The verdict in three sentences
In 2026 in Casablanca, a generative AI assistant for customer service runs 80,000 to 250,000 MAD (roughly 7,500-23,000 EUR) depending on RAG depth and number of languages. Go-live takes 6 to 12 weeks and cuts response time by 40 to 60 %, with a cost per query under 1 MAD. The success condition: a RAG wired to YOUR document base, not a generic chatbot that makes answers up.
What an AI assistant costs in 2026
The budget depends on the volume of documents to index, the number of languages (French, English, Arabic with RTL support) and business integrations (CRM, order database). RAG — retrieval-augmented generation — is what guarantees answers grounded in your documents.
| Item | 2026 range (MAD) | Note |
|---|---|---|
| Scoping & document collection | 10,000 - 25,000 | Content audit, use cases |
| RAG base & indexing | 25,000 - 70,000 | Vectorisation, search engine |
| Multilingual FR/EN/AR assistant | 20,000 - 60,000 | Arabic RTL included |
| Integrations (CRM, orders) | 15,000 - 55,000 | API, booking, tickets |
| Testing, guardrails & go-live | 10,000 - 40,000 | Tests, filters, monitoring |
| Monthly running cost | 3,000 - 12,000 /month | Tokens, hosting, updates |
Cost per query stays under 1 MAD for most routine requests; long queries with heavy context cost more but remain marginal.
Use cases and support savings
An AI assistant does not replace the support team: it absorbs repetitive requests and leaves complex cases to humans. Here are the typical gains.
| Use case | Automatable share | Estimated support saving |
|---|---|---|
| Order / delivery tracking | 60 - 80 % | 5,000 - 12,000 MAD/month |
| Product & availability questions | 50 - 70 % | 4,000 - 9,000 MAD/month |
| Billing & documents | 40 - 60 % | 3,000 - 7,000 MAD/month |
| Booking / callback | 70 - 90 % | 3,500 - 8,000 MAD/month |
| FAQ & procedures | 65 - 85 % | 4,000 - 10,000 MAD/month |
| Qualification before human handoff | 100 % (routing) | Agent time -30 % |
Combining two or three use cases, an SME often covers the monthly running cost within the first quarter.
Mini case study
Karim, director of a 60-employee distribution SME in Casablanca, deploys an AI assistant at 160,000 MAD build plus 7,000 MAD/month run. His support handles 3,500 requests/month; the assistant absorbs 55 %, about 1,925 requests. At 6 minutes of human handling saved per request and an agent cost of 55 MAD/h, that is about 10,600 MAD/month of freed time. After the run (7,000 MAD), net gain is 3,600 MAD/month, and the build pays back in about 20 months — before counting customer satisfaction and after-hours sales recovered.
Need a professional website?
Kolonell builds websites that attract clients, optimized for the Sénégalese market. Free quote in 2 minutes.
FAQ
How long to deploy an AI assistant?
Expect 6 to 12 weeks in 2026, including 2 to 3 weeks just to structure and index your document base — the step that determines answer quality.
Does the assistant handle Arabic?
Yes, a serious assistant handles French, English and Arabic with RTL support. Trilingualism adds roughly 20,000 to 60,000 MAD depending on content volume.
What is the real cost per query?
In 2026 it stays under 1 MAD for routine requests. The real cost line is the monthly running plan (3,000 to 12,000 MAD), not the individual query.
How do you avoid made-up answers?
RAG forces the AI to answer from your documents and say "I don't know" otherwise. Add guardrails and human handoff on sensitive topics.
Can you measure the response-time drop?
Yes: 2026 projects target -40 to -60 % on first response time. Require a dashboard with automatic resolution rate and satisfaction.
Let's scope your project. Tell us your monthly request volume, your languages and your document sources, and we'll quote a RAG assistant with guardrails and a dashboard. 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.