The verdict in three sentences
In a construction firm answering 70 RFPs a year, the technical proposal eats 60 hours of engineers who should be on site. An AI assistant connected to your reference library can produce about 40% of the first draft: methodology, staffing, comparable projects, health, safety and environment plan. The real gain is less about speed than about consistent quality, which lets you bid on more work without hurting your win rate.
Where the 60 hours of a technical proposal go
In Ontario, public work flows through portals such as MERX, Bids and Tenders and Infrastructure Ontario procurement, while large private owners (developers, institutions, utilities) impose their own templates. Either way, the technical submission often carries 40 to 60% of the score. Yet much of it is repetitive: superintendent résumés, equipment sheets, comparable projects, safety procedures under the Occupational Health and Safety Act.
| Proposal section | Current hours | Share AI can draft | Hours with assistant |
|---|---|---|---|
| RFP and specification analysis | 8 h | 30% (summary, requirements list) | 5.5 h |
| Construction methodology | 14 h | 35% | 9 h |
| Staffing and tailored résumés | 9 h | 70% | 3 h |
| Equipment and resources | 5 h | 60% | 2 h |
| Comparable projects | 7 h | 65% | 2.5 h |
| Schedule and phasing | 8 h | 15% | 7 h |
| Quality, safety, environment plan | 6 h | 55% | 3 h |
| Review and formatting | 3 h | 0% (more review) | 4 h |
Total: from 60 hours to about 36 hours, 24 hours saved per bid. Scheduling and phasing stay mostly human because they depend on site constraints and subcontractors. Review time rises slightly: that is the price of reliable content.
What a bid-writing assistant costs
Three approaches coexist in 2026. Generic AI chat subscriptions are cheap but know nothing about your references or résumés. Specialized proposal software is mature in North America but needs heavy configuration for construction. A custom application plugged into your document base costs more upfront but works with your own data.
| Option (2026 ballpark) | Setup cost | Monthly cost | Knows your 300 references | Data location |
|---|---|---|---|---|
| Consumer AI chat | 0 CAD | 30 to 40 CAD per user | No | Vendor's cloud |
| Specialized proposal software | 5,000 to 15,000 CAD | 1,000 to 3,000 CAD | Partly | US or Canada |
| Kolonell custom application | Per the grid below | AI usage of 200 to 700 CAD, plus maintenance | Yes, indexed and current | Set in the quote |
Kolonell prices a custom application on its grid: 2,500,000 to 4,000,000 FCFA (3,810 to 6,100 EUR) for a simple project, 4,000,000 to 7,000,000 FCFA (6,100 to 10,670 EUR) for a medium one, 7,000,000 to 15,000,000+ FCFA (10,670 to 22,870+ EUR) for a complex one. An assistant with search over 300 references and résumés, section generation and Word export in your house template is usually medium complexity. Application maintenance follows the 35,000, 75,000 or 120,000 FCFA monthly grid (53, 114 or 183 EUR). AI model usage is passed through at cost.
The guardrails you cannot skip
A technical proposal commits the company. Four rules prevent bad surprises: the AI only cites projects that exist in the library, linking to the source record; every generated résumé is approved by the person or by HR; no duration or quantity figure is produced without a source in the bid documents; and an engineer signs off the final version. On data, client files and pricing stay out of consumer tools, and the library is partitioned by business unit if the firm also works in Quebec or the US, where language and procurement rules differ.
Mini case study
David, VP Preconstruction at a 400-person general contractor in Toronto, oversees 70 proposals a year at 60 hours each, or 4,200 hours. At a loaded engineer cost of 95 CAD an hour, that is 399,000 CAD a year.
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With the assistant, each proposal drops to 36 hours: 24 hours x 70 bids = 1,680 hours saved, about 159,600 CAD of engineering time freed each year. Annual running costs: AI usage at 450 CAD a month (5,400 CAD) plus maintenance at 114 EUR a month. Even with a medium-complexity build, payback comes in a few months. Better still, the same team can now answer 90 RFPs instead of 70. At an 18% win rate, that means roughly 3 to 4 additional contracts a year.
FAQ
Can AI write a full technical proposal?
No, and it should not. It drafts about 40% of the first version on repetitive sections; site-specific methodology, scheduling and technical choices are still written by engineers.
Do evaluation panels penalize AI-generated text?
They mostly penalize generic text that does not answer the specification. An assistant fed with your 300 references produces precise, verifiable content, which is the opposite of generic.
How long until the assistant is live?
Plan 6 to 10 weeks: 2 to 3 weeks to structure and index references and résumés, then development and a pilot on 3 to 5 real bids.
Is our pricing data exposed?
Cost breakdowns can be excluded from the assistant. Model providers used through their APIs do not train on your data under their 2026 business terms, and access is restricted by role.
Will our win rate go up?
No tool can promise that. The most reliable effect is the ability to answer 20 to 30% more RFPs with the same team, with more consistent quality across submissions.
Let's scope your project. We structure your reference and résumé library, then deliver a writing assistant tested on your next bids within weeks. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
