In the Australian financial services landscape, “Governance” is the bridge between a dangerous experiment and a scalable business asset. As regulators shift from observation to enforcement, Liberate Consulting ensures your firm meets the high bar of providing services “efficiently, honestly, and fairly”—a standard that now explicitly includes your automated tools and AI models.
The Liberate GRC Framework
Our framework is built on three non-negotiable pillars designed to meet the December 2026 transparency deadlines.
Risk Assessment: Beyond the Matrix
Traditional risk matrices often fail to capture the “black box” nature of AI. We implement a specialised AI Risk Assessment that evaluates both Impact vs. Likelihood and Ethical Impact.
Operational Resilience: We assess how “agentic AI” (AI that acts independently) could compound risks or exploit behavioural biases.
Algorithmic Bias: Regular audits to ensure that automated credit scoring or insurance underwriting does not lead to unfair or discriminatory client treatment.
Model Performance & Drift: Continuous monitoring to detect when an AI’s accuracy degrades over time, ensuring your “honest and fair” service remains consistent.
Third-Party Risk (CPS 230): Evaluating the AI supply chain to ensure your vendors meet the same rigorous standards as your firm.
The 2026 Regulatory Roadmap
ASIC and the OAIC have signaled that “variable maturity” in AI governance will no longer be tolerated.
January 2026: OAIC begins “privacy compliance sweeps” of publicly facing privacy policies.
June 2026: First mandatory requirements of the updated Government AI policy take effect (influencing industry best practices).
December 2026: Hard Deadline for Privacy Act ADM transparency. Privacy policies must disclose if ADM is used, what data is involved, and the types of decisions made.
Lead Strategist Note: Section 912A of the Corporations Act is not a “standard of perfection,” but it does require you to take reasonable steps to ensure your computerised systems do not malfunction or cause consumer harm. If you can’t explain your AI, you can’t govern it.