One AI operating model. Every domain.
The UNCODE AI operating model: one accountable team runs infrastructure, data, automation and AI together.
Assess, Design, Build, Operate: the delivery path.
- AssessBaseline systems, data and ways of working. Find the highest-leverage start and agree a maturity target.
- DesignTarget state across every domain, sequenced by dependency and risk, with governance defined up front.
- BuildStaged delivery, validated against outcomes, with knowledge transferred as capability lands.
- OperateRun under our own service levels, report on a fixed cadence and keep improving.
Four guiding principles
How we think about operating capability.
Integrated ownership
One embedded team manages infrastructure, data, automation and AI in a coordinated framework, not as separate initiatives.
Maturity based
Capability is built in stages, so tools never outpace what the organisation can absorb.
Enterprise architecture
Enterprise discipline in design, without needing an enterprise-scale internal team.
Outcome accountability
Success is measured by organisational outcomes, not technical activity: from uptime to performance.
Who does what: UNCODE and your team.
UNCODE
- Architecture: does the work
- Data: shared
- Automation: does the work
- AI: shared
You
- Architecture: signs off
- Data: signs off
- Automation: signs off
- AI: signs off
Governance cadence
A fixed rhythm, not ad-hoc check-ins.
Every engagement runs on the same rhythm, so both teams know what happens next and when.
One accountable team runs infrastructure, data, automation and AI together.
The UNCODE AI operating model is how UNCODE, an Adelaide AI consultancy, delivers infrastructure, data, automation and AI as one managed service for organisations without an enterprise-scale internal team. It runs in four stages on a fixed governance rhythm, with the AI roadmap reviewed every quarter.
AI fits the same model
Readiness gate
Each AI use case passes checks first.
- Data ready
- Owner named
- Controls set
- Users trained
- Metric agreed
- Same governanceAI follows the same rhythm and owners.
- People enabledPilot with users and train champions.
- Improve on evidenceMeasure, refine and expand.
Questions about the operating model.
What is the UNCODE operating model?
One operating model for infrastructure, data, automation and AI, with four guiding principles, one delivery path and a fixed governance cadence.
How is the work governed?
On a fixed rhythm: daily monitoring, a weekly review, a monthly steering report and a quarterly roadmap and maturity review.
How does AI work fit in?
AI work follows the same model, with its own readiness checks before each use case goes to pilot.
Who signs off the work?
You do. UNCODE does the work on architecture and automation, data and AI are shared, and you sign off in every domain.
Is AI the right fit for our organisation?
Not for every task. In the Assess stage we baseline your systems, data and ways of working and find the highest-leverage start. Each AI use case then passes a readiness gate: data ready, owner named, controls set, users trained and a metric agreed.
How do we know an AI pilot is working?
We agree a metric with you before the work starts and measure results against the baseline set in the Assess stage. Success is judged on organisational outcomes, not technical activity.
See it applied to your organisation.
We will map your current state and the first step, wherever you are.