SME Opensource AI Hub by Tolksdorf.digital (EU AI Act compliant)

MCP stands for Model Context Protocol.

It is an open standard that allows AI models to securely access external data sources and tools—e.g., databases, files, internal APIs, or systems such as Nextcloud, Odoo, ERP, Mail, etc. In the SME Open Source AI Hub, MCP is used to:

• Connect AI agents to your systems (e.g., filing, CRM, ERP, Wiki, etc.).
• Standardize data access (instead of building a separate specialized solution for each system),
• Maintaining security and control (clearly defined, logged access).

In short: MCP is the “plug-in system” that neatly connects AI and existing IT systems.

ChatGPT Business is particularly useful if:

• the company does not want to work with Microsoft 365,
• only partially works with the Microsoft world (e.g., also Nextcloud, Odoo, ERP, Linux, web projects, open source)
• A company-wide AI layer across multiple systems is desired.
• Strategy, texts, concepts, code, and architecture should be supported—in other words, a “thinking partner,” not just office automation.
• own AI agents and workflows (e.g., via an AI hub or n8n) are to be set up

In short:

Copilot primarily enhances productivity within Microsoft 365.

ChatGPT Business is suitable as a flexible, cross-system AI basis for the entire company.

Integration makes a lot of sense if AI is to be used not in isolation but as part of an overall system landscape:

• Central access to company knowledge: ChatGPT Business can access files, databases, wikis, ERP/CRM, etc. in a controlled manner via MCP – orchestrated by the SME Open Source AI Hub.
• Fewer isolated solutions: Instead of many individual solutions (one assistant per tool), a uniform AI layer with a clear architecture is created.
• Governance & security: Access rights, logging, and data sources are regulated in the hub, not “wildly” per AI tool.
• Future-proof: New systems can be connected via MCP without rebuilding ChatGPT Business or the basic architecture.

In short:

The combination of ChatGPT Business + MCP + SME Open Source AI Hub turns an AI chat into a controllable, integrated business tool.

Exact figures are determined by actual usage in the processes. The calculation takes into account error prevention, increased effectiveness through cases that were not previously possible, and greater efficiency. Examples include troubleshooting, FAQ/support relief, lead qualification, internal searches, and much more. It is important to consider whether you can afford not to exploit potential compared to your competitors.

A modular, license-free platform for the secure and controlled use of AI in SMEs (and indeed all organizations). Target group: Management and teams who want to remain independent (self-hosting in Switzerland/EU or private cloud).

As with standard IT projects, organizational adjustments and training must also be taken into account. Recommended procedure: Experience Innovation from Tolksdorf.digital

With Quick-Check (1 week) → Pilote (2–4 weeks) for exactly one Use Case (e.g. Samy-Chat + n8n-Workflow). Orderly integration or stop – without lock-in.

Data sovereignty through self-hosting in Switzerland/EU, complete logs, human-in-the-loop decision-making, export/deletion at the touch of a button – documented and verifiable.

No license fees for the platform (open source). Costs are incurred for operation/integration/support as needed. Transparent TCO: hosting, maintenance, monitoring, training.

No license fees for the platform (open source). Costs are incurred for operation/integration/support as needed. Transparent TCO: hosting, maintenance, monitoring, training.

Via standard interfaces (API/webhooks), adapters, and clearly defined “swap points.” Models, vector databases, and authentication can be exchanged later without rebuilding.

• Microsoft Cloud is undesirable
• Many third-party systems must be integrated
• Excessive licensing costs
• Old or outdated Microsoft environments that need to be integrated
• Strict compliance with GDPR/EU AI Act requirements
• Free Large Language Model (LLM) choice is necessary

Combination of open source (e.g., Mistral, Llama) and commercial LLMs (OpenAI, Anthropic, Google) – interchangeable. Automation, e.g., with n8n, knowledge processing, and agents as needed.

RBAC/SSO (role-based access control, SSO = single sign-on), audit logs, monitoring/alerts, reproducible deployments, clear incident/exit process. Decisions are documented and can be reviewed later..

We empower your team (documentation, training, runbooks). Operation: internally, jointly, or by us—depending on resources. Goal: You can continue independently.

Yes: from single pilot to productive environment. Resources can be finely adjusted; self-hosting/private cloud enables efficient use and avoids unnecessary overhead costs.