Managed intelligence. What does that actually mean? UNCODE builds, governs, secures and runs AI for your organisation, so your team gets the results without carrying the risk. See the operating model
Our people paste client data into AI. Is that a problem? It can be. Guardrails detect and mask regulated data before it reaches a model, agents only reach the data their job needs, and approved tools give staff a safe place to work. Compliance stays your responsibility, and certifications belong to the platforms UNCODE delivers on. See guardrails
Staff are already using ChatGPT. Now what? Give them a governed workspace with approved models and clear policy, so people keep the benefit and your data stays under your control. See the governed workspace
We tried a chatbot. Why would an agent be different? A chatbot answers questions. An agent also takes steps in your systems, such as reading a form and creating a task, within the permissions and approvals you set. See what we build
Who looks after the AI once it is built? UNCODE does. We run your AI after go-live: monitoring, model management, cost tracking and support, as one accountable service. See managed operations
Nobody owns AI here. Where do we start? Start with who owns each use case, what data it may touch and who approves what it does, then record the decisions. UNCODE sets that up and reports on it. See governance
What could an AI agent do that we would regret? Reach data it should not, act on a bad output, or do something nobody approved. Agent constraints, guardrails, a tool gateway, red teaming and human approval address each one. See the six controls
Our AI pilot worked. Why will it not scale? Often the pilot never gets an owner, approved data access or a way to be checked. UNCODE builds around one real workflow, with an owner, connected systems and approvals from day one. See how we build
How would we know if the AI started getting it wrong? Agents are monitored for performance and errors, and every step is logged, so drift shows up early. Models can also be swapped later without a rebuild. See monitoring
Do we actually need an AI policy? Yes, if staff or agents use AI on work data. A short policy covering approved tools, data rules and named approvers is enough to start, and UNCODE sets it up in the governed workspace. See governance
Who signs off when the AI makes a decision? A named person. Anything consequential waits for approval, every action is logged, and anything the agent is not confident about is left for a person to check. See human approval
Can we try AI on just one workflow first? Yes, that is how we start. The agent is tested before launch and a person reviews its output, so you see real results before widening it. See how we build
The AI bill keeps growing. How do we control it? Model usage is tracked across departments, with running cost shown beside adoption and quality, against your budget. See cost tracking
Connected to the systems your business already runs on.
Microsoft Teams
Xero
SharePoint
MYOB
Microsoft Teams
Xero
SharePoint
MYOB
Oracle
Atlassian
HubSpot
Google Cloud
Databricks
Slack
Oracle
Atlassian
HubSpot
Google Cloud
Databricks
Slack
And the leading AI models, chosen for each job
OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
DeepSeek
Cohere
Microsoft Phi and MAI
Grok
Moonshot Kimi
Qwen
FLUX
OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
DeepSeek
Cohere
Microsoft Phi and MAI
Grok
Moonshot Kimi
Qwen
FLUX
How managed intelligence works
Intelligence that works inside your business.
Work comes in, intelligence checks it against your approved data, then finishes it or sends it to a person to approve.
New requestReferral form
Intake agentBuilt for this workflow
Approved dataService rules
Your systemClient record created
A new request arrives. The agent built around that workflow reads it, checks your approved data and writes the result into your system.
Audit trail
New client referralReceived 09:12
Done: Referral read and matched to your service rulesUNCODE agent
Done: Checked against approved client data, no duplicate foundUNCODE agent
Done: Client record created in your care systemUNCODE agent
Done: Intake team notified, nothing left to retypeUNCODE agent
A staff member asks a question in the governed workspace. An approved model answers from approved documents, shows the source, and works under your policy.
Audit trail
Question from Alex, Team leaderAsked 09:20
APerson: Asked whether unused leave carries over to next yearAlex, Team leader
Done: Request checked against your usage policyGoverned workspace
Done: Answer drafted from Leave policy v3, clause 4.2Approved model
Done: Answer sent with the source linkedGoverned workspace
A supplier invoice for $4,180.00 is over the $2,000 limit. Guardrails check it and pause it for Sam, the finance manager. Sam approves, then it posts to the finance system and is logged.
Audit trail
Supplier invoice, $4,180.00Received 10:02
Done: Invoice read and matched to the purchase orderUNCODE agent
Paused: Over the $2,000 limit, paused for approvalGuardrails
SPerson: Approved the invoiceSam, Finance manager
Done: Bill posted to the finance systemUNCODE agent
Done: Decision and approver saved to the audit logUNCODE agent
Platforms we deliver on, recognised by the analysts
2026 Magic Quadrant™ for AI Governance Platforms.
The AI Governance Solutions Landscape.
Generative AI and Agentic Life-Cycle Tools and Technologies.
Frameworks we map controls to (UNCODE holds none of these certifications)
Analyst recognition relates to the enterprise intelligence platforms we work with, not to UNCODE. The frameworks are ones we map controls and evidence to; they are not certifications held by UNCODE, and UNCODE does not promise compliance. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Logos belong to their respective owners.
AI solutions for the sectors we work with
Water and infrastructureFrom field to register, no re-keying.
Field reports, asset records and compliance paperwork handled by agents, with your team approving what matters.
UNCODE is an Adelaide-based AI and intelligence solutions company (UNCODE Pty Ltd, uncode.com.au). It builds, governs, secures and runs AI agents for organisations across Australia, Sri Lanka and Asia Pacific, and enables their workforce to use AI with confidence.
What services does UNCODE offer?
Four services. Build: AI agents built around your real workflows. Govern: a governed AI workspace with approved models, role-based access and trained champions. Secure: red teaming, guardrails, human approval and audit trails. Operate: monitoring, model management and cost control after go-live. One accountable team delivers all four.
How does UNCODE keep a person in control of AI decisions?
UNCODE builds AI agents that pause before anything consequential, such as paying an invoice over a set limit, and wait for a named person to approve. Agents work from your approved data, and every step is saved to an audit trail your team can review.
Does UNCODE work with organisations outside Adelaide?
Yes. UNCODE is based in Adelaide, South Australia and delivers remotely to organisations across Australia, Sri Lanka and Asia Pacific.
Ready to put intelligence to work?
Tell us where intelligence could help, or where it is already running. We will show you where to start.