You might have noticed that AI tools like ChatGPT or Claude can answer your questions, but they don’t act independently.
That’s where agentic AI comes in – it’s the next big development in artificial intelligence that works independently to finish tasks and make choices, much like a human assistant would.
The Building Blocks of Agentic AI
What makes agentic AI stand out?
Here are its main features:
Independent Action: Agentic AI doesn’t need someone watching over its shoulder. It can start and finish tasks on its own, making decisions along the way.
Smart Decision-Making: These systems weigh options and pick the best path forward, considering different factors just as you would when making a choice.
Learning and Growth: Agentic AI gets better over time. It learns from what works and what doesn’t, building on its experiences to make better choices in the future.
Clear Communication: These systems understand complex instructions and can ask questions when they need more information – just like a good colleague would.
Getting Things Done: Agentic AI can handle complicated processes with multiple steps, keeping track of progress and making adjustments as needed.
How Agentic AI Actually Works
Let’s break down how agentic AI operates in practice.
First, you tell it what you need – maybe you want to research a topic and create a presentation about it.
The AI understands your request and might ask questions to ensure it’s on the right track.
Then, it creates a plan.
For that presentation, it might decide to research first, organise the information, create slides, and add visual elements.
It assigns these different tasks to specialised components within its system.
As it works, it might check back with you: “I found these key points – would you like me to focus on any particular aspect?”
It uses your feedback to make the final product better.
Finally, it puts everything together and delivers what you asked for.
What This Means for You
You’re already seeing early versions of agentic AI in action.
When your email automatically sorts itself or your phone suggests the best route home, you see pieces of what agentic AI will bring together.
Soon, you might have AI assistants that can:
- Schedule your meetings while considering everyone’s preferences
- Manage your inbox by responding to routine emails and flagging important ones
- Monitor your home’s energy use and adjust settings to save money
- Keep track of your health data and schedule appointments when needed
Real Business Examples Today
Let’s look at three companies using agentic AI right now.
Microsoft Copilot in Office
Microsoft has built AI agents into its Office suite that do more than just help with documents.
These agents work across applications to help complete entire projects.
For example, if you’re planning a product launch, the AI can analyse your sales data in Excel, create a presentation in PowerPoint, and draft communication materials in Word – all while keeping everything consistent and aligned with your goals.
This changes how office workers spend their time, shifting from routine tasks to strategic thinking.
JP Morgan’s IndexGPT
This financial services company created an AI system that acts as an independent research analyst.
It reads through massive amounts of market data, creates investment strategies, and adjusts them based on real-time market changes.
What makes this agentic is that it doesn’t just analyse – it takes action by updating investment recommendations and portfolio strategies without constant human oversight.
This shows how AI can handle complex professional tasks that usually need skilled workers.
Walmart’s Store Assistant AI
US retailer Walmart uses agentic AI to manage its stores more efficiently.
The system monitors inventory, predicts demand, adjusts prices, and coordinates with suppliers automatically.
When it spots a trend – like unusually high sales of certain items – it can order more stock, adjust shelf space, and update pricing, all without human intervention.
This changes how store managers work, letting them focus on customer service and staff development instead of routine operations.
Looking Forward
The development of agentic AI points to a future where AI systems work alongside humans as capable partners.
They’ll become more skilled at handling complex tasks and working together in teams of AI agents.
As these systems improve, they’ll learn more effectively from their experiences and adapt to new situations.
This means they’ll become more helpful and reliable partners in both professional and personal settings.
For now, we’re seeing the first steps of this technology.
As it grows, agentic AI will become an increasingly useful part of how we work and live, making many tasks easier and giving us more time to focus on what matters most.
