The verdict in three sentences
Generative AI pays off in an SME when you target a precise business use case, not a gadget: support assistant, document extraction, quote drafting or internal search. A POC costs 8,000 to 25,000 EUR, production 25,000 to 80,000 EUR, plus 100 to 1,500 EUR/month in API cost depending on volume. The most mature cases save 20 to 40 % of processing time, with EU hosting and GDPR compliance.
Four use cases that pay
Not all use cases are equal. Here is an effort / ROI / risk grid to decide, at 2026 orders of magnitude.
| Use case | Production effort | Monthly API cost | Time saved | Risk |
|---|---|---|---|---|
| Support assistant (RAG on docs) | 25,000 - 50,000 EUR | 300 - 1,500 EUR | -20 to -40 % tickets | Medium |
| Document extraction (invoices, contracts) | 20,000 - 45,000 EUR | 150 - 800 EUR | -50 to -70 % data entry | Low |
| Assisted quote/proposal drafting | 15,000 - 35,000 EUR | 100 - 500 EUR | -30 to -50 % drafting | Low |
| Internal search (knowledge base) | 18,000 - 40,000 EUR | 150 - 700 EUR | -40 % search time | Low |
RAG (retrieval-augmented generation over your own document base) is the foundation of most of these cases: the model answers from your documents, not generic knowledge, which limits hallucinations and keeps your data controlled.
From POC to production: don't skip steps
The trap is paying for full production before proving value. Here is the recommended path and its 2026 budget.
| Stage | Goal | Budget (EUR) | Duration |
|---|---|---|---|
| Framing + use-case selection | Prioritise 1-2 profitable cases | 2,000 - 5,000 | 1 week |
| POC on real data | Prove value, measure gain | 8,000 - 25,000 | 3 - 5 weeks |
| Production | Integration, security, monitoring | 25,000 - 80,000 | 6 - 12 weeks |
| Monthly run | Tokens + maintenance + supervision | 400 - 2,500/month | ongoing |
A well-run POC is decisive: if the measured gain is below the break-even threshold, you don't go to production. That is the best protection against the "gadget AI project".
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Mini case study
Sophie, COO of an 80-person services SME in Bordeaux, handles 1,400 support tickets a month, i.e. 3 full-time agents. She funds an 18,000 EUR POC of a RAG AI assistant on her knowledge base. Measurement: average ticket handling time cut by 34 %, equivalent to ~1 FTE freed (~45,000 EUR/year fully loaded). Production at 52,000 EUR plus 900 EUR/month in tokens is approved; ROI reached in ~15 months, with first-response time halved.
FAQ
Is our data sent outside? We favour deployments with EU hosting and processing, no-training clauses on your data, and local RAG. A GDPR framing is part of the project.
What do tokens really cost? Between 100 and 1,500 EUR/month for an SME depending on volume and model. The POC precisely measures your consumption before any production commitment.
Is hallucination risk manageable? Yes, with RAG, source citation, filters and guardrails. For document extraction and internal search the risk is low because the model relies on your documents.
Do we need in-house AI skills? Not to start. We deliver the integration, monitoring and training. One business owner is enough to steer and validate answers.
How long before results? A measurable POC in 3 to 5 weeks. Production follows in 6 to 12 weeks if the POC is conclusive.
Let's scope your project. Describe the target use case (support, extraction, quotes, search) and your volumes; we'll frame a budget-controlled POC before any production. 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.
