Agentic AI
Agentic AI describes AI systems that pursue a defined goal by planning steps, using tools and data, and carrying out tasks with a degree of autonomy – rather than only answering questions.
AI
Explanation
Conversational AI responds to a prompt with text. Agentic AI goes further: an agent receives an objective, breaks it into steps, calls tools or systems, evaluates intermediate results, and adjusts its approach until the task is complete or needs human input.
Typical building blocks are a large language model for reasoning, access to tools and data sources, memory of the current task, and rules that define what the agent may and may not do. Several agents can work together in a multi-agent system.
Why It Matters
In SAP finance, agentic AI can take over repeatable work across the project and operations lifecycle: analyzing system configuration, generating test scenarios, comparing postings with expected results, documenting solutions, and investigating errors. Because financial systems carry accounting and audit responsibility, agentic AI should operate within clear boundaries, with qualified specialists reviewing results and approving decisions.
Related Terms
AI Agent · Multi-Agent System · Large Language Model · Human-Governed Automation
Related Solution:
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