Yes. Nothing in Irish or UK procurement law prohibits a supplier from using AI to draft a tender response. No standard RFT clause bans it, no evaluator is instructed to mark it down, and a large share of your competitors are already doing it. The question worth your time is a different one: what does an AI-drafted bid look like to the person scoring it?
We audit finished bids before submission, scoring them the way an evaluation panel will, against the buyer’s own criteria and band scale. That gives us a view market surveys cannot: not whether firms say they use AI, but what the output looks like when it is read for marks.
The floor has risen
The first thing to understand is what AI has done to the field you are bidding against. Fluency, clean structure and compliance-shaped completeness - the qualities that used to separate professional submissions from the rest - are now available to every bidder at near-zero cost. Reading a 200-page tender pack, extracting the requirements, assembling a compliant response skeleton: the work that priced small firms out of bidding is the work AI does best.
That is genuinely good news for competition. The European Court of Auditors found that single bidding across the EU nearly doubled in the ten years to 2021, from 23.5% to 41.8% of procedures, and blamed administrative burden. AI attacks exactly that burden.
But it means a competent AI-drafted proposal is now the floor of the market, not the edge of it. If your submissions still compete on being better-written than the field, that advantage is gone. Every competitor’s draft now reads professionally.
The ceiling has not moved
Here is the structural signature of AI drafting, and the reason the floor rising does not help you win: completeness without evidence. Every criterion addressed, every heading present, methodology described competently - and almost nothing verifiable. No named contract, no figure, no date, no consequence.
Scored honestly against a typical Irish band scale, that profile sits mid-band. It cannot reach the top bands, because the top bands are defined by demonstration, and demonstration requires material the model was never given. We call this the generic ceiling, and it is the single most consistent pattern in the AI-drafted bids we score.
Top-band answers are still built from the same material as ever: named contracts, dated outcomes, real figures, verifiable claims. No model generates those. Only your delivery record contains them.
What evaluators are catching
Three patterns recur in AI-assisted submissions, and evaluators are learning to spot all of them.
Drafting residue. Assistant preambles left in body text, placeholder brackets that were never filled, boilerplate that names the wrong client or the wrong county. Residue is not itself a scoring matter in most rubrics, but it tells an evaluator exactly one thing: this passage was not read by its author before it was submitted. There is more on this in the tell-tale lines evaluators keep finding.
Me-too claims. Passages any competitor could sign - committed to excellence, a proven track record, a partnership approach - generated fluently and at length, carrying no information an evaluator can score. The test is simple: if a competitor could paste the paragraph into their own bid unchanged, it earns nothing.
Invented facts. Figures, references and case-study details a model produced to fill a gap. These are the dangerous ones, because a fabricated claim that survives to submission is no longer a style problem - it is a misrepresentation in a formal procurement document. The full list of AI bid writing risks covers the six ways this loses marks.
Where the machine actually earns its keep
AI’s real value to a bidder sits upstream and downstream of the prose: finding the right competitions, reading the pack, extracting the requirements, assembling the evidence, and checking the draft against the criteria before it goes in. Drafting is the least of it. A generated draft that no one has loaded with evidence is a mid-band answer delivered faster.
Use the tools. Then treat the output the way an evaluator will: read every line, verify every claim, and load it with the specific, dated, named evidence only your firm possesses. If a buyer asks whether AI was used, answer honestly - a named human standing behind every claim is the only assurance that matters.
The takeaway
You can use ChatGPT to write a tender. So can everyone else. The floor has risen; the ceiling has not. What separates submissions now is not who drafted the prose but whose prose carries evidence an evaluator can verify - and whether anyone read the whole thing, as an evaluator will, before it went in.
Find out what an evaluator will see before the evaluator does. BidReview scores your finished bid against the buyer’s own criteria - you write it, we audit it. Run the free scorecard →
