How to use AI to write a winning technical proposal

Writing: 8–20 hours per proposal. At 3–5/month, nearly full-time. AI promises automation. But not all AI is equal.

Generic — doesn't read your documents. Wrong vocabulary. No standard structure. Hallucinations — invents references. Detectable — buyers recognize AI style.

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 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.

Here is a comparison on 8 key criteria observed across dozens of public tender responses:

The lower apparent cost of ChatGPT is misleading: time spent compensating for its limits (proofreading, correction, manual restructuring) cancels the savings, plus the real risk of producing AI-detectable content.

For an average public tender (30-50 page technical proposal, split into 3 lots), here is the typical hourly breakdown for SMEs:

Without AI (traditional method):

• Tender analysis: 3-4 hours
• Technical proposal writing (3 lots): 15-25 hours
• Administrative documents: 3-5 hours
• Proofreading and formatting: 2-3 hours
• Total: 23-37 hours per tender

With Maître AO (specialized AI):

• Upload and automatic tender analysis: 10 minutes
• Proposal generation (3 lots): 15 minutes
• Administrative documents generation: 5 minutes
• Review, enrichment and personalization: 3-5 hours
• Total: 4-6 hours per tender

Average savings of 20-30 hours per response. For an SME responding to 5 tenders/month, this is over 100 hours saved monthly — equivalent to a half-time freed up for sales strategy. At EUR 50 loaded hourly cost for a sales-writer, savings reach EUR 5,000/month. The Pro subscription at EUR 79/month represents less than 2% of these savings.

Here is the user feedback of a Nice-based SME specialized in private security (guarding, surveillance, event security), Maître AO user since spring 2026.

Before Maître AO: 2 sales people, 1 director writing technical proposals himself. Maximum capacity: 3 responses/month. Win rate: 18%. Proposals often written in haste with copy-pasted passages from old responses, penalizing the technical score.

After adopting Maître AO:

• Capacity raised to 8 responses/month (+167%)
• Proposals specifically adapted to each tender (hospitals, town halls, public buildings)
• Administrative documents (DC1, DC2, CNAPS authorization, SSIAP certificates) generated in minutes
• The director freed up 2 days per week for prospecting and customer follow-up
• Win rate after 3 months: 27% (+50%)

The performance trigger: Maître AO's ability to analyze a guarding tender and structure the proposal per precise requirements (SSIAP staff per site, 24/7 continuity plan, GDPR for video recordings, internal security code compliance). Where ChatGPT would produce generic text about "service quality", Maître AO cites precise applicable code articles and quantifies staff numbers based on requested time slots.