The verdict in three sentences
In 2026, an AI customer service chatbot for B2B in Berlin runs between 10,000 and 30,000 EUR in setup, depending on knowledge-base depth and integrations. The timeline is 4 to 8 weeks, with a running cost of 300 to 1,200 EUR/month proportional to conversation volume. The real stake: cutting tier-1 tickets by 35 % while offering reliable 24/7 answers, not a bot that makes things up.
What the price covers
A credible AI chatbot in 2026 relies on RAG (Retrieval-Augmented Generation): the model answers from YOUR documents, not its general knowledge. That's what prevents hallucinations. Here's the 2026 cost structure for Berlin.
| Line item | 2026 range (EUR) | Timeline | What it covers |
|---|---|---|---|
| Scoping and perimeter | 1,500 - 4,000 | 1 wk | Use cases, guardrails, tone |
| Knowledge-base ingestion (RAG) | 2,500 - 9,000 | 1 - 3 wks | Docs, FAQ, PDF, indexing |
| CRM and tooling integration | 2,000 - 7,000 | 1 - 2 wks | Zendesk, HubSpot, human handoff |
| Interface and deployment | 1,500 - 5,000 | 1 - 2 wks | Web widget, WhatsApp, testing |
| Run (LLM + hosting + monitoring) | 300 - 1,200 / month | ongoing | Tokens, monitoring, tuning |
An AI developer's day rate in Berlin sits between 500 and 800 EUR in 2026. The run line varies widely: a chatbot at 500 conversations/month costs far less than one at 10,000.
Monthly cost by volume
Run is the line SMEs underestimate. It depends on conversation count, answer length and the chosen model (a budget vs a premium model). Here are the 2026 orders of magnitude.
| Conversations/month | Estimated LLM cost (EUR) | Hosting + monitoring (EUR) | Total run (EUR/month) |
|---|---|---|---|
| 500 | 30 - 80 | 200 - 350 | 230 - 430 |
| 2,000 | 100 - 280 | 250 - 450 | 350 - 730 |
| 5,000 | 250 - 650 | 300 - 550 | 550 - 1,200 |
| 10,000 | 500 - 1,300 | 400 - 700 | 900 - 2,000 |
| 20,000 | 1,000 - 2,500 | 500 - 900 | 1,500 - 3,400 |
Indicative 2026 figures, sensitive to the model and average exchange length.
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Mini case study
Lena, head of customer relations at a 30-person B2B SaaS vendor in Berlin, handles 1,800 tickets/month, 60 % of them repetitive (passwords, billing, features). She invests 14,000 EUR in setup (RAG on the docs + Zendesk integration) and 550 EUR/month of run.
Gain: the chatbot absorbs 35 % of tickets, i.e. around 630 tickets/month no longer reaching a human. At 12 minutes average handling, that's 126 hours/month freed for the support team. Valued at 40 EUR/loaded hour, that's 5,040 EUR/month of capacity recovered. First-year cost: 14,000 + 6,600 = 20,600 EUR for around 60,000 EUR of capacity returned. Payback by month 4.
FAQ
Will an AI chatbot invent answers? Not if it's built on RAG: it answers from your documents and cites its sources. We add guardrails so it escalates to a human rather than guessing.
What's the minimum launch cost? A chatbot focused on a FAQ and a limited base starts at 10,000 EUR in 2026, delivered in 4 weeks. We then widen the scope based on results.
Can it connect to my CRM? Yes: Zendesk, HubSpot, Intercom, Freshdesk and most tools via API. Integration costs 2,000-7,000 EUR and enables handoff and unified history.
How do I control the monthly cost? By choosing the right model and capping usage. A chatbot at 2,000 conversations costs 350-730 EUR/month run in 2026, predictable and manageable.
How does this compare to Nantes? An equivalent project costs 6,000-20,000 EUR in Nantes in 2026, with the same RAG logic and the same ticket savings.
Let's scope your project. Give us your ticket volume, your top 3 use cases and your support tool: we'll price the setup and the run. 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.