process starts by uploading the RFP and supporting materials into an opportunity workspace. DeepRFP analyzes the document: it identifies requirements, flags risks and compliance items, surfaces deadlines, and produces a requirements map that typically takes a human proposal writer two to four hours to build manually. That step happens in minutes.

From there, AI writing agents draft responses using two inputs: the RFP and the organization's own content. You supply past winning proposals, capability statements, rate cards, or any reference material relevant to the opportunity. The tool does not generate generic boilerplate. It builds responses from the organization's actual language and documented experience, which is why the platform asks users to populate a company library before running their first bid.

The output format follows the input. A narrative RFP response comes back as a structured Word document organized by section. A vendor questionnaire with cells and checkboxes comes back as a completed Excel file. The compliance matrix, which teams typically build by manually cross-referencing requirements to response sections, is generated automatically.

Users report reducing a 20-hour process to roughly two hours on a mid-complexity bid. One verified reviewer on Capterra described drafting a 24-page RFI on a short turnaround and found the tool "pretty much paid for itself right away." DeepRFP's own documentation cites a 60-page government bid drafted in 15 minutes and completed in under two hours versus the 20-plus hours a response of that length typically demands.

The cost comparison with real numbers

On the Pro plan at $89 per user per month, a proposal professional who previously handled eight responses per month at 25 hours each was spending 200 hours on proposal labor. If DeepRFP reduces each response to five to eight hours, the same output now takes 40 to 64 hours monthly. At $41 per hour equivalent for an $85,000 salary, that freed capacity represents $5,300 to $6,500 per month returned against an $89 expenditure.

For a team with a dedicated bid manager at $95,000 per year ($72 per hour fully burdened), shaving 12 hours per response across 12 monthly RFPs recovers approximately $10,368 per month in proposal labor. The Elite plan at $149 per user per month extends the platform with pricing strategy analysis, compliance briefings, and unlimited company profiles for teams responding under multiple practice areas or subsidiary brands.

Who this is wrong for

RFP responses where the proposal itself signals commitment are not a good fit. In some procurement contexts, the thoroughness and originality of a response communicates how seriously the vendor takes the relationship. Procurement teams evaluating strategic, long-term partners sometimes read the proposal as an early indicator of how the vendor will perform when delivery gets difficult. A draft that the team refines may produce equivalent quality, but if the process signals matter to the buyer, the tool does not change that context.

The platform also depends on input quality. Organizations with a strong library of past winning proposals, detailed capability documents, and well-organized reference content get noticeably better draft output than organizations starting from scratch. If the knowledge base does not exist in written form, the AI cannot synthesize what has not been documented.

Highly technical bids where the required expertise lives primarily in engineers' heads, not in documents, will still need substantial human contribution to the specialized sections. DeepRFP can structure, frame, and draft the narrative. It cannot replace knowledge that was never written down.

What the economics finally make visible

Every competitive RFP creates an asymmetric situation. The buyer spends a few hours writing the requirements. Six responding vendors each spend 25 hours writing back. Most of those responses do not win. The combined labor from the losing side of a single competitive bid can exceed 150 hours across the field.

Sellers have absorbed this cost for decades because responding to RFPs was the price of access to certain markets and customer types. Saying no to an RFP meant forfeiting the revenue opportunity, and the team's capacity was already committed to the response queue whether or not the individual bid was worth it.

What changes when a response takes four hours instead of twenty is not the structure of procurement. What changes is the threshold at which it makes sense to try. Bids that were marginal before, the ones that landed in a gray zone where a good outcome was plausible but the labor cost made them hard to justify, become reasonable again. Whether the opportunity was worth pursuing was always a judgment call. The draft no longer has to be the reason you passed.