The verdict in three sentences
Adding generative AI features (draft, summarize, classify, extract) to an existing business tool costs 10,000 to 30,000 EUR depending on the number of use cases and integration complexity. The variable cost depends on the model: 0.50 to 5 EUR per million tokens in 2026, i.e. a few cents to a few tens of cents per action. Two things decide success: confidentiality (where your data goes) and reliability (error controls), to be scoped before the first line of code.
How much integration costs
The budget depends mostly on the number of use cases and the depth of integration into the existing system (authentication, database, permissions). A well-isolated use case ships fast; multiplying use cases or touching the core domain drives the bill up.
| Scope | 2026 range (EUR) | Lead time |
|---|---|---|
| 1 simple use case (summary, draft) | 6,000 - 12,000 | 4 - 6 wks |
| 2-3 integrated use cases | 12,000 - 22,000 | 6 - 8 wks |
| Multi-case + advanced QA | 22,000 - 30,000+ | 8 - 10 wks |
| Hosting + supervision / month | 80 - 300 | — |
| API cost / 1M tokens (economy model) | 0.50 - 2 | — |
| API cost / 1M tokens (premium model) | 3 - 5 | — |
Use cases, gains and monthly cost
Not all use cases are equal: some save hours at low risk, others require systematic human review. Here's a 2026 order of magnitude for an SME of 30 to 80 people.
| Use case | Estimated gain | Estimated monthly API cost | Risk |
|---|---|---|---|
| Meeting-note summaries | 8-15 h/month | 20 - 60 EUR | Low |
| Email / reply drafting | 10-20 h/month | 30 - 90 EUR | Medium |
| Ticket/doc classification | 15-30 h/month | 40 - 120 EUR | Low |
| Data extraction (invoices) | 20-40 h/month | 50 - 150 EUR | Medium |
| Marketing content generation | 5-12 h/month | 25 - 80 EUR | High (review) |
API cost stays modest against time saved: integration and guardrails carry the value, not the token price.
Confidentiality and reliability: the two guardrails
Sending business data to an external model raises the question of processing outside the EU and reuse of data for training. We favor providers with a contractual non-reuse commitment, EU processing where possible, and anonymization of sensitive data. On reliability, we never let AI decide alone on a risky action: human validation, logging, and regression tests on a set of real cases.
Mini case study
Claire is CFO of an industrial SME in Lyon. Her team keys in 900 supplier invoices/month, 7 minutes each. Loaded cost: 32 EUR/h. Monthly time: 900 × 7/60 = 105 h, i.e. 3,360 EUR/month.
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By integrating AI extraction (18,000 EUR project) that pre-fills 80 % of fields, time per invoice drops to 2.5 minutes. New time: 900 × 2.5/60 = 37.5 h, i.e. 1,200 EUR/month, plus ~120 EUR of API. Net saving: ~2,040 EUR/month. Project payback in ~9 months, with improved data-entry accuracy as a bonus.
FAQ
Do we need a premium or an economy model?
For classification and summarizing, an economy model (0.50-2 EUR/1M tokens) is often enough. Reasoning or fine-writing tasks justify a premium model (3-5 EUR/1M tokens). We test both on your cases before deciding.
Can token cost spiral out of control?
Yes if volume explodes unchecked. We set quotas, caching and cost monitoring. In practice, API stays under 300 EUR/month for most SMEs.
Is my data used to train the model?
With the enterprise offerings of major providers, no: non-reuse is contractual. We verify it and document it in the quote.
How long before first results?
A first useful use case is deliverable in 4 to 6 weeks. We often start with the best gain/risk ratio case to prove value fast.
Can AI be integrated without rebuilding the existing tool?
Yes, in most cases we connect AI via API to the current tool, no rebuild. A rebuild is only needed if the existing system is too closed.
Let's scope your project. Tell us the business tool involved, the 1 to 3 target use cases and your volume, and we'll price integration and usage cost. 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.