LIVE WEBINAR: MCP and Skills

Agentic AI is the next major chapter following classical LLMs. Agentic systems extend language models with planning capabilities and the ability to autonomously use tools—from databases and APIs to full software applications. The result: systems that can handle multi-step tasks independently without requiring human input at every step.

This webinar explores what is possible today in practice:

• Can an AI agent act as a digital assistant that proactively acts, processes context, and is safely embedded into business processes?
• Which tasks can already be delegated meaningfully, and where is human judgment still required?
• What does this mean in practice—and what is reality versus future vision?

Your value in 30 minutes

• Agent architecture: model, memory, tool use, and planning
• Multi-agent systems: how specialized agents collaborate (orchestration)
• Process integration: embedding into existing enterprise processes and systems
• Digitalization: vibe & agentic coding and AI prototyping
• Governance: human-in-the-loop, control mechanisms, and security architecture

Your Key Takeaways

A clear overview of which processes can be meaningfully and safely delegated to AI systems—and how to distinguish real value from overhyped expectations.

Our Speakers

Oliver Ruf Head of Consulting & Projects, Board Member & Partner

Prof. Dr. Andreas Martin  Visiting Applied AI Scientist

LIVE-Webinar 

MCP and Skills - Core Components of Productive Agent Systems
Wednesday, June 24, 2026 (11:00 – 11:30 AM)
Online Event

• Register now

AI Webinar Series

In three 30-minute modules, Andreas Martin – Visiting Applied AI Scientist, PhD in Information Systems, and Professor of Applied AI at FHNW – provides a practical understanding of the most important AI developments of our time: from Large Language Models (LLMs) and Agentic AI to modern integration standards such as the Model Context Protocol (MCP).

• View the full AI webinar series