Agentic AI
AI systems that take high-level goals as input, decompose them into actions, execute those actions via tools, and adapt based on results.
Agentic AI
Agentic AI — AI systems that take high-level goals as input, decompose them into actions, execute those actions via tools, and adapt based on results.
Agentic AI differs from prompt-completion AI in that the system itself plans, executes and verifies — humans set the goal, not the steps.
How xyner approaches agentic ai
xyner treats agentic ai as a first-class platform concern — the relevant capability is documented and tested, with clear integration points for enterprise architecture teams.
For a deeper technical reference, see the related capability page or the corresponding whitepaper linked below.
See also
Related: autonomous goal execution, planning, tool calling, multi-agent orchestration.
Ready to put autonomous agents to work?
See xyner in your environment with a guided executive demo.