Blog
From the Agentic University blog
What CTOs, COOs and MDs in DACH really need to know about AI adoption.
5 agentic AI myths slowing down the Mittelstand in 2026: a fact check
Better chatbots, mandatory fine-tuning, loss of control, enterprise-only toys, AI Act bans: five myths about AI agents that block decisions, fact-checked.
Agent Skills instead of prompts: AI knowledge that stays with the team
Prompt libraries do not scale: the knowledge stays with individuals. Agent Skills turn it into reusable capabilities for AI agents, now an open standard. Here is what is behind it.
Claude Cowork explained: the AI agent for everyone who does not code
Claude Cowork brings agent power to the desktop, no terminal: files, folders, documents, multi-step tasks. What Cowork can do, where the limits are and what it means for non-dev teams.
From chatbot to agent: why 2026 is the shift to agentic work
The real AI leap in 2026 is not the next model, it is the shift from chatbot to agent. What the difference is, why it is happening now, and what it means for the Mittelstand.
MCP simply explained: the Model Context Protocol as USB-C for AI agents
MCP is the common connector through which AI agents talk to your tools and data. What the Model Context Protocol is, why it became the standard and what it means for the Mittelstand in practice.
What is Claude Code? The AI agent in the terminal, simply explained
Claude Code is not a chatbot, it is an agent: it plans, executes, checks and delivers. What the tool can do, how the agent loop works, what it costs and why it is the blueprint for agentic work.
A workday with AI agents: how a Mittelstand company works with Claude Code and Cowork
A concrete day in a Mittelstand company in 2026: developers delegate to Claude Code, marketing and controlling to Cowork. What really changes, what stays the same and how to get started.
AI Act Training: proving AI literacy under Art. 4 (funding and deadline 2026)
AI literacy under AI Act Art. 4: in force since 02.02.2025, enforcement from 02.08.2026. What Art. 4 requires, what the proof of competence looks like, who is liable, and how QCG funding works.
AI Coding Training: Copilot vs. Cursor vs. Claude Code training compared
Which coding tool should you train your team on? Copilot, Cursor and Claude Code training compared: focus areas, licence tier, data governance, the 3-phase approach and the 4 KPIs.
In-house training vs. open AI courses: what works for the Mittelstand
In-house training or open AI course? The decision from a procurement and L&D angle: the five real criteria, when each format wins, the procurement vocabulary, QCG funding and a clear decision matrix.
Rolling out Claude Code in the team: training, configuration, governance
A Claude Code training that actually makes a team productive. Why most rollouts stall, the 3-phase approach, CLAUDE.md, Skills, Permissions and Multi-Agent, in-house vs. open, funding, and the 4 KPIs.
Cursor Training: from tool access to a productive agentic workflow
A Cursor training that goes beyond activating the licence. Why rollouts stay shallow, the 3-phase approach, using Rules, Agents and MCP properly, in-house vs. open, and the 4 KPIs.
GitHub Copilot Training for Engineering Teams: what actually drives productivity
A GitHub Copilot training that is more than a feature tour. Why rollouts fail on adoption, the 3-phase approach that fixes it, in-house vs. open, funding, and the 4 KPIs that prove value.
AI Board Agenda 2026: 8 Topics That Belong in Every Board Meeting
AI is a board responsibility in 2026, not an IT agenda footnote. 8 board agenda topics for every meeting in the DACH Mittelstand, 5 to 10 minutes each.
From AI Pilot to AI Program: the Scaling Leap for the Mittelstand 2026
The first AI pilot is the easy exercise. The leap to the second, third, tenth use case is where most Mittelstand companies stall in 2026. Six building blocks for the jump to a real AI program.
Human-in-the-Loop 2026: How Much Autonomy Should an AI Agent Have (Mittelstand Guide)
Fully autonomous AI agents are mostly a marketing claim in 2026. Here is the 4-stage autonomy spectrum, the 6 axes that drive the stage decision, and 4 anti-patterns that destroy trust.
AI in Controlling and Finance 2026: what mid-market CFOs can actually automate
Controlling teams still spend 60 to 70 percent of their time on manual aggregation in 2026. 7 use-cases, 3 anti-patterns, and a clear line between autonomous and human-approved.
AI in Marketing 2026: from Content Hype to Real Pipeline in the Mittelstand
AI in marketing 2026: highest hype ratio, thinnest ROI story. 6 use cases along the pipeline that move the needle in the DACH Mittelstand, plus 3 anti-patterns that damage brands.
How to Introduce Agentic AI in Your Company: the SME Guide
How to introduce agentic AI in your company: the practical guide for the Mittelstand, from use-case selection through cost and governance to the AI Act competence duty.
AI in Customer Service: What Actually Works in 2026 and What Drives Customers Away
No area forgives bad AI as little as customer service. What actually takes load off in 2026, what drives customers away, and the 4 rules in between.