What is agentic AI? And how you can start using it
The idea of AI tools that can be trusted to operate independently has always been exciting-and, for a long time, just out of reach. That's changing: 84% of enterprise leaders now say they're likely or certain to increase AI agent investments over the next 12 months. Not everything marketed as agentic AI actually clears the bar, though.
Key Takeaways
- Here, we'll explore what agentic AI really is, how it works, and some real-world examples of agentic AI workflows you can start experimenting with today.
See how Zapier helps you manage, secure, and scale automation across your organization.
- Agentic AI is the bigger picture: the overall system-memory, tools, decision-making logic, and feedback loops-that lets the whole thing run without constant human input.
- Once the AI system has a picture of the situation, it needs to figure out what to do with it.
This is where an AI model , typically an LLM , looks at the goal, takes stock of the tools and information available to it, and comes up with a plan.
- This is what separates agentic AI from a one-off script.
Rather than running the same fixed sequence every time, the system adjusts based on what worked and what didn't.
- Some are hypothetical (but completely possible), and some are based on actual workflows created with an agentic AI system on Zapier.
Stats & Key Facts
- #That's changing: 84% of enterprise leaders now say they're likely or certain to increase AI agent investments over the next 12 months.
- #That's changing: 84% of enterprise leaders now say they're likely or certain to increase AI agent investments over the next 12 months.
Here, we'll explore what agentic AI really is, how it works, and some real-world examples of agentic AI workflows you can start experimenting with today. See how Zapier helps you manage, secure, and scale automation across your organization. Three phases to move from disconnected AI pilots to orchestrated systems that scale.
Here, we'll explore what agentic AI really is, how it works, and some real-world examples of agentic AI workflows you can start experimenting with today. Agentic AI is an AI system that can accomplish a goal autonomously: taking actions, making decisions, and course-correcting along the way without the need for human intervention. These goals may be narrow in focus-like automatically replying to customer emails-or wider, requiring multiple, coordinated steps-like researching a prospect, drafting a personalized outreach email, and logging the interaction in your CRM without you touching a thing.
An AI agent is a single autonomous "worker" that can perceive its environment, make decisions, and take action toward a goal. Agentic AI is the bigger picture: the overall system-memory, tools, decision-making logic, and feedback loops-that lets the whole thing run without constant human input. In practice, though, the line between the two is blurring.
For more details please read the original article at Zapier AI Blog.
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