Most AI solutions today assist humans. The next generation of systems will execute work independently.

Autonomous AI agents represent a fundamental shift in how we think about AI-enabled systems. Instead of simply responding to prompts or assisting users through chat interfaces, agents can reason, plan, gather information, evaluate options, and take action in pursuit of a goal.

In this talk, we will explore what autonomous AI agents are, why they matter, and how they differ from traditional automation, copilots, and low-code AI workflows. We will look at how agents can discover information, work across multiple data sources, build knowledge, identify gaps, and dynamically determine the next best step instead of following a predefined process.

The session will also address what it takes to move from impressive demos to enterprise-ready agentic systems. We will discuss key architectural patterns, orchestration models, operational concerns, and the safety, governance, and control mechanisms required when AI systems are allowed to act on behalf of users and organizations.

Attendees will leave with a clear understanding of the opportunities and challenges of autonomous AI agents, how they can transform business processes, and why the future of AI is not just smarter chat interfaces—but autonomous digital workers capable of turning objectives into outcomes.

Delivery Options
- Duration: 30–60 minutes (flexible)
- Language: Danish or English
- Level: Inspiration (300)