The verdict in three sentences
A RAG assistant (retrieval-augmented generation) answers from your own documentation, which makes it reliable where a generic chatbot makes things up. For a B2B support desk handling 4,000 tickets a month, it resolves 35 to 50% of requests without a human, for EUR 15,000 to 35,000 (about USD 16,000 to 38,000) of setup and EUR 0.01 to 0.05 of inference per conversation. Quality depends less on the model than on the knowledge base, the guardrails and the handoff to a human.
What a ticket costs today
At a B2B SaaS vendor, a tier-1 support agent handles 25 to 35 tickets a day. Many are already documented questions: configuration, user rights, exports, billing, known errors. In New York, loaded agent costs run higher than in Paris, which only strengthens the case.
| Item (4,000 tickets/month) | Without assistant | With RAG assistant |
|---|---|---|
| Tickets handled by a human | 4,000 | 2,000 to 2,600 |
| Tier-1 agents needed | 6 | 3 to 4 |
| Loaded cost per agent (Paris / New York) | EUR 48,000 / USD 75,000 a year | same |
| Annual tier-1 cost (Paris basis) | EUR 288,000 | EUR 144,000 to 192,000 |
| First response time | 2 to 6 h | under 10 seconds |
| Availability | business hours | 24/7 |
| Average cost per ticket | EUR 6 | EUR 3 to 4 |
Freed-up agents move to tier 2, customer onboarding or documentation writing, which further lifts the automatic resolution rate.
What the setup budget covers
| Component | 2026 range | Scope |
|---|---|---|
| Knowledge base audit and clean-up | EUR 2,000 to 6,000 | de-duplication, updates, article chunking |
| Vector indexing and search engine | EUR 3,000 to 7,000 | vector store, hybrid search, automatic refresh |
| Model orchestration and guardrails | EUR 4,000 to 10,000 | mandatory citations, out-of-scope refusal, sensitive data detection |
| Helpdesk integration (Zendesk, Freshdesk, Intercom) | EUR 2,000 to 6,000 | widget, ticket creation, handoff to an agent with context |
| Evaluation set and testing | EUR 2,000 to 4,000 | 200 to 500 real, scored questions |
| Hosting (recurring) | EUR 150 to 600/month | server, vector store, logs |
| Inference (recurring) | EUR 0.01 to 0.05/conversation | depending on model and length |
| Total setup | EUR 15,000 to 35,000 | 6 to 10 weeks |
Off-the-shelf SaaS options (Intercom Fin, Zendesk AI) often charge USD 0.90 to 1.00 per resolution. At 1,800 resolutions a month, that is close to EUR 20,000 a year, versus EUR 1,000 to 3,000 of inference for a custom build.
Hallucinations and data: essential guardrails
A B2B assistant must never invent a feature or promise a contractual deadline. 2026 best practice: answer only when a relevant passage is retrieved (otherwise hand off), cite the source in every answer, use an adjustable confidence threshold, and strip personal data before it reaches the model. On compliance, keep the index and logs in your chosen region (EU for European clients, US for American ones), sign a DPA with the model provider, and meet transparency rules such as the EU AI Act or state laws: users must know they are talking to an AI.
Mini case study
Julien, head of customer service at a business software vendor (4,000 tickets a month, 6 tier-1 agents). He launches a RAG assistant at EUR 26,000, with EUR 300 a month of hosting and EUR 0.03 per conversation.
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- Automatic resolution rate by month 3: 42%, i.e. 1,680 tickets a month.
- Annual recurring cost: 4,000 × 12 × EUR 0.03 = EUR 1,440, plus EUR 3,600 hosting, i.e. EUR 5,040.
- Two agents redeployed to tier 2 and onboarding: EUR 96,000 of capacity freed.
- First-year result: 96,000 − 26,000 − 5,040 = EUR 64,960, payback in about 4 months. With New York salaries, payback drops to about 3 months.
FAQ
What resolution rate should we target at launch?
Expect 20 to 30% in month one, then 35 to 50% after 3 months of documentation improvements. Beyond 60%, you usually need to connect the assistant to customer account data.
Do we need to train a model on our data?
No, RAG avoids any training: the model reads your documents at answer time. A documentation update is picked up within minutes.
How do we prevent made-up answers?
Enforce citations, refusal when no source is found and a 200 to 500 question test set replayed after every change. The wrong-answer rate then drops below 2%.
Does customer data stay in our region?
Yes, if the architecture provides for it: regional hosting, a model accessed through a regional endpoint and anonymised logs. This adds 10 to 15% to hosting costs.
How long does launch take?
Six to ten weeks, two of them on documentation and two on testing. A pilot limited to one product line can go live in 4 weeks.
Let's scope your project. Share your ticket volume, helpdesk and documentation status: we price a RAG assistant between EUR 15,000 and 35,000, live in 6 to 10 weeks. 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.
