The verdict in three sentences
An internal AI knowledge assistant (a so-called RAG architecture, retrieval-augmented generation) lets your teams query procedures, contracts and internal notes in plain language, with the source cited in every answer. For a 100-employee SME in Berlin, the realistic 2026 budget is 12,000 to 40,000 EUR (excl. VAT) to build and 100 to 800 EUR per month to run. It pays back within months if you take two points seriously: access rights per department and hosting data inside the EU, ideally in Germany.
What you are really buying: three project levels
Price depends mostly on document volume, the number of sources to connect and how granular access rights must be. A basic chatbot plugged into a shared folder is a different product from an assistant that respects the org chart and logs every question.
| Level | Scope | Build budget | Timeline | Monthly cost (API + hosting) |
|---|---|---|---|---|
| Essential | 1 source (SharePoint or Drive), 500 to 2,000 documents, single access level | 12,000 to 18,000 EUR | 4 to 6 weeks | 100 to 250 EUR |
| Standard | 2 to 4 sources, per-department rights, source citations | 18,000 to 28,000 EUR | 6 to 10 weeks | 250 to 500 EUR |
| Advanced | ERP, DMS, email, per-document rights, audit log, SSO | 28,000 to 40,000 EUR | 10 to 14 weeks | 500 to 800 EUR |
| Option: Teams or Slack interface | Questions asked from the messaging tool | 2,000 to 4,000 EUR | 1 to 2 weeks | included |
| Option: ongoing maintenance | New sources, quality tuning, model updates | 300 to 900 EUR per month | ongoing | included |
The most underestimated item is document preparation: removing duplicates, archiving outdated versions, naming files consistently. Plan 5 to 15 days of internal work. An assistant that reads three conflicting versions of the same procedure will give conflicting answers.
Security and compliance: the non-negotiables
Your client contracts, salary grids and HR files must never be visible to an employee without the right to see them. The assistant must inherit existing permissions, not invent new ones.
| Requirement | Recommended 2026 approach | Indicative extra cost |
|---|---|---|
| Data hosting | Servers in Germany (Hetzner, IONOS) or an EU region of a major cloud | 0 to 150 EUR per month |
| Language model | API with a no-training commitment, EU region, or a self-hosted open-source model | 0 to 400 EUR per month |
| Access rights | Filtering by Active Directory or Microsoft Entra group before retrieval | 3,000 to 6,000 EUR |
| Traceability | Log of questions and documents accessed, kept 12 months | 1,500 to 3,000 EUR |
| GDPR | DPIA if HR data is involved, updated processing register, works council information | 1,000 to 2,500 EUR |
| EU AI Act | Employee information, internal limited-risk use | included in scoping |
Practical rule: sensitive HR and legal documents are connected in the last phase, once per-department rights have been tested on less critical content. In Germany, involve the works council (Betriebsrat) early, since logging employee queries can fall under co-determination.
How much time is saved, and on what
Gains measured in service and industrial SMEs are around 30 to 60 minutes per employee per week. They come from very concrete questions: what is the supplier return procedure, which penalty clause applies to a given client, which form to use for foreign travel expenses. Internal support (HR, quality, sales admin) benefits first, with 20 to 40 % fewer requests.
| Role | Typical questions | Weekly time saved (2026 order of magnitude) |
|---|---|---|
| Sales rep | Contract terms, prices, product sheets | 45 to 75 min |
| Technician or workshop | Work instructions, quality standards | 30 to 60 min |
| Sales administration | Dispute, return and lead-time procedures | 40 to 70 min |
| New hire | Onboarding, tools, internal rules | 60 to 120 min in the first 3 months |
| HR and quality | Fewer repetitive questions received | 2 to 4 h |
Mini case study
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Jonas, managing director of a 100-employee industrial SME in Berlin, picks the Standard level: 24,000 EUR to build and 400 EUR per month to run, so 28,800 EUR in year one. Cautious assumption: 70 employees use the tool and save 35 minutes a week over 45 weeks. That is 70 × 35 × 45 / 60 = 1,837 hours recovered. At a fully loaded cost of 45 EUR per hour, that is roughly 82,700 EUR of freed time. Even counting only one third as genuinely productive (27,500 EUR), the project pays back within the first year, then costs under 5,000 EUR a year.
FAQ
Are our documents sent to a US AI provider?
Not necessarily. You can use an EU region with a contractual no-training commitment, or an open-source model hosted in Germany for 200 to 400 EUR a month in servers.
What if the assistant makes up an answer?
The setup forces it to cite the source document and answer "I don't know" when information is missing. On a clean corpus, correct answers usually exceed 85 to 90 % after two weeks of tuning.
Do we need an in-house IT team?
No, but one referent per department is essential to validate answers during the pilot. Plan 2 to 4 hours a week for 6 weeks.
How many documents can be indexed?
From a few hundred to more than 50,000. Beyond 20,000, vector storage stays modest, around 50 to 150 EUR a month.
Can we start small?
Yes, a single-department pilot (quality or sales admin) costs 8,000 to 12,000 EUR and goes live in 4 weeks, so you measure gains before scaling.
Let's scope your project. We define the sources to connect, the access rights and an indicative budget between 12,000 and 40,000 EUR, with a pilot live in 4 to 6 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.
