Sign inGovernment & Public Sector
AI strategy built for public service context
Government agencies face a different AI challenge to the private sector. The pressure to adopt is real, but the constraints are unique — industrial agreements, ministerial accountability, legislative mandates, and community expectations that rightly hold public institutions to a higher standard. myAIstrategy understands this context from the ground up.
Entity-Aware Analysis
We speak your language
When you scan a government entity, the entire analysis pipeline adapts. Every dimension, every framework, every recommendation uses language and concepts that make sense in a public service context.
Citizens, not customers
Analysis framed around service delivery outcomes and public value, not commercial transactions.
Appropriations, not revenue
Financial analysis uses budget language — ASL, administered funds, departmental expenses, efficiency dividends.
Peer agencies, not competitors
Benchmarking against comparable departments and service delivery agencies, not commercial rivals.
Public trust, not brand equity
AI adoption assessed through the lens of community confidence, ministerial accountability, and political sustainability.
Policy Framework
Grounded in current government AI policy
Strategy recommendations for government entities are informed by the current Australian Government AI policy landscape. Our advisors reference these frameworks when shaping governance, risk, and adoption recommendations.
myAIstrategy is a private commercial platform and is not accredited or certified against any Australian Government AI standard. The references below describe the policy landscape our methodology draws on; they do not represent approval or endorsement by any agency. Government entities should assess the platform against their own procurement, IRAP, and assurance requirements before use.
AI and the Trustworthiness of Public Service Delivery
2023
Department of Prime Minister and Cabinet
Establishes that public trust is the critical enabler for government AI adoption. High-stakes decisions require proportionally higher transparency and human oversight.
National Framework for Assurance of AI in Government
2024
Department of Finance
Nationally agreed governance cornerstones covering the full AI lifecycle. Mandates compliance with legality, fairness, rationality and transparency for AI-influenced decisions.
Guidance for AI Adoption
2024
Department of Industry, Science and Resources
Six essential practices for responsible AI governance. Two-tier maturity approach. Requires formal governance, internal AI registers, and impact assessments before deployment.
Australia's AI Ethics Principles
2025
Department of Industry, Science and Resources
Eight mandatory principles: wellbeing, human-centred values, fairness, privacy, reliability, transparency, contestability, and accountability. All government AI must comply.
Policy for Responsible Use of AI in Government
2025
Digital Transformation Agency
Mandatory for all non-corporate Commonwealth entities. Requires accountable officials, 12-section impact assessments, AI transparency statements, and foundational staff training.
How It Works
How the analysis adapts for government
01
Entity detection
Government domains (.gov.au) and entity types are identified automatically during the initial scan. This triggers the full government analysis pipeline.
02
Scoring calibration
Dimensions adapt to public sector context. "AI-Native Displacement Risk" becomes "AI-Enabled Service Disruption". "Switching Costs" becomes "Mandate and Structural Protection". Scoring benchmarks include government agencies.
03
Framework adaptation
PEST analysis emphasises regulatory and political dimensions. Risk radar covers Senate Estimates exposure, audit risk, and cross-agency implications. Value assessed through social, political, and economic lenses.
04
Policy-grounded recommendations
Advisors draw on current Australian Government AI policy frameworks. Recommendations are framed within governance requirements, ethics principles, and responsible use mandates.
05
Ecosystem awareness
Many government schemes operate through delivery ecosystems of private providers and intermediaries. The analysis understands these are partners operating within your regulatory framework, not competitors.
Public Service Value
Private sector AI strategy optimises for shareholder returns. Government AI strategy must balance three dimensions: social value (citizen outcomes and equity of access), political value (public trust, ministerial confidence, and policy alignment), and economic value (affordability, efficiency, and scheme sustainability). Our analysis assesses opportunities and risks across all three.