Can I Use AI to Write a Tender?
"I'll just use AI to write it."
It is one of the most common things I hear from small businesses right now. And it is a fair instinct. AI tools are everywhere, they are getting better quickly, and if you are a sole trader or a small team already stretched for time, the idea of automating some or all of the tender writing process is genuinely appealing.
The short answer is: yes, you can use AI to help write a tender. But whether you should, and how, is a more complicated question, and the answer matters more than most people realise.
I have reviewed enough tender submissions to know that AI-assisted responses are becoming easier to spot. Not because the writing is poor, but because it stays at the surface. It covers the right topics without ever really landing on them. It uses words that sound like they mean something but do not say anything specific about your business, your solution, your experience, or why you are the right choice for this particular contract.
And there is a more serious risk. A procurement exercise I am aware of was abandoned after a buyer received 2 submissions that were near-identical. The suspicion was that AI had been used to generate both. The process was scrapped and likely rerun - but no one in that round got the contract they had worked towards.
So let us look at what AI can and cannot do in the tender writing process, and how to use it in a way that actually helps your bid rather than undermining it.
What AI can do well
AI is genuinely useful at certain stages of the tender process - but only if you already know what good looks like.
If you have experience writing tenders, or working with someone who does, AI can help you get a first draft onto the page more quickly, tidy up your writing, or check that your response addresses the question that was actually asked. For those who find it difficult to translate what they do into formal written language, it can be a helpful bridge.
It can also save time earlier in the process - summarising a long specification document, identifying evaluation criteria, or helping you research a buyer or sector.
The problem is that if you are new to tendering, you may not be in a position to judge whether what AI produces is actually any good. You might not know that the response is too generic, that it has missed a compliance requirement, or that it has answered the wrong question entirely. The output can look convincing without being anywhere near what a buyer needs to see.
You do not know what you do not know, and in a competitive tender process, using AI without that foundation is a real gamble.
Where AI falls short
This is where I speak from experience.
When I review a tender that has been written with heavy AI involvement, the problem is rarely the grammar or the structure. It is the lack of specificity. The response covers the topic but never quite lands on it. It talks about commitment to quality, dedication to the client, and proven experience - without ever saying what that looks like in practice.
Buyers are not looking for well-written generalities. They are looking for evidence. What did you deliver, for whom, and what was the outcome? How specifically will you approach this contract? What makes your solution the right one for this particular requirement? AI cannot answer those questions because it does not know your business. Only you do.
A related mistake I see regularly is cut and paste tendering - taking a response written for one contract and reusing it for the next. It is understandable, but it carries the same risk. Each specification is different, and each buyer is likely looking for something slightly different from the last. A response that worked well in one context may miss the mark entirely in another. AI can make this worse, because it produces something that looks polished and complete, making it easy to assume the job is done when, actually the response has not been tailored to this buyer or this requirement at all.
There is also a compliance risk that is easy to underestimate. Tender documents can be lengthy and complex, with mandatory requirements buried across multiple sections. AI may miss them, misread them, or produce a response that appears to address them without actually doing so. If you do not know what you are looking for, you may not catch it before you submit.
Something else worth knowing: AI is not reliable when it comes to word or character counts. If a buyer specifies a maximum of 500 words, AI will often produce something well below that limit. That might sound like a safe outcome, but it is not. Word limits exist for a reason - they indicate how much detail the buyer expects to see. A response that comes in significantly under the limit is likely to be missing information, depth, or evidence. In a scored evaluation, that will cost you marks.
And then there is the question of what buyers are starting to notice. Evaluators are becoming more attuned to AI-generated responses. Whether or not they can prove it, a submission that feels generic and interchangeable with others is not going to score well - and as the example earlier in this article shows, the consequences can go further than a low score.
So, should you use AI to write your tender?
The answer is: it depends on how you use it and what AI you use.
AI works best as a supporting tool in the hands of someone who already understands the process. It can help you draft, refine and sense-check - but it cannot replace the knowledge, judgement and business-specific evidence that wins contracts.
If you are new to tendering, the risk of relying on AI is that you will not know what is missing from your submission until it is too late. A response can look polished and complete while failing to answer what the buyer actually asked, missing a compliance requirement, or saying nothing that distinguishes you from anyone else who submitted.
The businesses that tend to do well in tender processes are the ones that treat every submission as a fresh piece of work - specific, evidenced, and written with that particular buyer in mind.
If you are thinking about tendering for the first time, or you have been submitting and not seeing results, it is worth taking a step back before your next bid. Understanding the process, and what buyers are actually looking for, makes more difference than any tool you use to write the response.
Getting the balance right
AI is not going away, and there is no reason to avoid it entirely. Used in the right way, as part of a considered process and by someone who understands what a strong tender response looks like, it can be a useful tool.
It is not a shortcut. It does not know your business, your solution, or your track record. It cannot read a specification the way an experienced eye can, tailor a response to a specific buyer, or judge whether what it has produced is actually good enough to win.
Ready to use AI for your next tender?
Before you do, make sure you have covered the essentials. Download my free checklist - Before You Use AI for Your Tender - and work through the five checks every small business should complete before submitting an AI-assisted response.