The verdict in three sentences
An AI support chatbot connected to your knowledge base (the RAG approach) costs between EUR 10,000 and EUR 35,000 to integrate in 2026, delivered in 4 to 8 weeks. The real variable cost is inference: EUR 0.002 to 0.02 per request depending on the model. With a 40-60 % automatic resolution rate, savings hit tier-1 tickets first, not headcount replacement.
What you actually pay in 2026
The budget splits into integration (one-off) and operations (recurring). Integration covers ingesting your documentation, the RAG pipeline, guardrails and wiring to your ticketing tool (Zendesk, Freshdesk, HubSpot).
| Item | 2026 order of magnitude | Type |
|---|---|---|
| Scoping + conversation design | EUR 2,000 - 5,000 | One-off |
| RAG pipeline + knowledge-base ingestion | EUR 5,000 - 15,000 | One-off |
| Ticketing integration + human handover | EUR 3,000 - 10,000 | One-off |
| Guardrails, testing, GDPR | EUR 2,000 - 8,000 | One-off |
| Inference cost | EUR 0.002 - 0.02 / request | Recurring |
| Hosting + monitoring | EUR 150 - 600 / month | Recurring |
Automatic resolution and headcount savings
The gain is measured on the volume of tickets absorbed without an agent. Orders of magnitude for a service SME:
| Monthly volume | Auto-resolution rate | Tickets avoided | Estimated saving / month |
|---|---|---|---|
| 1,000 tickets | 45 % | 450 | EUR 1,800 - 3,200 |
| 3,000 tickets | 50 % | 1,500 | EUR 6,000 - 10,500 |
| 6,000 tickets | 55 % | 3,300 | EUR 13,000 - 23,000 |
| 10,000 tickets | 60 % | 6,000 | EUR 24,000 - 42,000 |
Assumption: fully loaded cost of a tier-1 ticket handled by an agent between EUR 4 and 7 in London in 2026.
GDPR, hosting and guardrails
Two requirements shape the project. First GDPR: customer data must not train a third-party model, hence choosing a no-retention API or an EU-hosted model. Second guardrails: filtering out-of-scope answers, citing sources, mandatory escalation to a human whenever a confidence score drops below threshold. Without guardrails, a chatbot hallucinates and destroys trust.
Mini case study
Ines, support lead at a London SaaS SME (18 people, 3,200 tickets/month). She deploys a RAG assistant for EUR 24,000 of integration. At 50 % auto-resolution she absorbs 1,600 tickets/month with no agent, roughly EUR 8,000/month saved. Inference and hosting cost her EUR 900/month. Net gain: about EUR 7,100/month, paid back in just over 3 months.
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FAQ
How long to a first chatbot in production?
Allow 4 to 8 weeks: 1 to 2 weeks of scoping and ingestion, then answer iterations. A single-use-case pilot can ship in 3 weeks.
Can inference costs blow up?
They are proportional to volume: at EUR 0.01/request and 3,000 tickets/month you stay under EUR 30 of model plus context. It stays marginal against headcount savings.
Do I need a self-hosted model?
Not always. A no-retention API covers most SMEs. Dedicated hosting matters only for highly sensitive data or very high volumes.
What resolution rate should I realistically target?
Between 40 and 60 % in year one on frequent questions. Beyond that you must enrich the knowledge base continuously.
What happens when the AI does not know?
It escalates to an agent with full conversation context, which also shortens handling time for complex tickets.
Let's scope your project. Share your ticket volume, current tools and target budget for a per-request estimate. 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.
