AI Meetup Frankfurt

Despite massive investments and excitement around AI, the reality is stark: most AI projects fail to deliver meaningful business value. Our recent survey of 64 experienced AI practitioners from the DACH region confirms this challenge, revealing that 67% of AI projects fail, with generative AI projects showing even higher failure rates according to MIT research reaching 95%. This talk examines what drives these failures and what characterizes the successful minority. Based on detailed practitioner responses, we’ll explore why organizational challenges consistently outweigh technical ones in determining project outcomes, and examine how generative AI’s rapid prototyping capabilities create unique management challenges.

Andrei Averin, a digital marketing strategist who has automated marketing and creative workflows over 8+ years, will walk you through how AI agents can transform advertising — not just theory, but concepts he learned building this. He’ll explore agent orchestration patterns, how to structure prompts for campaign strategy, and techniques for getting AI models to collaborate effectively. He’ll explain the architecture decisions behind connecting planning agents with creative generation and performance analysis. You’ll see real ads and videos the system generated, and he’ll share what worked, what failed, and practical lessons about agent coordination. For anyone curious about building agentic systems that actually deliver business value.

AI is moving beyond single chatbots toward ecosystems of connected, autonomous agents. This talk introduces Agent-to-Agent (A2A) communication and the Model Context Protocol (MCP), two emerging standards that let agents coordinate tasks and safely access tools and data. Through real examples, we’ll explore how these technologies enable more capable, secure, and interoperable AI systems.