What is an Agentic AI?

AI Agents differ from conventional software by being goal-oriented, autonomous, adaptive, and interactive—elevating AI from a passive tool to an active participant in your day-to-day in the office.

What is the difference between generative AI and Agentic AI?

Unlike generative AI, which reacts to prompts with human-like text, AI Agents proactively take action on a user’s behalf—retrieving data, analysing context, and executing tasks, which is the basis of the approach’s promise of marking a shift from today’s reactive systems to truly goal-oriented, autonomous computing.

Is Agentic AI the next big thing?

Agentic AI is poised to become the next major trend, but the real value lies in cutting through the hype. Start with platforms like Doxis that enable Smart Content through intelligent automation and so lay the groundwork for your organisation’s imminent exploitation of truly autonomous, problem-solving AI.

How can Agentic AI help in business?

Early AI Agents are already in use across customer support, document processing, and marketing, while more advanced Agentic AI systems link multiple agents to operate at scale—enhancing customer experience, compliance, and full-scale marketing automation.

Authorprofile

Bärbel Heuser-Roth

For many years now, Bärbel Heuser-Roth has been dealing with a wide variety of ECM topics, from information logistics, process management and compliance to the use cases of intelligent processes for automated information management. She has also spent her career researching and writing about the implementation of ECM projects at companies and organizations.

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