White paper «agentic AI»

The invisible workforce: AI agents and the future of business

This white paper explores the rapid evolution of AI Agents – advanced AI systems that autonomously control processes, make decisions, and operate within complex business environments. Discover what lies behind the hype, how cognitive agents differ from reactive ones, which use cases have already proven themselves, and what companies should consider when getting started.

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Reactive is a thing of the past. Now systems think for themselves.

Agentic AI marks the beginning of a new era of intelligent automation: Cognitive AI agents act autonomously, learn from context, make informed decisions, and manage entire workflows – even across system boundaries. What once sounded like the future is now becoming reality.

In this white paper we show you:

Behind the Agents

Fundamentals and Types

What exactly is Agentic AI? What distinguishes reactive from cognitive agents? And why are LLM-based systems pushing autonomy-driven processes into entirely new dimensions?

Autonomy in Action

Use Cases in Practice

From intelligent call center bots and plausibility checkers to software testing agents — discover how Agentic AI is already enhancing efficiency and customer experience today.

Overcoming Challenges

Technology, Security, and Cost

Learn what to watch out for regarding data quality, API integration, permissions, explainable AI, and cost structures — and how to avoid common pitfalls along the way.

Scaling and Transforming

Agentic AI in Practice

How are agent ecosystems evolving? What value does an AI app store approach with dynamic APIs bring? And how can organizations gradually transform — from a reactive start to a fully cognitive agent landscape?