You hear the promise of AI bid writing everywhere: upload your tender documents, drop in your old proposals, and let AI write the new bid. Sounds great. But anyone who's actually written a complex proposal knows it doesn't work that way.
Over the past few years, we at Altura have worked with dozens of bid teams. And time and again, we see the same thing: writing a strong proposal isn't just about answering what the buyer asks. It's about answering the question behind the question.
The nuance AI can't see.
Take a simple example. Two tenders both ask: "Describe your approach to incident management." Same question, right?
Not quite. On one tender, you're writing for a client you've worked with for three years. They know how you operate. They want to see that you've learnt from that one incident last year, and what you've changed since. On the other, it's a new market for you. There, you need to show you understand how their sector works in the first place, and why your approach fits their specific context.
Same question. Completely different answer. And that difference doesn't live in a document or a database. It lives in the bid manager's head.
The real input behind a winning bid.
It comes down to the client relationship. Insight into ongoing accounts: what worked last time, what didn't, and why. How you want to position yourself strategically. Not just what you can deliver, but how you want to sell it.
That kind of nuance isn't something you drop into a generic AI proposal-writing prompt or workflow. It's accumulated knowledge, conversations with colleagues, a feel for what this specific client needs. That's exactly what makes bid managers and proposal writers so good at their craft.
And yes, ask AI to write your proposal based on old responses and the current ITT (invitation to tender), and you'll get an answer. But it'll be average and generic. And then you'll spend hours fine-tuning it into something that actually fits the opportunity in front of you.
When everyone leans on AI bid writing, everyone sounds the same.
This might be the most important point of all. AI is trained to recognise and reproduce patterns. That gets you tidy copy, but not distinctive copy.
And in tendering, differentiation is everything. Why you? Why now? Why this approach? Those are questions you answer with strategy, not text generation.
Can you use tools like Copilot or Claude to help with writing? Absolutely. And they can genuinely help: sharpening a paragraph, checking a phrase, getting a first draft down faster. But be critical of what comes out. Because what AI gives you is the average of everything it's seen before. And average doesn't win tenders.
Why we're deliberately taking a different direction.
At Altura, we also have a tool that can generate a first draft from your source documents. It can be a useful starting point. But I don't believe that's where the difference is made. The difference isn't in who can generate the slickest paragraph. It's in who best understands what's being asked, and crafts the smartest response to it. That is, and will remain, the work of bid teams and proposal writers.
Over the past few months, I've been working with our product team and engineers on something I've become genuinely convinced of: if you really want to help bid teams, give them time back. Not by taking the writing off their hands, but by making everything around it faster and smarter.
That's what our new AI Workflows are built for. Understanding what a tender is really asking, faster. Getting full visibility on every requirement in a fraction of the time. Spotting risks earlier. Crafting the right clarification questions. So bid teams can pour their energy into what they do best: the strategy and the compelling story that actually wins the work.
I'm proud of the direction we've taken, and I'm genuinely excited about what's coming in the next few weeks. We're far from done, but we're on the right track!
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