AI you can defend — to your board, your customers, and your regulator.
Governed delivery is not an add-on at Precision Data Partners — it is our standard. Every system we design, build, and operate is mapped to the frameworks that Australian organisations are now being asked to answer to.
The NSW AI Assessment Framework (AIAF)
The NSW AI Assessment Framework is a mandatory, risk-based assessment applied to all use of AI by the NSW Government, administered under Digital NSW and updated to cover generative AI. It sits alongside the NSW AI Ethics Principles — trust, transparency, customer benefit, fairness, privacy, and accountability.
If your organisation sells to, partners with, or operates near NSW Government, AIAF literacy is fast becoming part of procurement due diligence. We build to it as a matter of course:
- Risk assessment at design stage, tiered to system impact — not retrofitted before go-live
- Documented human oversight points in every agentic workflow
- Monitoring, evaluation, and audit trails as first-class deliverables
- Data-governance mapping for every dataset a model or agent touches
The Voluntary AI Safety Standard — ten guardrails, mapped to practice
The Australian Government's Voluntary AI Safety Standard defines ten guardrails for the safe and responsible use of AI. Here is how each one shows up in our delivery practice:
| Guardrail | Our practice |
|---|---|
| G1 · Accountability | Every engagement names an accountable owner on both sides, with an AI use policy documented before any system ships. |
| G2 · Risk management | We run a structured risk assessment at design stage and revisit it at every major release, tiered to the system's potential impact. |
| G3 · Data governance | Data provenance, quality controls, and access boundaries are documented for every dataset a model or agent touches. |
| G4 · Testing & monitoring | Systems ship with evaluation suites and production monitoring — model outputs are tested before deployment and observed after it. |
| G5 · Human control | Agentic workflows are designed with explicit human oversight points; autonomous action is bounded by defined guardrails. |
| G6 · User transparency | End users are informed when they are interacting with AI or when AI materially shapes a decision that affects them. |
| G7 · Contestability | We design escalation paths so people affected by an AI-informed outcome can challenge it and reach a human. |
| G8 · Supply-chain transparency | We document the models, providers, and data services in every build so our clients can answer their own downstream obligations. |
| G9 · Records | Decision logs, audit trails, and system documentation are maintained so the system's behaviour can be reconstructed and reviewed. |
| G10 · Stakeholder engagement | We identify who is affected by each system and build their needs into the assessment, not just the requirements of the buyer. |
ISO/IEC 42001 alignment
ISO/IEC 42001 — adopted in Australia as AS ISO/IEC 42001:2023 — is the international standard for AI management systems, and it is increasingly the credential enterprise procurement teams and government agencies ask about. The Commonwealth's Voluntary AI Safety Standard explicitly aligns with it.
Our delivery practices are aligned to AS ISO/IEC 42001:2023. Formal certification is on our roadmap. In the meantime, everything on this page — risk assessment, human oversight, monitoring, records — is how that alignment shows up in the systems we ship.
Start with a governance-grade look at your AI readiness
A free 45-minute session: we map your current data and AI footprint against the AIAF and the ten guardrails, and identify your three highest-impact next steps.
Book a Free AI Readiness & Governance Audit