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

Dominik Adams

Hi! I’m the Head of Product Marketing for Doxis and a member of Doxis’s Innovation Team. Thus my daily business is talking and writing about some of my favorite topics: Technology trends and innovations, in particular those related to artificial intelligence, and finding ways to help our customers apply them in information management. Outside of work I like to collect records of obscure and underappreciated bands and keep on postponing the end of my active basketball career.

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