Agentic AI

Into the future with autonomous AI agents

Autonomous intelligence for maximum productivity

What is Agentic AI?

Agentic AI represents a new generation of artificial intelligence: AI agents that independently perform tasks, make decisions and interact with their environment – without constant human guidance. These autonomous agents utilise powerful language models (LLMs), access tools and APIs, and orchestrate complex processes. The goal: greater efficiency, scalability and innovation within the organisation

Why is Agentic AI relevant for businesses?

With Agentic AI, businesses are embracing intelligent automation. Instead of reactive systems, they are creating proactive digital assistants that can independently draft emails, process enquiries, gather information or manage workflows. This opens up new possibilities in areas such as:

  • Customer service (e.g. 24/7 support from AI-powered agents)
  • Sales (e.g. virtual sales consultants, lead qualification)
  • IT and Operations (e.g. automated task processing, self-healing systems)
  • Knowledge management (e.g. smart information retrieval via conversational agents)

adesso makes Agentic AI accessible

As an experienced IT service provider, we support businesses on their journey towards Agentic AI – with a technology-neutral approach and practical solutions. Whether it’s Microsoft, Google or Salesforce: we combine the right tools with use cases, governance and data strategy.


Technology partners and solutions


Agentic AI Use Cases and Practical Insights

  • Smart information retrieval using conversational agents

    Conversational agents provide dialogue-based access to complex data sources – intuitively, efficiently and around the clock. In this blog post, you’ll learn how companies use them to optimise their internal knowledge work. To the blog

  • Governance for AI agents: security and control

    Agentic AI needs clear guidelines. How can we ensure accountability, transparency and compliance in autonomous AI agents? We examine key aspects of AI governance and outline practical solutions. To the blog