Technical proposal and AI: what works, what doesn't
Can AI help write technical proposals? Yes, but not any AI. Generic tools produce generic content. Specialized AI transforms productivity.
Why SMEs turn to AI
Writing: 8–20 hours per proposal. At 3–5/month, nearly full-time. AI promises automation. But not all AI is equal.
ChatGPT limitations
Generic — doesn't read your documents. Wrong vocabulary. No standard structure. Hallucinations — invents references. Detectable — buyers recognize AI style.
What specialized AI changes
Example: you upload a 120-page DCE for hospital HVAC maintenance, split into 5 lots.
ChatGPT: generic text about "technical installation maintenance" with no reference to CCTP requirements, let alone per-lot adaptation.
Maître AO: a proposal per lot citing CCTP requirements (quarterly CTA maintenance, Siemens Desigo BMS, 24/7 on-call), required certifications (Qualibat 5313, F-Gas), structured per RC scoring criteria. Each lot receives a tailored proposal.
AI doesn't replace your expertise
AI proposals are advanced drafts. You add field-specific details. Workflow: few min generation — including per-lot adaptation for multi-lot tenders — then 1–2h review per lot instead of 8–20h manual.
Test: 1 free specialized technical proposal
From your documents, not a template
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