The verdict in three sentences
A generic chatbot answers confidently and wrongly: it knows neither your products, nor your procedures, nor the customer's history. A custom RAG (Retrieval-Augmented Generation) assistant, wired to your documentation and CRM, answers on your real data — budget 15,000 to 40,000 EUR in 2026 over 6 to 12 weeks. The return: -35% level-1 tickets, a response in under 5 seconds, and your data hosted in-region.
RAG: answering without hallucinating
The difference is in the word "connected". A generic SaaS chatbot answers from a model's frozen knowledge; a RAG assistant first retrieves the right information from your sources, then writes from it, citing the source. The result: fewer inventions, verifiable answers. What we plug in:
- Knowledge base: FAQ, procedures, product sheets, standard contracts.
- CRM: customer history, orders, past tickets.
- Guardrails: an "I don't know" rather than an invention, and human escalation.
| Item | Cost / value 2026 |
|---|---|
| RAG assistant development | 15,000-40,000 EUR |
| Setup time | 6-12 weeks |
| LLM API cost per request | 0.002-0.02 EUR |
| Monthly hosting / infra | 150-500 EUR |
| Level-1 ticket reduction | -35% (order of magnitude) |
| Response time | < 5 s |
Generic SaaS chatbot vs custom RAG
A SaaS subscription starts in days but quickly caps out on relevance and data control; custom RAG needs a project but becomes an asset aligned with your business and compliant.
| Criterion | Generic SaaS chatbot | Custom RAG |
|---|---|---|
| Upfront cost | Low (setup) | 15,000-40,000 EUR |
| Subscription | 200-2,000 EUR/month | API 0.002-0.02 EUR/request |
| Answers on your data | Limited / shallow | Full, cited |
| Hallucination risk | High | Low (guardrails) |
| Data hosting | Often out-of-region | In-region by choice |
| CRM integration | Basic | Native, custom |
Mini case study
Nadia, support lead at a 40-person SaaS SME, handles 1,800 tickets a month, 60% of them level 1 (recurring questions). A RAG assistant at 28,000 EUR absorbs -35% of those tickets, i.e. ~380 tickets/month fewer. At 12 minutes average handling, that frees ~76 hours/month, the equivalent of a half-time support role, roughly ~18,000 EUR/year in labour. Estimated API cost (1,800 requests × 0.01 EUR) stays under 20 EUR/month. Estimated payback: 14 to 18 months, before counting the satisfaction gain from instant answers.
FAQ
Need a professional website?
Kolonell builds websites that attract clients, optimized for the Sénégalese market. Free quote in 2 minutes.
How much does a custom AI assistant cost in 2026?
Between 15,000 and 40,000 EUR for a RAG assistant connected to your documentation and CRM. Price depends on the volume of sources to index and the level of integration.
Can the chatbot invent answers?
RAG strongly reduces that risk: it answers from your sources and cites the reference. We also configure an "I don't know" and human escalation rather than a risky guess.
How much does the LLM API cost to run?
Roughly 0.002 to 0.02 EUR per request in 2026. For most SMEs the monthly API bill stays under 100 EUR, far below the human cost saved.
Where is our data hosted?
You choose: in-region hosting and processing are possible for compliance. Sensitive data can stay in your perimeter, with only the query sent to the model.
What real ticket gain?
Observed rollouts deliver -25 to -40% level-1 tickets in the first year, with response time cut below 5 seconds, around the clock.
Let's scope your project. Tell us your ticket volume, your sources (docs, CRM) and your compliance needs, and we'll scope a custom RAG assistant, indicative budget 15,000-40,000 EUR. 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.
