// GLOSSARY -- AGENTIC AI

What is Agentic AI?

1 min read Updated

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.

FREQUENTLY ASKED QUESTIONS

What makes AI 'agentic'?
The ability to take autonomous multi-step actions toward a goal. A chatbot answers questions; an agent researches, plans, executes, and adapts. The distinction is action and autonomy.
Is agentic AI the same as AGI?
No. Agentic AI refers to current systems that can act autonomously within defined domains. AGI (artificial general intelligence) implies human-level reasoning across all domains — a much broader and more distant goal.
What frameworks support agentic AI?
LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic's tool use, and many others. PolicyLayer works with all of them.

FURTHER READING

Enforce policies on every tool call

Intercept is the open-source MCP proxy that enforces YAML policies on AI agent tool calls. No code changes needed.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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