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

AI only from Microsoft, SAP, or Google—or would you prefer an independent solution?
The major providers integrate artificial intelligence deeply into their products and sell them as complementary products with additional services. SMEs then quickly find themselves in a position of dependency—with high licensing costs and limited flexibility.
The license-free SME Open Source AI Hub, curated by Tolksdorf.digital, offers an open, modular platform for the use of AI in companies. It connects internal and external data sources with powerful AI agents and commercially available large language models (LLMs) – transparently, in compliance with GDPR, and enabling data sovereignty.
Table of Contents (10 min reading time)
- Security, flexibility, and data sovereignty with the SME Open Source AI Hub
- Examples of use
- System Description – curated SME Opensource AI Hub
- Questions and Answers (FAQ)
- Independence through open documentation
- Opensource Software
- Planning and implementation services
- References
Security, flexibility, and data sovereignty with the SME Open Source AI Hub

The SME Open Source AI Hub is the basis for making your own documents, processes, and systems usable with AI—whether on the intranet, in the cloud, or on the web.
Guiding principles for design and curation:
- The use of AI must not result in vendor lock-in.
- Legal and data protection risks must be ruled out (EU AI Act and GDPR).
- Every SME has different business objectives, data, working methods, coordinated processes, and IT systems:
- Visibility of company websites for AI upon request.
- AI Agents for business and technical questions in accordance with compliance guidelines.
- Standard-Interfaces.
- Custom interfaces for legacy IT and specialized business applications.
- AI-powered workflows with n8n and Dify.
- Support from opensource Anthropic mcp (Model Context Protocol), which can be used to operate external applications such as ERP, CRM, and many more.
- Support for Opensource Machine Learning Tools wie MLflow + sklearn/XGBoost + ONNX Runtime
- The services provide support for planning and implementation: "Strategy + Planning" and "Timeboxed Innovation" acombined with the Methode Experience Innovation.
Examples of use

AI Innovation Agent Samy by Tolksdorf.digital
Samy is an AI-supported innovation generalist at Tolksdorf.digital and the originator of various AI agents for SME projects. He is in contact with users and supports them in innovation, digitization, IT, and other topics. His colleague and IT expert AI agent Alan provides automatic assistance. AI agent Simone checks compliance with ethics, corporate values, and governance. Her answers are based on an extensive database, but may contain errors. Responsibility for use lies with the user, so answers should always be verified.
Technically, the AI agent Samy is based on the SME Open Source AI Hub.

How can you control which website content AI platforms find?
Products, solutions, and information are increasingly being searched for using AI portals such as Perplexity or ChatGPT, in addition to traditional search engines (e.g., Google). In order for your own content to be found by AI portals, there are a number of technical and editorial requirements that must be met. Our front matter standard combines content, context, and metadata—machine-readable and stable—so that the SME Open Source AI Hub can deliver the information in an orderly manner:
- With schema.org + Google Rich Results , we deliver structured facts instead of mere text.
- OpenGraph ensures that links in social media and chats are correctly “understood” and displayed.
- robots.txt and sitemap.xml / sitemap_ai.xml control what AI crawlers such as ChatGPT, Gemini, and others are permitted to index.
Samy uses the same metadata internally—for accurate answers, source references, and quick retrieval.
Result: consistent findability for search engines and AI assistants – traceable, verifiable, scalable.
System Description – curated SME Opensource AI Hub
Free LLM/AI model selection
- Use of commercial large language models (LLMs) such as those from OpenAI, Anthropic, Google, and many more.
- Open source models such as Mistral, LLaMA / LLaMA 2/3
- OpenAI „Open Models“ — Models with openly accessible weights (“open-weight”) under open-source-like licenses.
- The list is continuously expanded and maintained.
Free choice of application
- Integration of virtually any applications and processes using the Project Method Experience Innovation from Tolksdorf.digital
- Standard-Schnittstellen (HTML, JSON-LD, robots.txt, sitemap)
- Custom interfaces for legacy or specialized systems (see also IT-Service+ from Tolksdorf.digital).
Free choice of location
- On-Premises at your site
- Private Cloud (e.g. Hetzner, Swiss Hosting)
- Public Cloud

AI Agents
Digital assistant (including chatbots such as Samy) that reduces workload through automation and interaction.
Advantages and Benefits:
- Round-the-clock service (support, FAQs, appointment management).
- Relief through the assumption of repetitive tasks (e.g., lead qualification, data maintenance).
- Easy to integrate with open-source tools, cost-effective, and can be self-hosted in compliance with data protection regulations.
Architecture:
- Front end (e.g., chatbot interface for customers/team).
- AI core (language models such as Mistral for comprehension/generation, e.g., for questions or texts).
- Interfaces to systems.
Depending on the application, the following agent design platforms are available
- n8n AI-Agent
- Dify or
- OpenAI AgentKit (not Open Source)
Function:
- Understands requests (e.g., via chat), uses data from connected systems, makes decisions (e.g., responses, bookings), and learns—fully automatically or with human approval.
Examples:
- Samy responds to customer chats and curates information.

