The verdict in three sentences
In 2026, a CIO's winning AI strategy isn't a massive project but a targeted POC at 8,000 - 25,000 EUR delivered in 4 to 8 weeks on a fast-ROI use case. The four most profitable families are drafting, summarizing, extraction and classification: they rest on repetitive, measurable tasks. Industrialization follows (20,000 - 60,000 EUR) once value is proven and GDPR guardrails are in place.
Prioritize by ROI, not by hype
The trap is wanting to "do AI" everywhere. The winning method ranks use cases by volume x unit time x feasibility. A high-volume, low-legal-risk case goes first.
| Use case | Typical volume | Time saved | Complexity | Priority |
|---|---|---|---|---|
| Drafting (emails, quotes) | High | 40 - 60 % | Low | 1 |
| Summarizing (minutes, docs) | Medium | 50 - 70 % | Low | 1 |
| Extraction (data from PDFs) | High | 40 - 65 % | Medium | 2 |
| Classification (tickets, mail) | High | 30 - 50 % | Medium | 2 |
| Code / query generation | Medium | 20 - 40 % | High | 3 |
POC budget then industrialization
The POC validates value on a narrow scope with real data. Industrialization adds security, integration, monitoring and scale.
| Phase | 2026 range (EUR) | Timeline | Deliverable |
|---|---|---|---|
| Scoping + use-case choice | 2,000 - 5,000 | 1 - 2 wks | Prioritized backlog |
| POC on 1 use case | 8,000 - 25,000 | 4 - 8 wks | Costed proof of value |
| Industrialization | 20,000 - 60,000 | 8 - 16 wks | Production solution |
| Run + API | 100 - 900 EUR/month | - | Hosting + tokens |
| Maintenance | 250 - 700 EUR/month | - | Updates + supervision |
Cloud AI building block or custom on internal data
A ready-made cloud block speeds up the POC; custom on your internal data maximizes relevance and control. The right choice depends on data sensitivity.
| Criterion | Cloud AI block | Custom on internal data |
|---|---|---|
| Time-to-POC | 2 - 4 weeks | 4 - 8 weeks |
| Business relevance | Generic | High (dedicated RAG) |
| GDPR control | Variable | Strong |
| Entry cost | Low | Medium to high |
| Vendor lock-in | High | Low |
| Best for | Quick tests | Sensitive data |
Mini case study
Thomas, CIO of an industrial SME in Berlin (120 staff), wants to cut the time spent writing sales proposals. His 6 salespeople each spend 8 h/week, i.e. 48 h/week. An assisted-drafting POC at 16,000 EUR targets 45 % savings: 48 x 0.45 = 21.6 h/week freed, roughly 94 h/month. At an average loaded cost of 38 EUR/h, that's 3,570 EUR/month of value recovered. With a 400 EUR/month run, the POC pays back in ~5 months, justifying industrialization.
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FAQ
Which use case should I start with?
Start with drafting or summarizing: high volume, low risk, 40 to 70 % time saved. These prove value fastest, in 4 to 8 weeks.
What does a credible AI POC cost?
Between 8,000 and 25,000 EUR in 2026 for a single use case delivered in limited production. Below that it's a demo; above, it's already industrialization.
How do you handle GDPR and confidentiality?
You minimize data sent to the model, choose compliant hosting, log access and avoid exposing unnecessary personal data. A legal scoping of 2,000 to 4,000 EUR secures the POC.
How do you limit hallucinations?
By grounding answers in your documents (RAG), showing sources and keeping a human in the loop on sensitive cases. Reliability is measured from the POC, targeting an error rate below 3 %.
When do you move from POC to industrialization?
As soon as the POC proves ROI under 6 to 9 months and a controlled error rate. Industrialization costs 20,000 to 60,000 EUR but builds on already-proven value.
Let's scope your project. List your 3 most time-consuming, repetitive tasks: we'll prioritize a fast-ROI POC, costed and GDPR-framed. 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.
