The verdict in three sentences
Useful business AI for a Miami SMB answers from your own documents (contracts, quotes, emails), not from a generic model that makes things up. The real budget splits in two: a scoped POC at 4,000-9,000 EUR to prove value on one precise case, then a RAG production rollout at 15,000-45,000 EUR. The recurring cost stays controlled: 3 to 15 EUR per million tokens of Claude API, plus maintenance of 600 to 1,400 EUR per month.
POC vs production: what you actually pay
The classic trap is trying to automate everything at once. You start with one measurable use case (answering RFPs, summarizing minutes, routing client emails). The table gives 2026 orders of magnitude for a 15-to-80-employee firm.
| Item | Scoped POC | RAG production |
|---|---|---|
| Duration | 2-3 weeks | 6-12 weeks |
| Budget | 4,000-9,000 EUR | 15,000-45,000 EUR |
| Indexed docs | 200-1,000 | 5,000-100,000 |
| Users | 1-3 pilots | 10-150 |
| Hosting | EU (test) | EU, GDPR-compliant |
| Deliverable | demo + ROI report | app + support + docs |
| Reversibility | raw export | export + schemas |
The POC is not disposable: its corpus, prompts and metrics become the production foundation.
Cost per token: forecasting the API bill
Leaders fear one thing most: an unpredictable AI bill. In practice, with a model like Claude and a well-built RAG architecture (only relevant excerpts are sent), consumption stays low. 2026 order of magnitude:
| Monthly volume | Estimated tokens | Estimated API cost |
|---|---|---|
| 500 queries | 2-4 M | 15-45 EUR |
| 2,000 queries | 8-16 M | 60-180 EUR |
| 10,000 queries | 40-80 M | 250-900 EUR |
| 30,000 queries | 120-240 M | 700-2,500 EUR |
Input unit cost sits around 3 EUR/1M tokens and output around 15 EUR/1M tokens depending on the model. You cap spending with per-user quotas and prompt caching.
Confidentiality: the non-negotiable clauses
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Your documents hold sensitive data. The contract must guarantee: EU hosting, no model training on your data, encryption at rest and in transit, access logging, and a reversibility clause (recovering the corpus and embeddings in open format). Add a GDPR-aligned DPA and, if needed, per-tenant isolation.
Mini case study
Helen, COO of a 42-person engineering consultancy in Miami, spends 6 hours a week drafting RFP responses. A 6,500 EUR POC indexes 800 past references; the AI proposes a first draft in 4 minutes instead of 90. Production at 24,000 EUR, support 900 EUR/month, API ~120 EUR/month. Gain: 4 hrs/week across 3 account managers, roughly 26,000 EUR/year of time reallocated. Payback in under 14 months.
FAQ
Will the AI invent answers? With a RAG architecture it cites internal sources and declines when data is missing. A well-scoped hallucination rate falls below 2-3% on a controlled corpus.
Do we need an in-house data scientist? No. The POC and support (600-1,400 EUR/month) cover corpus and prompt upkeep; a business owner suffices client-side.
How soon are results visible? A useful POC ships in 2-3 weeks. Full production takes 6 to 12 weeks depending on document volume.
Is my data used to train the model? No, it is contractual: no training, EU hosting, guaranteed reversibility.
What is the total recurring cost? Count support + API: often 700 to 2,000 EUR/month for an active SMB, hosting included.
Let's scope your project. Describe your priority use case (documents, emails, volume, number of users) and an indicative budget: we frame a fundable POC and a production plan. 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.
