Resources¶
Everything you need to plan, assess, govern, and deliver AI projects in the Australian Public Service.
What do you need?
Templates¶
Ready-to-use documents for your AI projects. Copy, customise, and use.
Planning & Stakeholders¶
Start here when initiating a new AI project. These templates help you identify who needs to be involved and how.
Stakeholder Register
Identify, categorise, and track all stakeholders in your AI project. Includes influence/interest mapping.
Use this template → Engagement Plan
Plan communications and engagement activities across all project phases.
Use this template → RACI Matrix
Define who is Responsible, Accountable, Consulted, and Informed for each activity.
Use this template → Assessments¶
Evaluate readiness, risks, and quality before and during your AI project.
AI Readiness Assessment
Evaluate organisational capability across strategy, data, technical, people, and process dimensions.
Use this template → Security Assessment
Identify AI-specific security risks including data poisoning, model attacks, and infrastructure threats.
Use this template → Risk Register
Track and manage AI project risks with pre-populated common risk categories.
Use this template → Data Quality Assessment
Evaluate training data across completeness, accuracy, consistency, and representativeness.
Use this template → Use Cases & Business Cases¶
Document opportunities and build investment cases.
Use Case Identification
Systematically evaluate whether AI is appropriate for your problem. Includes suitability checklist.
Use this template → Business Case
Comprehensive investment case covering benefits, costs, risks, and implementation approach.
Use this template → Governance & Operations¶
Establish governance structures and prepare for operations.
Data Governance
Framework for data ownership, quality standards, and lifecycle management for AI projects.
Use this template → Incident Response Plan
Procedures for detecting, containing, and recovering from AI system incidents.
Use this template → Persona Planning
Define user personas to ensure AI solutions meet diverse needs.
Use this template → Guidance¶
Practical how-to guides, FAQs, and fact sheets to help you navigate specific challenges.
How-To Guides¶
| Guide | What You'll Learn |
|---|---|
| Bias Testing | Identify, measure, and mitigate systematic unfairness in AI systems |
| Explainability | Make AI decisions interpretable for different audiences |
| Model Cards | Create standardised documentation for ML models |
| Monitoring | Track system health, model performance, and business impact |
| Guide | What You'll Learn |
|---|---|
| Ethical AI | Apply Australia's AI Ethics Principles in practice |
| Vendor Evaluation | Assess AI vendors and solutions for government procurement |
FAQs & Fact Sheets¶
| Resource | Description |
|---|---|
| Privacy Impact Assessment FAQ | Common PIA questions answered with government context |
| Synthetic Data Fact Sheet | When, why, and how to use synthetic data for AI projects |
Playbooks¶
End-to-end frameworks for major workstreams. Comprehensive guides that tie together templates and guidance.
AI Project Delivery
Full project lifecycle from discovery through deployment and monitoring. Covers all phases with checklists and decision points.
Open playbook → Governance Framework
Establish AI governance structures, policies, and oversight mechanisms for your organisation.
Open playbook → MLOps
Operationalise machine learning with CI/CD, monitoring, retraining, and production best practices.
Open playbook → Change Management
Manage organisational change for AI adoption. Build buy-in, train staff, and sustain adoption.
Open playbook → Quick Reference¶
| I need to... | Start here |
|---|---|
| Evaluate if AI is right for my problem | Use Case Identification |
| Get funding approval for AI | Business Case Template |
| Assess our team's AI capability | AI Readiness Assessment |
| Test my model for bias | Bias Testing Guide |
| Document a model properly | Model Cards Guide |
| Set up monitoring | Monitoring Guide |
| Prepare for an incident | Incident Response Plan |
| Evaluate vendors | Vendor Evaluation Guide |
| Deliver an AI project end-to-end | Delivery Playbook |