The verdict in three sentences
A business generative-AI solution in a Singapore SME is built in two stages: a POC of EUR 6,000 to 15,000 (3 to 5 weeks) then an industrialisation of EUR 20,000 to 60,000. The variable API cost stays marginal (EUR 0.003 to 0.03/1k tokens) and the run runs between EUR 200 and 1,000/month. On a well-targeted use case (proposal drafting, email triage), you save 30 to 50% of the time on the task.
POC first, industrialisation next
The golden rule of business generative AI: never industrialise without proving value on a POC. The POC validates feasibility, measures the real gain and avoids sinking EUR 60,000 into a use case that disappoints.
| Phase | 2026 range (EUR) | Duration | Goal |
|---|---|---|---|
| POC (1 use case) | 6,000 - 15,000 | 3 - 5 wks | Prove value |
| Industrialisation | 20,000 - 60,000 | 6 - 12 wks | Reliable production |
| IS integration | +5,000 - 15,000 | 2 - 4 wks | Wire CRM/ERP/mail |
| Monthly run | 200 - 1,000 /month | ongoing | Hosting, API, monitoring |
A conclusive POC moves the industrialisation success rate from "uncertain" to "near-certain", because the technical and business surprises have already been cleared.
Use cases and typical budgets
Not all use cases share the same ROI. Repetitive, high-volume text tasks are the most profitable in 2026.
| Use case | Time saved | Industrialisation budget (EUR) |
|---|---|---|
| Commercial proposal drafting | -40 to -50% | 25,000 - 50,000 |
| Inbound email triage & routing | -30 to -45% | 20,000 - 40,000 |
| Document/contract summarisation | -35 to -50% | 25,000 - 55,000 |
| Product sheet writing | -40 to -60% | 20,000 - 45,000 |
| Technical writing assistance | -30 to -40% | 30,000 - 60,000 |
The right reflex: pick a use case where the company already spends many hours, and where an AI error stays easily controllable by a human.
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Mini case study
Daniel, head of an engineering consultancy in Singapore (35 staff), industrialises proposal-drafting assistance after a conclusive POC. Budget: POC EUR 12,000 + industrialisation EUR 38,000 + run EUR 500/month. His engineers spent 120 h/month writing proposals, at EUR 55/h loaded, i.e. EUR 6,600/month. The AI cuts this time by 45%, i.e. EUR 2,970/month saved. Once the run is deducted (EUR 500/month), net gain is EUR 2,470/month: the EUR 50,000 investment pays back in about 20 months, but above all tender response times drop from 5 to 2 days, improving the win rate.
FAQ
Why start with a POC at EUR 6,000-15,000? Because it validates within weeks whether the gain is real before committing EUR 20,000 to 60,000. It is the cheapest anti-failure insurance in the project.
Can token cost spiral? Rarely: at EUR 0.003-0.03/1k tokens, even heavy use often stays under EUR 300/month. The real variable line item is the run and monitoring.
How long to industrialise? 6 to 12 weeks after the POC, plus 2 to 4 weeks if an IS integration is needed. A standalone use case ships faster than one wired to the CRM.
What time saving can I really expect? 30 to 50% on the targeted task, measured during the POC. Beyond 50%, be wary: it often implies a poorly controlled quality drop.
Should the model be hosted in-house? Not necessarily: most SMEs use APIs with EU hosting and a no-reuse data commitment. In-house hosting doubles the budget and is justified mainly for highly sensitive data.
Let's scope your project. Describe the use case where you lose the most time, your monthly volume and an indicative budget: we scope a priced POC before any industrialisation. 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.
