Build the policies, decision rights, risk controls, and board oversight structures your organisation needs to deploy AI with confidence. Designed for Australian boards and executive teams operating under real regulatory and accountability obligations. Independent of any AI vendor or platform.
AI is being deployed faster than governance frameworks can keep pace. Organisations face increasing exposure — from regulatory obligation, reputational risk, and board accountability — but most lack the policies, accountability structures, and oversight mechanisms to manage that exposure responsibly.
Develop AI governance policies, standards, decision rights and accountability structures tailored to your organisation's risk profile, regulatory obligations and AI maturity. Built on the APIG governance framework — framework-based, not improvised.
Identify, assess and control AI risks across use cases, data, model, operational and reputational dimensions. AI risk register design, approved-tools list with usage conditions, and ongoing risk monitoring protocols.
Navigate the Australian Privacy Act, emerging AI regulation, APRA guidance on model risk, and sector-specific AI compliance requirements. Board-ready AI assurance reporting template included.
For AI governance, APIG helps ensure that policies and controls are connected to real workflows and adoption patterns, not sitting separately as documentation that does not reflect how AI is actually used.
AI governance consulting covers AI policy design, decision rights and accountability structures, risk registers and controls, AI inventory management, and board reporting. It ensures organisations can deploy AI with confidence rather than expose themselves to unmanaged risk.
A core governance build typically takes 6–8 weeks. This covers the AI policy framework, accountability structures, risk register, approved-use controls, and a board-ready assurance reporting template. Ongoing governance support is available through our Managed AI Governance Office service.
Strategen AI is vendor-independent. We can recommend governance controls that constrain or reject specific tools — something vendor-affiliated advisers cannot do. Our governance frameworks are built on the APIG model, which connects policy to real workflow adoption patterns.
Governance frameworks built once and never maintained decay within months as adoption accelerates. We offer a Managed AI Governance Office service for ongoing oversight — use-case intake reviews, policy updates, risk register maintenance, and quarterly board reporting — on a recurring basis.