Built for what comes next.
Models will change. Interfaces will evolve. New ways of working will emerge. Your business intelligence shouldn't have to start over.
UNCODE builds AI agents and AI-native solutions with model flexibility, reusable capabilities, connected business knowledge and governance designed into every layer.
Agent engineering
Custom AI agents for business, built two ways.
We build it for you.
- Give us one high-friction workflow. We scope it, build the agent, connect it to your systems, test it and keep it running.
- Typical first workflows: referrals, staff checks and supplier invoices
- Connected to the systems you already run
- Tested before launch, then run and improved by our team
Your team builds its own.
- A governed platform, training and AI champions, so the people who know the work can automate it themselves, with our team beside them.
- A governed workspace with approved models
- An AI champions program and training
- Building blocks, guardrails and approvals ready to use
Explore Build
Where we work, how we build, how your team builds.
Aged care
Disability services
Community services
Utilities
Professional services
Allied health
Local government
Education and training
Retail
Property
Logistics
Hospitality- Discover
- Build
- Enable
- Evolve
- Start with the work1
- Give it the right knowledge2
- Turn the brief into a workflow3
- Set boundaries before it acts4
- Test before it goes live5
- Go live, then keep improving6
How a champion builds an AI agent.
- Start from the work you know1
- Connect approved data2
- Add the steps3
- Decide who approves4
- Publish where people work5
Your people are already building.
Illustrative example: a finance lead builds the fix himself.
He built the fix himself, in a governed workspace, with our team beside him.
- He knows where the hours go.Hundreds of month-end closes. The same reconciliations, the same checks, the same late afternoons.
- The same fix, every month.Three spreadsheets and one manual match. Too small to ever become a project, so nobody ever scoped it.
- A scoped agent would never find it.Scoped agents solve the problem someone wrote down. The hidden inefficiencies live with the people who do the work.
- So he builds the fix himself.In a governed workspace, with approved data, guardrails and our team beside him. Built visually, and checked before it goes live.
- Then he shows his team.One fix becomes a habit. Champions support colleagues day to day, inside your own teams.
- Now multiply that by your whole workforce.Every team has a repeated task like this one. Champions find them, build the fix and keep it improving.
Before you start.
What does AI agent development involve?
We map one workflow, build an agent around it, connect it to approved knowledge and systems, test it on realistic examples and release it with owners and training.
Do we need to buy a platform before we talk to you?
No. We help confirm licensing, connectors, data location and controls as part of scoping.
Does a person stay involved?
Yes. Consequential steps pause for a person to approve.
Can our own staff build AI agents?
Yes. We set up a governed platform, train internal AI champions and stay beside them, so the people who know the work can build and improve their own agents, with guardrails and approvals in place.
How is an AI agent different from a chatbot?
A chatbot answers questions. An AI agent carries out one workflow across your systems, such as reading a form and creating a record, with a person approving anything consequential.
Let's find your first use case.
Manually re-typing data between systems? Tell us about the process and our team will show you what an agent could look like, wherever you are.