Who can automate an RFP and proposal process?

It depends on one thing: are your proposals assembled, or authored? If you answer repeating questionnaires and already have a library, buy dedicated software. If you write each proposal fresh from a site visit, a library tool solves the wrong half.

3routes, and only one will fit you
6agents in the custom pipeline we built
28%of finished drafts rejected at our human gate
ResonAi · Vancouver, BC · Updated September 2026

Work out which one you are

1. Dedicated RFP response software

A real and mature category. Loopio, Responsive, AutoRFP, Inventive, Steerlab and PandaDoc all sit in it, along with a steady stream of newer entrants. The core idea is the same: you keep a library of approved answers, the tool matches incoming questionnaire items against it, and a human edits the draft.

This works when you respond to structured questionnaires, the same questions recur across bids, compliance and security sections eat your time, and you have enough past proposals to seed a library. This is the right answer for most software and services firms. If that describes you, buy one and stop reading. A consultant cannot beat a mature product at its own job.

2. A general AI assistant

Low volume, no library, mostly drafting help. A subscription and a good prompt gets you most of the way. The failure mode is that nothing is repeatable and quality depends on who is driving.

3. A custom agent pipeline

Worth building when the content does not exist yet. If your proposal starts with a site visit, a set of drawings, a takeoff or a page of handwritten field notes, there is no answer library to search, because nobody has written the answer before. The work is turning observations into scope, then scope into price, then price into a document. Construction, trades, engineering and field services sit here.

What the library tools do not handle

This is worth knowing before you buy, because it is where most disappointment comes from.

  • Pricing judgement. A library returns what you said last time, not what this job is worth.
  • Scoping from unstructured input. Photos, notes, drawings and voice memos are not questionnaire answers.
  • Bid or no-bid. The most valuable proposal decision is often not to write one.
  • The first proposal of a new type. Libraries are worth nothing until they are full.

What a pipeline actually looks like

We built one for landscape contractor proposals. Handwritten site notes were being retyped into Word documents, taking one to three hours per job. The pipeline runs six agents in sequence: read the site notes, extract the scope, price the line items, draft the narrative, produce the document, notify the customer. It costs between $86 and $204 a month to run at 30 proposals.

Be careful with the hours figure, including when we quote it The roughly 35 hours a month this returns is a model, not a measurement: 20 proposals at two hours each, minus five hours of review. It has not been timed with a stopwatch in production, and this is a demo build rather than a client deployment. We say so because a proposal-automation number you cannot trace to a measurement is the single most common piece of nonsense in this category.

Keep a human gate, and count what it catches

Every proposal pipeline worth running stops before it sends. The useful metric is not how much the agent produced, it is how much a human rejected.

On our own outreach system, which runs the same pattern on a different document type, the numbers over about four months were 523 items screened, 165 drafted, 116 sent, and 45 rejected at the human gate. That is a 28 percent rejection rate on drafts the agent considered finished.

If a vendor cannot tell you what their rejection rate looks like, they are not measuring quality. They are measuring throughput, and throughput on a proposal you should not have sent is a cost, not a saving.

How to choose in one pass

  1. Count your proposals per month and how many are questionnaire-shaped.
  2. If most are questionnaire-shaped, buy a library tool. Do not build.
  3. If most start from a site visit or a drawing, a library tool will underdeliver.
  4. Either way, decide where the human gate sits before you look at any software.
  5. Ask any vendor for one measured number with a stated basis. Not a model. A measurement.
Written by Ryan Rezeika, founder of ResonAi, Vancouver, BC. The six-agent pipeline is a demo build on n8n, Claude, Supabase, Google Docs and SMS; the running-cost band is taken from its documented component costs and the hours figure is a stated model, not a measurement. The screening figures come from ResonAi's own internal outreach system logs, April to September 2026. Product names are listed as examples of the category and are not endorsements.

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