Agentic AI · Part of the AI agents guide
Agentic AI: what it is and how to build with it
Agentic AI is AI that works towards a goal by itself. You give it the goal. It plans the steps, uses your tools and checks its own work. Normal AI waits for a prompt and answers once. Here's what agentic AI means, where it fits, and how we build it into software.
Agentic AI vs the AI you already use
The word sounds big. The idea is simple. It comes down to who decides the next step: you, a fixed rule, or the AI.
Chat AI: you decide
You ask, it answers, you do the next step yourself. Good for drafts and questions. You are still the one doing the work.
Automation: a rule decides
When this happens, do that. Fast and cheap when the steps never change. It stops when something odd turns up.
Agentic AI: the AI decides
It gets a goal and works out the steps as it goes. It copes with the odd cases, inside the limits you set.
What agentic AI needs to work
A clear goal
One job with a clear finish line. 'Sort every new request and draft a reply' works. 'Help the business' does not.
Tools it can use
Access to the systems the job touches: your product, your records, email, a calendar.
Memory
A way to keep track of what it has done, so it doesn't repeat a step or lose its place.
Limits and a person in charge
Rules on what it can do alone, and a person who signs off anything that matters.
Where agentic AI fits, and where it doesn't
Good fit: mixed, repeat work
Jobs that follow a pattern but need some judgement each time, like sorting requests or writing client reports.
Good fit: work across tools
Jobs that jump between systems, where a person copies and pastes between screens all day.
Poor fit: steps that never change
If a fixed rule can do it, use automation. It costs less and breaks less.
Poor fit: one-off calls that carry big risk
If a wrong move is costly and rare, keep a person on it. Let the AI draft, not decide.
Agentic AI development: how we build it
Agentic AI development is mostly careful software work. The AI model is the easy part. The links to your tools are where it breaks.
- 01
Product call
Thirty minutes on your product, your users and the job you want done.
- 02
Map the job
We write down every step, every tool and every odd case. Then we set the limits.
- 03
Build and test
We build it into your product and test it on real cases before your users see it.
- 04
Launch and watch
It goes live. We read the logs, fix what comes up and tune it as use grows.
What to look for in an agentic AI company in Australia
Lots of teams now call themselves an agentic AI company. Ask these four things before you sign with any of them, us included.
Have they shipped real software?
A demo is easy. Ask for live products with real users. We've shipped 200+ apps since 2015.
Who owns it?
The code, the AI accounts and the keys should be in your name from day one.
How do they test it?
Ask how they check the AI's work before launch, and after. 'We tried it a few times' is not a test.
What does it cost to run?
You should see the monthly AI cost before the build starts, so your pricing still makes money.
Start here
The free AI product call
One call to work out if agentic AI is right for your product, and what it would take.
- Which job to hand over first, and which ones to leave alone
- The tools it needs to connect to, and any blockers
- The AI running cost, so your pricing holds up
- A fixed quote for the build after the call
- Product call
- 30 minutes, free
- Build price
- Fixed quote
- Running cost
- Shown upfront
Want a plan before a build? The Software Plan Workshop is $5,000, credited to a build.
★ Keep reading
More from the AI agents guide
AI agents
The full guide: what agents are, the main types and every page we've written.
AI agents guide →AI agent development
How we add an agent to your product, start to finish.
AI agent development →Multi-agent systems
When one agent is not enough, and how a team of agents shares a job.
Multi-agent systems guide →Agentic AI explained
Our earlier post on agentic AI, with worked examples.
Read the post →Agentic AI: questions, answered
What is agentic AI?
Agentic AI is AI that works towards a goal by itself. You give it the goal. It plans the steps, uses tools to do them and checks its own work. It's the idea behind AI agents.
What is the difference between agentic AI and an AI agent?
Agentic AI is the idea: AI that acts, not just answers. An AI agent is the thing you build with it. Think of agentic AI as the method and the agent as the product.
What is the difference between agentic AI and generative AI?
Generative AI makes things: text, images, code. Agentic AI uses that to get a job done. It writes the email, then sends it, then logs it. Generative AI is one part inside an agentic system.
What does agentic AI development cost?
A custom build is a fixed quote after the product call, and you see the running cost before you say yes. If you want a plan first, the Software Plan Workshop is $5,000, credited to a build.
Is agentic AI safe?
It is when you set limits. We decide with you what the AI can do alone and what a person signs off. Every step is logged, and we test on real cases before launch.
Do you build agentic AI for sales and lead generation?
No. We build agentic AI into software products. Sales agents and voice agents for lead generation are handled by a sister brand. Tell us what you need on a call and we'll point you to the right team.
Got a job your product should do by itself?
Book a free 30-minute product call. You get a clear first step, a fixed quote and the running cost before you commit.