The verdict in three sentences
Above 40 tenders a year, an AI assistant fed by your past proposals pays for itself in the first year. The 2026 market budget is about 13,000 to 33,000 USD (12,000 to 30,000 EUR), plus 160 to 650 USD a month in usage, for a project delivered in 6 to 10 weeks. The assistant does not replace your bid manager: it hands them a first draft in 2 hours instead of 2 days, which they tailor to the project and the client.
Where the hours of a tender response go
A response to a construction or services tender always follows the same path. Reading the instructions to bidders and the technical specifications, searching the shared drive for similar past proposals, copying the company overview, staff and equipment, references, health, safety and environmental approach, then writing the project-specific methodology. All under deadline pressure.
In a 30 to 60 page technical proposal, 60 to 70% of the content already exists somewhere in your previous bids. The problem is finding it, picking the right version and adapting it. That is exactly what generative AI does well when paired with document search over your own files, an approach known as RAG (retrieval-augmented generation).
| Task | Manual time | With AI assistant | Automatable |
|---|---|---|---|
| Analyzing instructions and specs | 3 to 4 hours | 30 minutes with summary and requirements list | Largely |
| Finding similar past proposals | 2 to 3 hours | A few minutes | Yes |
| Company overview, resources, org chart | 3 hours | 20 minutes of review | Yes |
| Relevant project references | 2 hours | 15 minutes, filtered by type and value | Yes |
| HSE approach and waste management | 2 hours | 20 minutes of tailoring | Largely |
| Project-specific methodology | 4 to 6 hours | 2 to 3 hours from a template | Partly |
| Schedule and phasing | 2 hours | 1 hour | Partly |
| Final review and layout | 2 hours | 1 hour | Partly |
What the project includes and what it costs
A useful assistant rests on four building blocks. First, indexing your 100 to 500 past proposals, references, CVs and certificates, split and tagged by trade, project type and client. Second, a semantic search engine that retrieves relevant passages. Third, the language model, which drafts from those passages and cites its sources. Finally, an interface where the bid manager uploads the tender pack and gets a draft structured around the award criteria.
| Component | 2026 market range (excl. tax) | Note |
|---|---|---|
| Collecting, cleaning and indexing proposals | 3,300 to 7,700 USD | Depends on volume and file quality |
| Semantic search engine | 2,200 to 5,500 USD | Filters by trade, value, region |
| Drafting and criterion-based templates | 3,300 to 8,800 USD | Follows the structure the tender requires |
| Workspace and Word export | 2,200 to 6,600 USD | Works with your existing templates |
| Security, permissions and regional hosting | 2,200 to 4,400 USD | Your data never used to train the model |
| Total project | 13,000 to 33,000 USD | 6 to 10 weeks |
| Usage cost (model API, hosting) | 160 to 650 USD per month | Depends on tender volume |
Confidentiality is the first issue to settle. Your proposals contain pricing, methods and sometimes client data. The architecture must ensure hosting in your region, a contract with the model provider that excludes training on your data, per-user isolation and an access log. Consumer AI subscriptions do not meet these conditions.
At Kolonell, this kind of assistant falls under custom AI projects, in the medium to complex range: 4,000,000 to 15,000,000 FCFA (6,100 to 22,870 EUR) depending on document volume and integrations, with maintenance from 75,000 to 120,000 FCFA a month (114 to 183 EUR).
Mini case study
Emma, bid manager at a 120-employee civil engineering contractor in Leeds, answers 80 tenders a year. Each proposal takes 2 days to draft, 160 days a year. At 450 USD loaded per day, that is 72,000 USD a year.
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With the assistant, the first draft takes 2 hours and finalization another half day, about 0.75 day per proposal or 60 days a year. Savings: 100 days, or 45,000 USD of time freed up. The project costs 24,000 USD plus 380 USD a month in usage, about 4,600 USD a year. Payback in roughly 7 months. More importantly, the team can answer 20 more tenders a year: at a 15% win rate and an average contract of 450,000 USD, that is 3 contracts and 1,350,000 USD of potential revenue.
FAQ
Can AI write a technical proposal on its own?
No, and you should not try. It assembles 60 to 70% of the content from past responses, but the project-specific methodology and client tailoring remain the bid manager's job.
Does our data go to OpenAI or another provider?
Requests go through the model's API, but under a contract that excludes training and limits retention, often 0 to 30 days. Regional hosting and a model deployed in your own cloud are possible for 20 to 30% more budget.
How many proposals do we need to start?
Around fifty recent proposals are enough for a useful first result. Beyond 200, retrieval quality improves noticeably.
Do public buyers detect AI-written proposals?
They score content against the award criteria, not the tool. A generic proposal scores poorly with or without AI, which is why the project-specific part matters.
Can it be used for private bids and complex quotes?
Yes, the same foundation serves private bids, capability statements and supplier prequalification questionnaires. Budget 2,200 to 4,400 USD per new document type.
Let's scope your project. Send us three recent technical proposals and your yearly tender volume, and we will define indexing, security and a 6 to 10 week rollout. 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.
