AGNTCon + MCPCon Europe 2026

Most software companies are experimenting with AI, yet many struggle to move beyond isolated chat interactions and proof-of-concepts.

This session presents a practical case study of how a traditional software development organization with little prior AI experience adopted agentic engineering practices within 90 days. Guided by an engineer with hands-on experience in AI agents, MCP, RAG systems, and AI-native development workflows, the organization moved from sporadic experimentation to productive use of agentic systems in everyday engineering work.

Attendees will learn how high-value use cases were identified, how MCP-based tools, agent skills, and RAG-powered knowledge systems were introduced, and how trust in agent-driven workflows was established across development teams.

Not every experiment succeeded. Some assumptions proved wrong, some tools disappointed, and several approaches had to be reworked. This session shares the lessons learned, the mistakes made, and the strategies that ultimately accelerated adoption.

The result was a measurable shift from AI curiosity to AI-enabled engineering, establishing the foundations for long-term AI-native development.