The verdict in three sentences
In 2026 in Dakar, a business AI chatbot able to qualify leads on a B2B website runs 3 to 10 million FCFA (roughly 4,600-15,000 EUR) depending on RAG depth and integrations. Go-live takes 4 to 8 weeks and lifts qualified leads by 20 to 40 %, with a very low cost per conversation. The difference from a basic chatbot: it answers from your catalogue and books meetings, instead of pointing to a dead form.
What a B2B AI chatbot costs in 2026
The budget depends on the volume of content to index, the languages (French, English) and the integrations (calendar, CRM). RAG is what enables reliable answers about your products and services.
| Item | 2026 range (FCFA) | Note |
|---|---|---|
| Scoping & content collection | 400,000 - 1,000,000 | Catalogue, FAQ, use cases |
| RAG base & indexing | 1,000,000 - 3,000,000 | Catalogue vectorisation |
| Lead qualification & scoring | 800,000 - 2,500,000 | Questions, routing, score |
| Booking & CRM integration | 600,000 - 2,000,000 | Calendar, lead creation |
| Testing, guardrails & go-live | 400,000 - 1,500,000 | Tests, filters, monitoring |
| Monthly running cost | 150,000 - 500,000 /month | Tokens, hosting, updates |
Cost per conversation stays low in 2026; the real line is the monthly running plan, which depends on visitor volume.
Use cases and pipeline impact
A well-designed AI chatbot does more than answer: it qualifies, scores and passes the best leads to sales. Here is the typical impact.
| Use case | Measurable effect | Pipeline impact |
|---|---|---|
| 24/7 product answers | -50 % unanswered requests | Fewer lead leaks |
| Automatic qualification | Budget/need/timeline score | Focused sales reps |
| Direct booking | +20-40 % meetings booked | Shorter cycle |
| After-hours responses | Leads captured at night | +10-20 % volume |
| Routing to the right rep | -30 % handling time | Better closing rate |
| Automatic follow-up | Reactivated leads | Nurtured pipeline |
By combining qualification and booking, a B2B SME turns its site into a qualified-meeting engine rather than a mere brochure.
Mini case study
Aminata, digital lead of a B2B services SME in Dakar, deploys an AI chatbot at 6 million FCFA build plus 300,000 FCFA/month run. Her site gets 4,000 visitors/month and generated 40 leads, 12 qualified. The chatbot raises qualified leads to 17 (+40 %), i.e. 5 extra qualified leads/month. At a 20 % closing rate and an average deal of 1.5 million FCFA, that is 1.5 million FCFA additional revenue/month. After the run, the build pays back in about 5 months, then the chatbot becomes a net-positive acquisition channel.
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FAQ
How long to deploy a B2B AI chatbot?
Expect 4 to 8 weeks in 2026, depending on the catalogue volume to index and calendar/CRM integrations. Content collection and structuring determine answer quality.
How much do qualified leads increase?
In 2026, well-run projects target +20 to +40 % qualified leads through automatic qualification and booking. The effect shows from the second month.
Does the chatbot handle French and English?
Yes, a serious AI chatbot handles French and English natively, useful for international clients and the diaspora. Other languages can be added as needed.
How do you avoid wrong product answers?
RAG forces the chatbot to answer from your catalogue and offer a human contact otherwise. Guardrails block out-of-scope topics.
What is the cost per conversation?
In 2026 the unit cost per conversation stays low; the budget to watch is the monthly plan of 150,000 to 500,000 FCFA, driven by your site traffic.
Let's scope your project. Tell us your monthly traffic, your catalogue and your lead targets, and we'll quote an AI chatbot with qualification, booking and CRM integration. 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.
