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Agentic AI Explained: What It Is, Why It Matters, and How to Get Started

May 7th, 20269 mins

Key Points:

  • Learn the Basics of Agentic AI
  • Why Businesses are Adopting Agentic AI to Improve Workflow
  • How Agentic Engine Can Give You a Head Start with AI agents

AI is advancing faster than any other technological breakthrough before it. It feels like every day there's a new model or product promising to harness the power of AI to unleash your business's full potential. But from Microsoft to Meta, one breakthrough is being adopted more eagerly than any other, and for good reason.

It's called agentic AI, and the reason agentic AI is generating such appetite is because it offers the potential to completely transform your enterprise workflows and processes, unlocking value for companies across all levels.

It's exactly this reason that ThinkingAI's Agentic Engine aims to empower every company with a scalable AI agent team that can be deployed across your organization and automate entire portions of your data analytics workflow. All to unleash your AI and human workforce's true potential.

What Is Agentic AI and Why are Enterprises Adopting It So Quickly?

When AI, as we know it today, hit the mass market, most of the attention was focused on generative AI. Customers were using generative AI to create all kinds of different content, from writing articles to creating illustrations and videos. Recently, generative AI has found great utility as a coding tool for developers.

While enterprises have begun to find uses for generative AI within their organizations, they've found limitations as well, as generative AI technology requires human input in order to create text, images, videos, and code.

But where generative AI is used to create content, agentic AI is a system designed to complete tasks autonomously, unlocking new value for enterprises looking to integrate AI into their workflows.

Here's a real-life example using ThinkingAI's Agentic Engine.

You might ask a generative AI chatbot to share some of the best practices for analyzing user data for their app. The AI can recommend popular tools, and explain popular methodologies.

But Agentic Engine's AI-powered data analytics solution is able to deploy AI agents that not only analyze your app's user data, but can autonomously create dashboards, daily summaries and results for key tracked metrics, and, even create and execute campaigns that can improve those metrics if Agentic Engine detects any anomalies, such as a sudden spike in churn.

While generative AI still provides the underlying language or image model required for the agent to work, the agentic layer adds tool use and autonomous execution to not just help members of your enterprise team, but basically turn agents into full-fledged members.

How Does an Agentic AI Work?

According to MIT Sloan School of Management professor John Horton, there is no universally accepted definition of agentic AI. However, the basic consensus is that agentic AI are systems that utilize autonomy, tools, memory, and feedback loops to initiate and complete complex tasks independently.

IBM explains how agentic AI can do this using the following loop:

Perception: The agentic AI begins by collecting data which forms the bedrock of knowledge for the AI to act on.

Reasoning: Once it has the data, the AI agent can process insights from it to detect patterns and understand "context," which will help the AI determine potential actions it can take.

Goal setting: The AI agent is then given a task or goal from user input, which it will then set about achieving.

Decision-making: The AI agent will evaluate multiple possible actions and choose the optimal one based on the data and tools it has access to.

Execution: The AI agent can then execute on its plan, utilizing different tools, data, and APIs to provide the best possible outcome.

Feedback: The AI agent can then learn from the results of its action, gather feedback, and improve future decisions or strategies. This feedback loop is what makes the AI agent more effective over time.

Ultimately, the main points that define agentic AI is its ability to start and complete tasks autonomously, with no human intervention required, and its ability to utilize tools, API, and data to make complex, multi-step decisions that lead to an optimal business outcome.

Why Businesses are Choosing Agentic AI

Agentic AI offers several enterprise advantages over generative AI primarily because of how it can handle complex, multi-system tasks. This means the AI agent doesn't just answer queries, but it can autonomously act towards a goal, often at a speed much faster than humans. An operation that can take hours can be done in minutes with an AI agent.

Additionally, whereas generative AI is typically limited to a single interface and requires humans to give it the requisite information, AI agents, like the ones powering Agentic Engine, are able to connect to different APIs and systems, making them more useful within an enterprise setting.

This also makes agentic AI a better ROI on integration investment as the agentic layer can now work across your entire tech stack, which enterprises often spend millions on annually. Agentic AI isn't just another subscription, it's an operator that can actually utilize the tools your company subscribes to.

How Agentic Engine Can Empower Your Enterprise With AI Agents

Hopefully this introduction to agentic AI has answered some of your most pressing questions. But to actually begin integrating AI agents into your enterprise, look no further than ThinkingAI's Agentic Engine.

With over 10 years of data analytics experience, ThinkingAI has powered over 1,500 companies and 8,000 apps with the tools to turn insights from user data into revenue growth and user retention. We have since turned this decade's worth of experience into an agentic AI solution that can deploy highly-specialized AI agents across your enterprise that not only gathers insights from your data, but can autonomously act on them, all without sending data outside your enterprise.

Throughout this month, ThinkingAI will publish blogs that will introduce you to Agentic Engine, including its design pillars, features, and real-life use cases. You can also learn more about Agentic Engine by speaking to one of our product experts directly by booking an in-person demo today.

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