UNCODE, an intelligence solutions company

Managed intelligence, your way.

We build, integrate, govern, secure and operate enterprise intelligence for your organisation.

  • 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 Azure
  • Amazon Web Services
  • Microsoft Teams
  • Microsoft Power BI
  • Xero
  • Tableau
  • TechnologyOne
  • Snowflake
  • SharePoint
  • Microsoft Fabric
  • MYOB
  • Salesforce
  • Oracle
  • SAP
  • Atlassian
  • Boomi
  • Workday
  • AlayaCare
  • HubSpot
  • ServiceNow
  • Google Cloud
  • Employment Hero
  • 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

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.

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
  1. Done: Referral read and matched to your service rulesUNCODE agent
  2. Done: Checked against approved client data, no duplicate foundUNCODE agent
  3. Done: Client record created in your care systemUNCODE agent
  4. Done: Intake team notified, nothing left to retypeUNCODE agent

Explore Build

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
  1. Person: Asked whether unused leave carries over to next yearAlex, Team leader
  2. Done: Request checked against your usage policyGoverned workspace
  3. Done: Answer drafted from Leave policy v3, clause 4.2Approved model
  4. Done: Answer sent with the source linkedGoverned workspace

Explore Govern

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
  1. Done: Invoice read and matched to the purchase orderUNCODE agent
  2. Paused: Over the $2,000 limit, paused for approvalGuardrails
  3. Person: Approved the invoiceSam, Finance manager
  4. Done: Bill posted to the finance systemUNCODE agent
  5. Done: Decision and approver saved to the audit logUNCODE agent

Explore Secure

Monitoring shows the agent running and tracks cost against budget. A quality alert is raised and the model is swapped without a rebuild.

Audit trail

Intake agent, this monthChecked 08:00
  1. Done: Health check passed, agent running normallyMonitoring
  2. Done: Cost tracked: $412 of the $600 monthly budgetMonitoring
  3. Alert: Quality alert: answers below the review targetMonitoring
  4. Done: Model swapped for a better suited one, no rebuildUNCODE team
  5. Done: Quality back on target after the swapMonitoring

Explore Operate

Four AI consulting services, one connected approach

Build

Intelligent solutions built around measurable business outcomes.

UNCODE designs intelligent systems around the way your organisation works.

Govern

Governed intelligence.

Clear ownership, role-based access, policy controls and human oversight.

Secure

Your team approves what matters.

Identity-aware controls, least-privilege access and approval thresholds from day one.

Operate

Intelligence that keeps performing.

We monitor answer quality, manage models and track usage against budgets.

Our expertise

We deliver on enterprise intelligence platforms the major analysts recognise, and map every control to the frameworks your auditors use.

How we secure intelligence

Platforms we deliver on, recognised by the analysts

  • Gartner

    2026 Magic Quadrant™ for AI Governance Platforms.

  • Forrester

    The AI Governance Solutions Landscape.

  • IDC

    Generative AI and Agentic Life-Cycle Tools and Technologies.

Frameworks we map controls to (UNCODE holds none of these certifications)

  • NIST AI Risk Management Framework
  • ISO 27001
  • AICPA SOC reporting framework
  • EU AI Act

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

AI consulting questions, answered

What is UNCODE?

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.

Talk to an expertSee outcomes