Exploring Agentic AI and how you can use it in your business

 Imagine you have a personal assistant working 24/7 for you they know what is going around you they can sense the environment, and plan your day according to it without getting any instruction from you.

Well, this is what an Agentic AI does, it senses, decides, and acts autonomously, adapting to the situation at hand without any human intervention.

What is Agentic AI?

Agentic AI is an artificial intelligence system that can operate autonomously as “agents” which means these LLM models don't just respond to the prompt given by the user but can plan actions, make decisions, and even learn from past experiences.

To do any task autonomously we need learning, memory, action, perception, planning, and cognition.

1. Learning: Think of how a human learns, learning happens by observing our environment and acquiring knowledge similarly AI agent learns by acquiring data and updating its skills per the environment.
2. Memory: To make an autonomous decision AI agents have memories that allow them to remember what steps to be taken to complete a task. Two types of memories are used by these agents “Long-term memory” and “short-term memory”.
3. Action: Action for us means movement but for AI actions can be in Virtual Reality(VR), Augmented reality (AR) or maintaining conversational history.
4. Perception: Like humans, having robust and multimodal perception is crucial for agents to understand their environment. Visual perception is one of the most important abilities, enabling the agent to comprehend the world, e.g., images, videos, and gameplay. Similarly, audio perception is crucial for understanding human intent in audio tasks.
5. Planning: The planning strategy typically depends on the goal of the task. Goal-oriented planning enables flexible operation that adapts to uncertainties due to any external and internal disturbances.
6. Cognitive Aspects: Agent AI focuses not only on the performance of individual components but also on the working of the whole system. Consider a scenario where a robot, right after being unboxed, begins to communicate with a non-expert user and swiftly adapts to carry out domestic tasks within the user’s home setting. Realizing such a system is challenging and requires a mechanism that orchestrates each Agent AI component. This orchestration functionality is referred to as the cognitive aspect of Agent AI.

Agentic AI workflow

A great example of Agentic AI is Devin AI a fully autonomous AI software engineer who created and successfully implemented a software project fully autonomously, end-to-end, from writing an implementation plan to creating a website.

How Businesses Can Use Agentic AI?

Businesses can utilize Agentic AI in numerous ways to improve efficiency, customer experience, and decision-making. Here are some practical applications:

• Streamline operations: Agentic AI can help with logistics and supply chain management and can optimize financial decision-making.
• Collaborate with other systems: Agentic AI can communicate and collaborate with other AI systems and digital infrastructures.
• Integrate external agents: Agentic AI can integrate external agents that were not originally built on the platform.
• Create a cohesive AI strategy: Agentic AI can group agents into logical domains, allowing teams to operate independently while remaining aligned with the overall AI strategy.
• Personal Healthcare agent: Agentic AI can also be used in healthcare to develop AI agents for tasks like chronic care management and wellness coaching.

Conclusion

Agentic AI promises to create systems that not only assist but proactively solve complex problems across various domains. As we continue to refine and deploy these technologies, it is crucial to approach their development with ethical considerations and a focus on ensuring that they augment human capabilities rather than replace them. Ultimately, Agentic AI could revolutionize industries, enhance productivity, and unlock unprecedented levels of innovation.

If you want to read more on Agentic AI click here.