What is Agentic AI?
AI systems that act autonomously to achieve goals — perceiving environment, making decisions, taking actions without step-by-step human instruction. The evolution from AI that responds to AI that acts.
WHY IT MATTERS
Traditional AI responds to queries. Agentic AI takes initiative — given a goal, it plans, uses tools, adapts, and works toward completion independently.
Driven by LLMs that reason, plan, and use tools through function calling. Combined with frameworks providing memory and execution loops, LLMs become agents.
When agentic AI handles money — trading, purchasing, paying — it becomes agentic finance, and spending controls become critical.
HOW POLICYLAYER USES THIS
Agentic AI handling money needs PolicyLayer — the spending controls layer ensuring autonomous decisions stay within human-defined financial boundaries.