Automated technical bid

The technical bid often carries most of a tender’s “technical merit” score — and it is still usually written by hand, tender after tender. Here is how an AI trained on your own references produces a solid, tailored first draft that your teams only need to refine.

The technical bid: what wins the tender

In a public tender as in a private one, technical merit is scored on the technical bid (or method statement). Depending on the contract, it carries a major share of the final score — often as much as price, or more. A generic technical bid, copied from one tender to the next, shows immediately and costs points.

The problem is not your teams’ talent: it is time. Writing a technical bid truly tailored to the tender package, working from your references and methods, takes several days for every tender. With the same team, you respond to fewer tenders, or respond less well.

What the AI reads in the tender package (DCE)

A tender package (DCE) brings together several documents, each with its own role. The AI reads them to frame the technical bid: the consultation rules (RC) set the scoring criteria and the documents to submit; the technical specifications (CCTP) set the technical requirements the bid must answer point by point; the administrative terms (CCAP) govern the contract; the schedule of unit prices (BPU) and the lump-sum price breakdown (DPGF) carry the pricing; the commitment form (AE) formalizes the offer.

For the technical bid, what matters most is the CCTP: every requirement needs a clear answer. The AI maps each CCTP requirement to your methods so that none is missed — that is where the most points are lost.

The workflow, from tender to written technical bid

DCE intake: the AI reads the RC and the CCTP and extracts the requirements, the scoring criteria and what is expected. Requirement mapping: each point of the CCTP becomes a box to fill. Reference selection: the AI draws on your past projects, resources and methods — your winning technical bids become a knowledge base.

Structured drafting: the AI produces a first version of the technical bid, organized under the expected headings — company overview and organization, staff and equipment, delivery methodology, schedule, quality and safety management, environmental and CSR approach. Human approval: your teams review, tailor and finalize. The AI writes the first draft; people stay in charge of anything that commits the company.

Before / after: from days to a few hours

Depending on the size of the tender, what used to take several days can come down to a few hours of real work: the AI delivers a complete, structured first draft, and your teams focus on what makes the difference — arguments specific to the contract, the strengths of your references, adjustments to the method. The gain is twofold: respond to more tenders, and respond better to each one.

It saves time; it is not autopilot: the technical bid stays yours, approved by your teams before submission.

Your references stay confidential

Your past technical bids, your prices and your references are a strategic asset. At AIR.TEK, these documents train only your model, and you choose where the AI runs: cloud, sovereign cloud, or your SABER server, from which nothing is sent to a third-party service. Your data trains only your model and is never pooled.

Integration with your tools

The AI connects to where your documents already live — document management system, shared drive, past tender folders — and to your tools via API. No heavy migration: it works on your real references, where they are.