Understanding The Need Of Agentic AI In Today's World.

I want to start this blog by highlighting how AI is gradually becoming a part of our daily lives. After 2021, AI gained a lot of attention, first among general users like us, and then business use cases began to emerge. One major use case of AI was chatting with PDFs, which used to be very complex to create. However, with the advent of AI APIs, building such an application became much easier.

Even though AI API’s were now available for creating amazing applications like chatbots, text summarization bots, and AI interview assistants, they still struggled with providing planned and meaningful responses. Earlier AI models faced issues like not having access to real-time data and context. The context issue was addressed by RAG (Retrieval Augmented Generation) by addressing memory problem, but planned and meaningful responses were still lacking.

New Kid in Town: Agentic AI

If regular AI is like a buddy who talks non-stop, Agentic AI is that same buddy but with superpowers—it can book your flight, order a pizza, or even write some code while you relax.

What makes it special isn't just generating text, but thinking ahead: planning the task, choosing the right tools, executing, checking its work, reflecting, and then delivering the result.

This "planning + action" upgrade is why companies aren't just saving time; they're unlocking entirely new revenue streams.

Now, thanks to Agentic AI, creating platforms or software tailored to our needs has become much easier.

Let me give you a quick example:

Imagine running a real estate agency.

Normally, if a client says, “I’m looking for a 3-bedroom apartment downtown under $2,000 with a balcony,” an agent (human) has to:

1. Search through listings.

2. Filter out the irrelevant ones.

3. Compare amenities.

4. Prepare a shortlist and send it over.

With Agentic AI, this entire workflow can be automated:

• It understands the request.

• Searches through property databases.

• Filters according to budget and location.

• Cross-checks availability.

• Finally, emails the client a curated shortlist with booking links.

The client feels like they spoke to a super-efficient digital agent. For the business, this means faster sales, lower costs, and happier clients.

Why Agentic AI is a Business Game-Changer?

The real estate story is just one flavour of what Agentic AI can pull off. Businesses everywhere are already experimenting with it, and the results are… insane.

• Customer Support → Instead of just answering FAQs, agentic AI can actually reset your password, issue a refund, or schedule a technician visit on its own. That means fewer support tickets and happier customers.

• Healthcare → Imagine a digital assistant that not only answers patient questions but also books appointments, cross-checks insurance coverage, and sends reminders for prescriptions.

• Finance → AI can automatically scan through transactions, flag suspicious activity, and even take the first step in fraud resolution without waiting for human intervention.

• E-commerce → Instead of just recommending “similar items,” AI can negotiate with suppliers, check stock, and even auto-bundle discounts for the buyer.

How to Get Started with Agentic AI

Now, here’s the million-dollar question: “Cool, but how do I build something like this?”

The good news is, you don’t need to reinvent the wheel. There are already frameworks designed to help you add agentic powers to your applications:

• LangChain → Great for connecting AI with tools, databases, and APIs.

• LlamaIndex → Perfect for plugging your AI into private data sources.

• CrewAI / AutoGen → If you want multiple AI agents to collaborate like a team, these are worth exploring.

These frameworks handle the heavy lifting of planning, tool use, memory, and reflection — so you can focus on building apps that solve real problems.

The Future is Agentic

We’re still early in the agentic AI game, but here’s the thing: learning how to use it today is like learning the internet in the ’90s or mobile apps in 2008. The people who jump in early are the ones who’ll shape what comes next.

Whether you’re a founder looking to automate workflows or a developer curious about the tech, the message is the same: agentic AI isn’t hype — it’s the next evolution of AI, and it’s here to stay.