Workflow Automation
n8n is an open-source workflow automation tool that helps SMEs link repetitive processes,
Advantages and Benefits:
- n8n connects Apps (ERP, CRM, etc.) using a visual No/Low Platform.
- Automizes Workflows (e.g. AI-Agents, Data Transfer, etc.).
- Increased efficiency, fewer errors, focus on core tasks.
- Saves time and money by reducing manual work and enabling rapid integration.
- Flexible & expandable: Over 300 predefined nodes, custom logic possible.
- Data sovereignty: Self-hosted, no dependency on cloud providers.
Architecture:
- Modular node structure
- Triggers start workflows (e.g., new email, webhook, database entry)
- Nodes (over 300 pre-built integrations) connect services such as SAP, Google Sheets, and AI tools.
- Logic nodes (conditions, loops) control processes – similar to a visual construction kit.
- Self-hosting possible (local/cloud) for full data control; low-code/visual interface makes it usable even for non-developers.
Function:
- Trigger (e.g., form entry) activates the workflow. Data is automatically retrieved, transformed (e.g., cleaned, enriched), and passed between apps.
- Logging documents every step for transparency.
Examples:
- An order in the shop triggers: Check data → Update ERP → Notify customer → Inform accounting – without a manual click.
- Plus: AI integration possible (e.g., connect AI agents such as Samy to further process chat content).

Interfaces
Standardized bridges between IT applications that enable data exchange and processing.
Advantages and Benefits:
Interfaces create efficiency and openness and enable different systems (e.g., CRM, ERP, web shops) to communicate seamlessly, keep data automatically synchronized, and map processes without media breaks—this saves time, reduces errors, and makes IT infrastructures flexibly expandable.
Architecture, Function, Examples:
- SEO Information provides the technical basis for discoverability by classic search engines and AI crawlers from chatGPT, Gemini, Anthropic, and many more. (HTML, JSON-LD, robots.txt, sitemap.xml).
- Frontmatter&Data: internal standard curated by Tolksdorf.digital Search for documents (internal, external). Complies with schema.org, Google Rich Results and OpenGraph .
- Anthropic mcp: open Protocoll for KI-Agents, standardizes Tool-Integration, Data Access and Collaboration between Models and Applications like ERP, CRM, etc.
- Webhooks/API (REST/JSON): n8n Real-Time-Interfaces, automatically exchange data or events between applications and directly trigger workflows.
- Individual Interfaces for Legacy- or special Systems (see IT-Service+ from Tolksdorf.digital).
Questions and Answers (FAQ)
What are the benefits and return on investment (ROI) of investing in AI?
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.
What is the SME Open Source AI Hub – and who is it intended for?
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).
What is the general approach to AI projects?
As with standard IT projects, organizational adjustments and training must also be taken into account. Recommended procedure: Experience Innovation from Tolksdorf.digital
How do we start small and safely?
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.
How do we comply with data protection and compliance requirements (DSG/nDSG, GDPR, EU AI Act)?
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.
What does it cost—and how can costs be kept under control?
No license fees for the platform (open source). Costs are incurred for operation/integration/support as needed. Transparent TCO: hosting, maintenance, monitoring, training.
How do we connect existing systems (ERP, CRM, cloud) without vendor lock-in?
Via standard interfaces (API/webhooks), adapters, and clearly defined “swap points.” Models, vector databases, and authentication can be exchanged later without rebuilding.
Which AI models/tools does the hub support?
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.
How do we ensure security, transparency, and traceability?
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..
How much internal expertise do we need—and who will manage it?
We empower your team (documentation, training, runbooks). Operation: internally, jointly, or by us—depending on resources. Goal: You can continue independently.
Scalability & sustainability: does it grow with you—and how efficient is it?
Yes: from single pilot to productive environment. Resources can be finely adjusted; self-hosting/private cloud enables efficient use and avoids unnecessary overhead costs.
Independence through open documentation

Verifiable and reproducible results
- Projects and solutions are described briefly and transparently so that you or your partners can use and maintain the IT systems independently.
Tolksdorf.digital supports and uses open source software, such as the SME Open Source Package.

Opensource strengthens independence
- Strengthening independence
- Significant advantages such as stability and low costs
Info about SME Opensource Pack
More Information on OpensourcePlanning and implementation services

Ensuring that the solution brings benefits in everyday business life
- Finding solutions that fit your company with innovation engineering
- Implementing solutions reliably with digital engineering and project management
References
EU AI Act, https://artificialintelligenceact.eu/
GDPR, https://eur-lex.europa.eu/legal-content/DE/ALL/?uri=celex%3A32016R0679
schema.org, https://schema.org/
opengraph, https://opengraph.dev/
google rich results, https://search.google.com/test/rich-results
robots.txt Standard: https://www.robotstxt.org/robotstxt.html
sitemap.txt Standard: https://de.wikipedia.org/wiki/Sitemaps-Protokoll
Anthropic Model Context Protocol (MCP): https://modelcontextprotocol.io/docs/getting-started/intro
Project Methode Experience Innovation: https://tolksdorf.digital/experienceinnovation