Why Do I Use AI Agents? So I Have More Time for People

Last week, I worked with a Business Analyst "colleague."

Not a human. An AI agent. And I didn't just ask it questions like I do with ChatGPT. This "agent" facilitated. Brought methodologies. Used templates and workflows. Remembered context. And the product vision we created together? More professional than anything I would have written alone.

This is Agentic AI. And it's not science fiction. It's already here.

What's the difference?

When you use ChatGPT or Claude, you're playing a question-and-answer game. You ask, it answers. You control every step. And if you forget to mention something or write a bad prompt, you don't get what you wanted.

But in an Agentic AI system? The agent:

Uses its own tools (reads files, loads templates, follows workflows)
Has memory (remembers your previous conversations, preferences)
Acts proactively (doesn't just wait for instructions but makes suggestions, facilitates)
Follows methodologies (like a real expert who knows what to do and how)

This is no longer a tool. This is a digital colleague.

What was special about this?

Let me tell you about a specific moment.

The Business Analyst agent had just guided me through the first part of the product vision. I answered a few questions - target audience, main pain point, solution concept. And then it said:

"I see we talked about another project last month where you faced a similar challenge. Would you like me to incorporate some learnings from that?"

I stopped.

This wasn't a ChatGPT prompt where I have to re-explain the context every time. This was an agent with memory. Who remembers. Who learns from me.

And then came the next "aha!" moment: it loaded a methodology I'd never used before, but it fit my problem perfectly. I didn't ask for it - it suggested it, because that's what a real professional BA colleague would do.

In the end, I had a clear, structured product brief that was:

Completed faster than I would have done alone
More professional because it was built on proven methodologies
Personalized because it knew me and my context

This was no longer a tool. This was a colleague.

So what exactly is Agentic AI?

Agentic AI (or Agent-based AI) is a system that doesn't just answer your questions but acts, thinks, and decides independently to achieve a given goal.

Traditional AI (ChatGPT, Gemini, etc.):

Reactive - only responds when you ask
Stateless - every conversation starts fresh (or with limited memory)
Passive - waits for instructions
General - not specialized for specific tasks

Agentic AI, however:

✅ Proactive - makes suggestions, facilitates, leads
✅ Has memory - remembers you, your preferences, your previous work
✅ Uses tools - reads files, loads templates, follows workflows
✅ Has a specialized role - Business Analyst, Developer, Designer, etc.
✅ Learns and evolves - continuously improves from experiences

This isn't science fiction. This is technology that exists today.

But now imagine the next level.

You have a new feature idea, but it's still fuzzy.

First, you sit down with the Business Analyst agent You go through the requirements. It facilitates, asks questions, clarifies your vision. In a short time, what you want becomes crystal clear. The product brief is ready.

Then the Architect agent takes over It reviews the brief (created by the BA agent) and creates a technical plan. It makes implementation suggestions, taking into account your existing systems (because it remembers them).

The Developer agent follows Based on the technical plan, it starts writing code. Meanwhile, the Test Architect agent builds the test strategy in parallel.

And the UX Designer agent Creates wireframes, develops user flows, aligned with the product vision.

And who coordinates all this? The Orchestrator Agent. It knows:

Who works when
Who passes context to whom
Where the overlaps are
When to check back with you

What do you do meanwhile?

Make decisions
Approve directions
Fine-tune
And ultimately: take responsibility

Because yes, the final output is still your responsibility. You need to review the agents' work. But your efficiency, accuracy, professionalism? That rises to a completely different level.

Now think about this for a moment.

If you're an IT manager - like me - you know your days are filled with things that are important but not strategic. Documentation. Status reports. Boilerplate solutions. Process-tracking tasks.

And meanwhile? Meanwhile, you barely have time for what's really needed: your people. Developing your team. Strategic thinking. Real problem-solving.

Agentic AI changes this.

Not because it replaces you. But because it frees you.

When an agent team handles routine tasks, you can finally focus on why you became a leader: to lead. Develop people. Create strategy. Make decisions that matter.

But - and this is very important to clarify - the responsibility remains yours. You need to review the agents' work. Validate. Correct. Guarantee quality.

Agents don't replace. They complement. They strengthen. And so you have more time for what really matters: PEOPLE.

This change is happening now.

You might still be searching for information with ChatGPT and writing documentation with Claude today. And that's fine. But something has started.

As more of us start using Agentic AI - agents that remember, think, act - the way we work slowly changes. The way we lead. The way we build teams.

And the most beautiful part? We're not replacing people. We're liberating them.

We're liberating them from routine tasks. From boilerplate work. From repetitive, though important, but not creative tasks.

So we have more time for what we really became leaders for. So we have more time for what truly matters. For PEOPLE.

This is the promise of Agentic AI. And it's not tomorrow. It's today.

Do you also use Agentic AI tools? What are your experiences? Tell me about it - I'm curious about your story too.