What is agentic AI and how will it reshape the workforce?

Agentic AI sounds powerful, and it is, but how do you actually get started with it? Here are 3 things you need to lock in before you can really start using agentic AI properly.

1. Pick A Use Case You Actually Care About

Forget starting with a giant AI roadmap. You don’t need that. What you do need is one problem that actually slows you down or wastes your team’s time. Start there.

Ask yourself:

• What is repetitive but still requires decision-making?
• What always gets stuck in handoffs between tools or people?
• What do we say we will get to, but never do because nobody owns it?

This becomes all the more important for health-focused businesses like Brain Ritual. When dealing with something as sensitive as migraine management through clinical-grade nutrition, you don’t have room for sloppy workflows or delayed decision-making. Accuracy impacts outcomes. And trust is everything.

So, what could a strong agentic AI use case look like for Brain Ritual?

Let’s say they want to track customer feedback across multiple touchpoints – support tickets, reviews, clinical follow-ups, and even social chatter. That data can easily be missed or sit in silos. 

An agent could own that entire loop: 

• Scan and process data daily
• Classify feedback by symptom patterns or product concerns
• Flag compliance risks
• Generate a weekly report for the product team to review

That is the kind of task that feels too complex to automate, but too important to ignore. 

2. Choose Or Build The Right Agent Stack

Now that you know what you want the agent to do, it is time to figure out how it is going to do it. That means picking the right stack — tools, models, frameworks, and infrastructure.

There are 3 routes you can go:

Prebuilt Agent Platforms (No-code Or Low-code)

Good if you want speed, simplicity, and a GUI.

Examples include:

• Adept: Built-in skills, good for ops-heavy tasks
• TaskMatrix.ai: Connects to third-party APIs visually
• CrewAI or AutoGen with pre-configured agents

You configure workflows, feed in data, define outcomes. These platforms do the rest to automate complex tasks with minimal human intervention.

Modular Agent Frameworks (Code-first, Customisable)

If you have in-house devs or you are hiring AI developers (which is common with agentic AI), you can use open frameworks to build agents exactly the way you want.

Top options are:

• LangGraph or CrewAI for multi-agent coordination
• LangChain or LlamaIndex for tool chaining and context injection
• AutoGen if you want flexible conversations between agents

Yes, this gets technical. But that is why most teams doing serious agentic work eventually hire AI developers to help stand up the infrastructure. They are the ones who can actually wire things together – from setting up workflows to integrating agentic AI tools and memory. Without that, you are stuck with fancy demos that don’t work in production.

Mix-And-Match API Stack

Want full control? Use APIs directly.

For example, use OpenAI’s Assistants API + LangChain for tool orchestration + Weaviate for memory + Zapier for triggering external actions.

It is messier to maintain, but it gives you ultimate flexibility.

3. Train The Agent Like A Team Member

This is the part everyone underestimates. You can’t just build an agent and expect it to perform. You have to train it like you would a new hire. And yes, that takes time.

And this becomes even more critical if you are in a space like healthcare or wellness, where the agent’s output directly affects what people consume, whether it is part of an intake form or a product recommendation tied to someone’s wellbeing. You can’t afford vague advice or generic answers.

Here’s what to do:

Define Its Role Clearly

Give your agent a purpose, tools, goals, and boundaries.

For example:

“You are a product advisor for our supplement brand. Your job is to help customers decide whether creatine gummies or powder is the better option for them. Use the following tools: customer profile data, product specs, shipping availability, and recent reviews. Summarise the comparison in a single paragraph with a clear recommendation. If both are equally suitable, ask a follow-up question to guide the user toward a choice.”

Treat this like a job description. That is what prompt engineers do, except it is way more dynamic than a regular prompt.

Run Iterations Like Feedback Loops

Don’t expect it to get everything right at once. Review what it outputs. Add guardrails. Refine its reasoning steps.

Agentic AI works best with prompt + tool + memory + feedback loops.

Things to tweak:

• Are its summaries too long?
• Is it missing context because your memory system is weak?
• Does it get stuck when APIs return incomplete data?

You can solve these with better tools, RAG pipelines, and tighter prompt conditioning. But you need someone overseeing this, often a workflow designer or AI lead.

Give It A Long-Term Memory

Most agents forget everything once the task ends. That’s not agentic. Use vector databases to help your agents remember:

• Past decisions
• Preferences
• Company-specific policies
• Exceptions and edge cases

Your agent actually gets better the longer you work with it.

Conclusion

So, yes, agentic AI started as a curiosity, but it has quickly become a wake-up call. It is a signal that we are moving from “smart assistants” to “autonomous agents.” From tools you use… to tools that use initiative. These AI capabilities aren’t about replacing everyone. But they are about replacing a lot of the stuff you probably didn’t want to do anyway.

That said, agentic AI only creates value if people know how to work with it. And that takes more than a few prompt tutorials. It means building real AI literacy across your teams, knowing what to automate, what to delegate, and what to leave to humans. 

That is why a lot of forward-thinking companies are turning to Academy Xi. We help businesses train their workforce to understand and apply AI solutions the right way, without the complexities or wasting time on generic training. 

Want to see what that could look like for your business? Book a call with Academy Xi and get ahead of the shift.