Answer tenders faster with AI

Written by the editorial team · 12 November 2026 · Updated12 November 2026

AI speeds up a tender response in four places: extracting every requirement from the specifications, retrieving your past references and answers, drafting the technical memo from validated passages, and checking each requirement is answered. It should not decide whether to bid, commit to prices or deadlines, cite references you cannot prove, or submit the file. A person owns those decisions.

A tender gives you a deadline and a long document to read. Most of the effort goes into reading carefully, finding what you have already written that applies, and making sure nothing required is missing. Those are the parts where an AI agent helps. This page goes through them in the order a response is built.

Where does the time go in a tender response?

In four places, usually. Reading the specifications and the consultation rules to understand what is asked. Hunting for past references and past answers that fit. Writing the technical memo, often by adapting an earlier one. Checking, late in the process, that every requirement has an answer and every required document is attached.

You can size this on your own files. Take the last few tenders you answered and note the hours spent on each of the four steps. Then multiply by the number of tenders you answer in a year. That number is yours to compute, and it shows which step deserves the agent first.

How does the AI read the specifications?

The agent reads the whole file, not a summary of it, and turns it into a table of requirements: the requirement, where it appears in the document, whether it is mandatory, the award criteria and their weights, the documents to provide, the dates. It also flags what it finds unclear or contradictory between two sections, so a person can ask the buyer a question before the deadline for questions closes.

This table is the backbone of everything that follows. If it is wrong, the rest is wrong, which is why a person reads it first.

How does it find your references and past answers?

The agent reads your past tenders, technical memos, project sheets and team profiles, in read-only mode, in the folders you point it to. For each requirement it proposes the passages and references that match, with the document they come from and their date. You see why a reference was chosen, and you can reject it.

A reference needs more than a description. It needs a date, the client, and the right to mention it. Keep that information next to the document, and the agent can use it.

How does it draft the technical memo?

It follows the structure the buyer asks for, section by section. It reuses passages your team has already validated, adapts them to this project, and cites for each paragraph the document it was built from. Where it has nothing, it leaves a visible gap in the draft with a note, instead of filling the space with plausible text. The output is a Word file in your layout, ready for your team to rewrite where it matters.

How is compliance checked?

In a second pass, the agent goes back to the requirements table and checks each line against the draft: answered or not, in which section, with which supporting document. It also looks at the mechanical points: mandatory documents present, page limits, headings the buyer imposed, dates. The result is a checklist that a person goes through before submission. It reduces the chance of forgetting something. It does not certify that the file is compliant, because only a person reading the final file can do that.

What should AI not do alone?

• Decide whether to bid. That depends on strategy, capacity and the relationship with the buyer.
• Commit the company on prices, deadlines, penalties or guarantees.
• Claim a reference that has not been verified, or that you are not allowed to cite.
• Interpret a legal clause in the contract terms. A person with the right competence does.
• Invent figures, such as headcounts, volumes or results. Each number must come from a source in your files.
• Submit the response. A person signs and sends.

Also check, for each buyer, what the consultation rules say about the use of AI tools and about the confidentiality of the documents you are given.

What should you prepare?

• Your past tenders and technical memos in a folder, including those you lost, with the outcome noted when you know it.
• A reference list with dates, clients and the agreement to cite them.
• Current team profiles and the certifications your company holds, kept by one named person.
• One owner for the go or no-go decision, and one reviewer for the final file.

And with us?

We are a forward deployed agency: three engineers from Télécom Paris, specialised in AI, who build agents on your documents and also take on machine learning and data projects. A tender agent is an example of what we build to measure. This page describes what such an agent does, not a result obtained at a client. We work with companies in automotive (a garage network), environmental engineering and consulting.

The first call is 30 minutes, free, with no commitment. You authorise access in two clicks, without a password. We read SharePoint, OneDrive and Dropbox in read-only mode, on the folders you choose, and keep no file. A mailbox or a business tool can be connected on demand. Two weeks after the call a first agent runs, then you have a dedicated contact. The agents cite their sources, write Word and PowerPoint files and can be used from Claude, ChatGPT or Copilot. Nothing leaves without a person in your company validating it.

Security: one encryption key per company, servers in France, database in the European Union, European models (Mistral AI) under a no-training contract, installable at the client’s, erasable on request. Pricing is a set-up fee based on the volume of documents, then a monthly subscription for the whole company with unlimited users. Amounts are given during the call.

The use case in detail: answering tenders with an AI agent. What the agent does with your files: company AI agents.