Why not simply answer our tenders with an LLM?

In brief.
You respond to tenders: the files through which a customer or public buyer puts suppliers in competition, and where every statement in your response legally binds your company. It is tempting to answer them with an LLM, a large language model, the engine behind consumer generative AI. It will produce plausible text, quickly and well written. But it guarantees neither the accuracy, nor the source, nor the completeness of what it states. For an internal draft, it is an excellent tool. For a signed document, it lacks the essential thing: evidence.

The visible part of the work is not the work

The confusion comes from an optical illusion: writing paragraphs is precisely what an LLM does very well, but it is only a fraction of the process. Before writing, you need to have extracted every requirement from the file, including the one buried on page 87 of an appendix. You need to know what the company can prove, with which document, which version, which date. You need to have every sensitive statement approved by the right person, then capitalise on it for the next file.

Four structural gaps

On each of these points, a general-purpose LLM is helpless by design. It is built to always answer, never to abstain: faced with a certification you do not hold, it produces a confident wording rather than an alert. It does not trace its sources down to the document and page. It works in an isolated session, with no approval workflow and no governed framework. The practical consequence: every generated answer has to be reviewed and checked by an expert, which cancels out the promised time saving.

The right question to ask

Not “can an LLM write an answer?” (yes), but “who guarantees that every statement sent to the customer is accurate, sourced and approved?”. If the answer is “nobody”, the risk is borne by the company, without it knowing.

The Optivalue.ai approach

The Optivalue.ai platform treats the tender as a compliance object: requirement extraction, coverage matrix, confidence score from 0 to 100 for each answer, source down to the document and page, approval workflow. Drafting only comes at the end of the chain, once the evidence is established.

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Can an LLM draft a tender response ?
Yes, and often well. What it cannot do : guarantee accuracy, source every statement and carry collective approval.

‍What is the main risk ?
An invented but plausible statement inside a legally binding document, discovered by the buyer or during contract performance.