Local AI in the company: When sensitive data should stay in-house
Own infrastructure, controlled data flows and suitable open weights models: Where local AI offers a real advantage for sensitive industries.
The chatbot era is ending: AI agents are becoming digital employees
Claude Cowork, OpenAI Codex and open systems like Hermes or OpenClaw show the next step: AI no longer just answers questions, but takes over entire workflows.
OpenClaw and the agent hype: What digital employees can really achieve
Since the rapid rise of OpenClaw, many companies have been wondering how they can employ digital employees themselves. What is important is not the tool, but the appropriate process.
AI competence in the company: Why training will be part of the infrastructure in 2026
AI tools are becoming more powerful, but without clear application expertise they remain risky and inefficient. In 2026, every company will need a practical AI basis.
AI projects 2026: From experiment to productive process
Many companies have tried AI. In 2026 it will be about turning individual tests into resilient processes: with data, responsibilities and measurable benefits.
The digital employee: How your data becomes a learning assistant
Many companies are sitting on a treasure trove of data. We'll show you how to use historical data to train an AI assistant to perform routine tasks autonomously.
AI funding 2026: Up to 60% subsidy for South Tyrolean SMEs
The state of South Tyrol is relaunching digitalization funding. Find out how you can get your AI project co-financed by the state and what deadlines apply.
EU AI Act under criticism: practical check for South Tyrolean SMEs
Which duties have applied since August 2026, what deployers of standard software need to know and when the postponed high-risk rules take effect.