Tender documents with AI: from three days to one morning
The technical proposal is the bottleneck for any company that lives on public tenders. Not because it is hard, but because the calendar eats it.
A company bidding for public contracts loses fewer tenders on price than it thinks. It loses them by not turning up. Every call requires a long technical proposal, with mandatory sections the specification lists one by one, and that document is always written by the same person: the senior engineer, who has the least free time. When two tenders land in the same week, someone has to choose which one to drop.
That is a capacity problem, not a talent problem. And it is exactly the kind of problem AI handles well — as long as it is built properly.
Why copying the last tender doesn't scale
The usual method is to open the most similar past proposal and adapt it. That works, until it doesn't:
- Every specification asks for its sections in its own order and under its own names. Adapting an old one means rereading the whole thing to check nothing is missing.
- The good material is scattered across folders, email threads and two people's heads.
- If the person who knows is on holiday or on site, the proposal doesn't go out.
- Finding the tenders that fit is another manual job: checking procurement portals one by one.
The result is a company that could bid for thirty contracts and bids for ten. Not for lack of technical capacity to deliver them, but for lack of hours to write them up.
What AI does here, and what it doesn't
It is worth being precise, because this is where most projects go wrong. AI does not decide what you bid for, does not invent your technical solution and does not sign anything. What it does is draft the complete first version from your own back catalogue, in your template and with your sections, so the engineer starts from a finished document rather than a blank page.
The point isn't for AI to write the proposal. It's for the senior engineer to stop writing from scratch and start reviewing, correcting and signing.
The distinction matters. A system that tries to replace technical judgement produces documents that read well and say nothing — and in public procurement that is spotted on the first read. A system built on your previous proposals inherits your writing and your judgement, because it literally comes from there.
How it is built, step by step
- Track the public procurement portals and flag only what matches your activity, so finding tenders stops being manual work.
- Load your back catalogue of proposals: your writing, your technical judgement and your usual solutions all come from there.
- Fix your templates and the sections the specification always demands, so none of them can be forgotten.
- Generate the full draft, already formatted, with every section in place.
- Review, correct and sign. What gets submitted stays under the engineer's control.
Step three is the most underrated. A forgotten section is not a typo: in many specifications it is straight disqualification. Making the list of mandatory sections a rule of the system, rather than something a person has to remember at eleven at night, is a large part of the value.
What changed at a real company
An SME in electrical installations and assembly, with a small technical team and all its revenue depending on public tenders, built exactly this. Its technical proposals went from three days to one morning: 5× faster. With the same team they submit more tenders, and everything comes out in a single, complete format. The full case is published in case studies.
The interesting part is not the multiplier, it is what happened next. Writing stopped being the bottleneck. The question at that company is no longer how many tenders they have time for, but which ones are worth bidding on. That is a strategy conversation, not a capacity one.
Tender data doesn't have to leave your network
A tender document contains your cost structure, your suppliers and your way of solving a project. That is sensitive material. It does not need to be sent to a server outside Europe for a model to process it: it can stay on European servers or run entirely inside your company. In public procurement, that answer is usually needed in writing sooner rather than later.
Where to start
You don't need a six-month project. You need your back catalogue of proposals, your templates and the list of sections you are always asked for. That is enough to generate a real first draft and measure how long your team takes to get it ready to sign. That is what Nomos does. If that number drops, the rest decides itself.
Frequently asked questions
Can AI write a complete tender document?
It can write the complete draft, in your template, with your sections and in your style, built from your previous proposals. What it does not do is sign it: the engineer reviews, corrects and decides what gets submitted. The goal is to remove the blank page, not the technical judgement.
How long does it take to produce a technical proposal with AI?
At an electrical assembly SME, the work went from three days to one morning per proposal: about 5 times faster. The figure depends on the length of the specification and how much back catalogue the company has loaded, but the big jump comes from not starting from zero.
How do you stop a mandatory section from being missed?
The sections a specification always demands are set as rules of the system, not as something a person has to remember. The draft is generated with every section in place, so review means checking the content rather than checking whether anything is missing.
Does our tender data leave the company?
It doesn't have to. The information can be hosted on European servers or run 100% inside your own network (on-premise), with nothing leaving. A proposal contains costs, suppliers and proprietary technical solutions, so it is worth having that answer in writing from the start.
Is it worth it if we only bid for a few tenders a year?
The return grows with the number of tenders, but the problem it solves shows up earlier: the proposal depending on a single person. If the document doesn't go out when that person is away, annual volume matters less than the concentration risk.