AI systemsRFPs

How can AI help a consultancy respond to government RFPs?

By Christian Terrone, founder of Astrid Labs·Updated ·5 min read

The short answer

AI helps most at the two slow steps: deciding which RFPs to bid on and writing the first draft. A good system pulls new RFPs from the inbox, scores each one against your past work, explains the bid or pass call, and drafts the proposal from your own winning language. People still make the final call and the final edit.

Where does an RFP response lose the most time?

In reading RFPs that were never a fit, and in starting every proposal from a blank page.

Public-sector RFPs are long, and the detail that rules a firm out often sits deep in the document: a required certification, a budget range, a past-performance threshold. Reading every one in full to find that out burns hours.

Then the proposals that do go ahead start from scratch, even though most of the firm's best language already exists in past wins.

How does AI decide which RFPs to bid on?

It scores each RFP against what the firm has done and what the bid requires, then explains the score.

The system we built for a government-contracting consultancy reads each new RFP, scores it on fit factors such as relevant experience and budget, and ranks the list every day so the strongest opportunities rise to the top.

The explanation matters as much as the score. A consultant can read why the system says bid or pass in a few lines and overrule it in seconds.

Can AI write the proposal?

It writes a strong first draft from your past wins, and a person makes it final.

The draft pulls from the firm's own past proposals, so it sounds like them and reuses language that already won. It lands in a shared document where the team edits it.

Each round of edits teaches the system which language to reach for next time.

Where do the RFPs come from?

From the inbox the firm already uses.

Most consultancies already receive RFP notices by email from portals and partners. The system we built connects to that inbox, picks out the RFPs and pulls the documents in, so nobody copies files around by hand.

Some portals still require a manual download. For those, the team uploads the file and the system takes it from there.

What should people still decide?

The bid decision, the pricing, and every word that goes out.

AI reads faster than any person and drafts in minutes. Judgment about relationships, pricing and risk still belongs to the people whose name is on the bid.

Frequently asked questions

Is it safe to put RFP documents into an AI system?

It should run in accounts the firm controls, with access limited to the team. Ask any vendor where the documents are stored and who can see them.

Does an RFP system replace a proposal writer?

No. It removes the reading and the blank page, so the writer spends their time on the parts that win.

Can an RFP system find teaming partners for a bid?

That is the next step we are scoping with the consultancy we built ours for: matching an RFP's requirements to consultants and partner firms who fit.

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