The verdict in three sentences
A well-designed AI chatbot deflects 25 to 40 % of tier-1 tickets and offers 24/7 availability, without replacing your agents on complex cases. In 2026 in Amsterdam, budget 10,000 to 30,000 EUR ex. VAT for the project and 200 to 800 EUR/month in API depending on conversation volume. The success factor is not the model but the quality of your knowledge base and the scope you give it.
Cost and lead time by approach
Two paths exist: a packaged solution (fast, less flexible) or a custom RAG assistant (retrieval-augmented generation) plugged into your content.
| Item | Packaged solution | Custom RAG |
|---|---|---|
| Project (EUR ex. VAT) | 6,000 - 15,000 | 18,000 - 30,000 |
| Subscription/month | 300 - 1,200 | 0 (excl. API) |
| API/month | included | 200 - 800 |
| Lead time | 3-5 wks | 6-10 wks |
| Customisation | limited | full |
| CRM/ticketing integration | standard | custom |
At constant volume, the packaged solution costs less in year one; custom RAG becomes cheaper from year two onward and above all more accurate.
Measurable gains on tickets
Deflection depends on the share of repetitive requests. Here are 2026 orders of magnitude for B2B customer service.
| Metric | Before | After AI chatbot |
|---|---|---|
| Tier-1 tickets/month | 1,200 | 780 |
| Deflection rate | 0 % | 25-40 % |
| Average response time | 4 h | instant (24/7) |
| Cost per ticket | 6 EUR | 6 EUR (residual) |
| Agent hours saved/month | 0 | 90-140 |
| Satisfaction (CSAT) | 78 % | 82-86 % |
Mind the limits: the chatbot must hand off to a human whenever it is unsure, display its sources, and never invent a contractual answer.
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Mini case study
Sophie runs customer support at a B2B software vendor in Amsterdam, 1,200 tier-1 tickets a month. Each ticket costs 6 EUR to handle, i.e. 7,200 EUR/month. A RAG chatbot at 22,000 EUR ex. VAT plus 500 EUR/month in API deflects 35 % of tickets, i.e. 420 tickets saved, 2,520 EUR/month gross gain. Net of API: 2,020 EUR/month, or 24,240 EUR/year. The investment pays back in about 11 months, and support gains 24/7 availability that reduces customer follow-ups.
FAQ
What budget for a B2B AI chatbot in 2026? Between 10,000 and 30,000 EUR ex. VAT for the project depending on approach, plus 200 to 800 EUR/month in API for a custom RAG. A packaged solution starts at 6,000 EUR but bills 300 to 1,200 EUR/month in subscription.
How many tickets will I really deflect? In practice, 25 to 40 % of tier-1 requests, provided you have a clean knowledge base. On very repetitive questions (FAQ, order status), it sometimes exceeds 50 %.
Could the chatbot say nonsense? The risk exists if it is not controlled. We enforce source display, a human handoff when unsure, and guardrails on contractual topics. Budget 2,000 to 4,000 EUR for this reliability work.
How long to go live? A custom RAG takes 6 to 10 weeks; a packaged solution 3 to 5 weeks. The timeline depends mainly on the availability and quality of your content.
Can it integrate with our ticketing tool? Yes: integration with a CRM or ticketing tool (creation, escalation, history) is part of the custom build. Budget 2,500 to 6,000 EUR depending on the available API.
Let's scope your project. Share your monthly ticket volume, your ticketing tool and your indicative budget (10,000-30,000 EUR ex. VAT): we cost realistic deflection and timeline. 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.
