AI for Government Contracting: What Our Bid Agent Reads, Drafts and Hands Back

AI for government contracting means using AI agents to find bids, read the solicitations, track every deadline and draft the proposal for a person to check. At VantaSoft, a proposal agent does this for California public bids every night. A second agent edits his drafts. One of our owners decides whether to bid, sets the price, signs and submits.

VantaSoft is a small company, and public agencies buy the kind of software work we do. Finding those bids by hand would mean checking hundreds of agency websites. So Rafa, our proposal agent, does the hunting and the first pass of the writing, and Sam, our editor agent, checks his drafts. Here are his numbers.

The number we care about most is 2. Almost every public bid is for road work, buildings, equipment or services we don't offer. A quick no with a reason is the most useful thing the agent gives us, because a person then reads only the few bids worth the effort.

What does AI do in government contracting?

In our setup, AI does the reading, sorting, tracking and first drafts, and people make every decision that commits the company. The agent finds and scores bids, lists each requirement, logs early deadlines and drafts sections from facts we approved. The owner who runs our bids decides whether to bid, sets the price, signs and submits.

Here is one bid, from posting to submission.

That requirements list is what proposal people call a compliance matrix. Public bids are long, and one missed "shall" can get a proposal set aside before anyone reads it. Building the list takes slow, careful reading, which suits an agent well.

How does an AI proposal writer draft a bid?

Ours drafts only from what we have approved. Every claim has to point to our facts sheet, our list of past projects or our approved standard answers. When a section needs a fact none of them hold, he leaves a marked gap where it belongs and opens a task for a person instead of guessing.

That rule matters more in a bid than almost anywhere else. A proposal is a document you sign, and the buyer can hold you to what it says. A tool that writes smooth paragraphs out of nothing adds risk there.

Then Sam edits. On a recent 59-page proposal, she checked the final package against the bid and its three amendments. She started with the pages to be signed and split her notes into must-fix and nice-to-have:

• Must-fix: the cover sheet for the signature pages said four sets of initials were needed. One form had four initial lines on its own, so the true count was five. The owner heard about it before he signed.
• One section named one Google routing service, and three later sections named a different one. Both were correct, for two different systems, so the fix says which is which.
• Two figures on facing pages seemed to disagree. They showed two different sample days, so each caption now names its day.
• 13 light wording edits. None of them changed a fact, number, date, name or commitment.

Each of those is easy to miss in a fast read the night before a deadline. Our AI proposal writer role describes this job as we build it for other businesses.

What should a person keep in a government bid?

Keep every decision that commits the company: whether to bid, the price, anything you attest to, the signature and the submission. Our agent never registers on a buying site, accepts terms, signs or submits. Our bid system also refuses to record an owner's yes unless it can find that owner's own message saying it.

That check came from a plain worry. An agent that records approvals could, by mistake, record one nobody gave. So when the owner says yes in Slack, the agent passes along that exact message, and the system reads it back. It confirms that the message exists, that the owner wrote it and that it says what the agent claims. Only then does the bid move on.

Price is the decision people most want to hand off, and we keep it closest. Before a price goes to the owner, the agent looks up what the same buyer approved for similar work, using the buyer's public meeting records. The owner then prices against that range, and the number is his.

Our guide to keeping a human in the loop with AI agents covers where to draw these lines for other kinds of work.

What went wrong when we let an agent watch our bids?

Two early problems changed how the job works. One was a deadline the agent never saw. The other was a facts sheet that was out of date. Both came from the same place: the agent can only work with what it can reach and what we have told it, and in each case that was incomplete.

We missed a deadline the agent never saw

One city bid required a notice of intent to bid, due more than a week before the proposal. The bid documents sat behind the city's vendor login, so they never reached our system and the agent never read them. The deadline passed. We only got back in because the city later amended the bid and reopened that step.

The fix: the agent now reads every bid we track for anything due early, such as notices of intent, required pre-bid meetings and site walks, vendor registration, question deadlines, bid bonds and samples. He messages the owner the day he finds one. When documents sit behind a login he can't use, fetching them is a task for a person. What an agent can reach depends on the logins you give it, which our piece on AI agent access to business systems walks through.

An alert still isn't the same as meeting the deadline. Someone has to fill in the form or show up to the meeting, and the agent can't do either.

Our facts sheet was out of date

Since the agent can only cite our facts sheet, a wrong line there goes straight into a bid. In September we found three. The sheet listed a small-business certification as "in progress" more than two months after we had received it. It also listed two more as in progress that our checked record treats as not held.

Now we keep one checked record of our registrations and certifications, and it wins whenever the two disagree. The agent compares them before drafting and asks an owner to fix the sheet. He never edits it on his own judgment. Our record of what went wrong with our AI agents has more failures like these, from other jobs.

What should you write down before an AI drafts your first bid?

Write a one-page bid facts sheet before an agent drafts anything, because its drafts can only be as accurate as that page. List your legal identity and registrations, the certifications you hold and the ones you don't, past projects you can cite, the people you can name, your standard answers, your price rules and who signs.

For federal work, registration starts with SAM, the government's System for Award Management. The SBA's guide to the basic requirements says your SAM profile "is like a résumé". State and local buying sites each have their own registration as well.

Is AI worth it for a small government contractor?

It depends on how many bids you have to read to find one worth chasing. Ours read 1,220 to find 2, which is more reading than anyone on a small team has time for. If you bid with a few buyers you already know, a careful person with a good template may be enough. If you watch many buying sites, an agent is worth trying.

Small firms do have a share set aside for them. The federal government works to give small businesses at least 23% of its contracting dollars each year, according to the SBA. Finding the right bids among thousands is the slow part, and it is most of our agent's nightly work.

As for cost, we build a proposal agent around the buying sites you use and your own library of past bids. The build starts at $1,000 one-time, and hosting and maintenance start at $200 a month (see pricing). Plan for review time as well, because a person still reads each draft and fills the gaps he marks.

Frequently asked questions

Can AI write a government proposal?

AI can write a first draft of most sections, but a person should own the final proposal. Ours drafts only from approved company facts, past projects and standard answers, and marks a gap wherever a fact is missing. An editor agent then checks the draft against the bid's instructions. A person fills the gaps, sets the price, signs and submits.

Can AI find government contracts for me?

Yes, and that is most of what ours does. Every night he reads new bids from 432 California public buying sites, after simple rules screen out work we can't do, and recommends pursue, watch or pass. In the two weeks to November 3, 2026, he scored 1,220 bids and recommended pursuing 2.

Can an AI agent submit a bid for me?

Ours is not allowed to. He never registers on a buying site, accepts terms, signs or submits. Submitting commits the company to what the proposal says, so a person does it after reading the final package.

What is a compliance matrix in a proposal?

A compliance matrix is a list of every requirement in a solicitation, usually each "shall", "must" or "required" item, with where the response answers it. Reviewers use it to make sure nothing is missed. Our agent builds one for each bid we pursue and notes the section of the solicitation every item comes from.

How much does an AI proposal writer cost?

That depends on whether you buy a tool and run it yourself or have an agent built and run for you. We build one from $1,000 one-time, with hosting and maintenance from $200 a month. The bigger cost is often your own review time, because a person still checks every draft before it goes out.

Where to start

Start with one buying site and one kind of bid you know you can win. Write your bid facts sheet first, then let the agent read and score bids for a few weeks before it drafts anything. Our 13 real AI agent examples show where a proposal agent fits on a full team. When you are ready, Start Automating and we will walk through your bid process with you.