THE AI SHIFT: VOL 1 — What Agentic AI Is (and What People Get Wrong About It)
The term Agentic AI is rapidly moving from technical whitepapers into boardroom conversations. But like most fast-moving buzzwords, its meaning is often oversimplified.
To understand it properly, we need to be very clear on three things: AI systems, AI models, and Agentic AI.
It is not fully autonomous in the real world
It does not “think” or have intent
It still relies on carefully designed systems, tools, and constraints
And it can still fail if the underlying setup is poor
In practice, Agentic AI is powerful — but it is still a controlled system operating within boundaries defined by humans.
Why this matters
Most confusion in AI today comes from mixing these layers together.
People say “AI did this,” but in reality:
an AI system (built with a model + tools + logic) completed a task
Understanding this separation is the key to understanding how modern AI actually works in practice.The term Agentic AI is rapidly moving from technical whitepapers into boardroom conversations. But like most fast-moving buzzwords, its meaning is often oversimplified.
To understand it properly, we need to be very clear on three things: AI systems, AI models, and Agentic AI.
What is an AI system?
An AI system is the full setup that makes AI useful in the real world.
It can include:
a model (like an LLM)
tools (APIs, software, databases)
rules and logic
memory
and workflows that control how everything runs
In simple terms:
an AI system is the complete machine that allows AI to actually do work
What is an LLM?
A Large Language Model (LLM) is just one part of an AI system.
It is the “brain” that:
generates text
answers questions
follows instructions
On its own, it doesn’t take actions. It only responds when prompted.
What is Agentic AI?
Agentic AI refers to systems that can take a goal and complete tasks on your behalf.
Instead of just responding, these systems can:
plan what needs to happen
take actions using tools and software
and adjust their approach when something changes or goes wrong
In simple terms:
it doesn’t just respond, it works towards getting something done
🚗 Simple analogy (this usually makes it click)
To understand the difference, think of it like this:
LLM = engine
The component that generates intelligence and output.
AI system = full car
The complete machine that includes the engine, steering, controls, and structure needed to operate.
Agentic AI = how you design the car to drive itself
It’s the approach of designing systems so they can act, plan, and complete journeys towards a goal.
What people often misunderstand
Agentic AI is often described as if it is a fully autonomous system that can independently replace human work.
That is not what it is today.
A few common misunderstandings:
Final FIXR Thought
Agentic AI is not a single product or model.
It is a way of designing AI systems so they can move from generating information to completing work.
That distinction — between generating and doing — is what will define how AI is actually used in real organisations over the next few years.
If you’re exploring Agentic AI but unsure how it actually behaves in real enterprise environments, I offer short AI Fix Sessions where we map where execution breaks in your current systems — from APIs to workflows to data foundations.
Book a 1:1 AI Fix Session to understand what would actually stop Agentic AI from working in your organisation.
