Artificial intelligence is no longer an emerging concept for advice and financial services businesses. It is already embedded across compliance, advice delivery and operational workflows, often driven by adviser ambition for greater efficiency and speed. For compliance leaders, the challenge is no longer whether AI is being used, but how that use is governed in a way that protects the licensee without undermining productivity.
As AI tools become more accessible and widely adopted, many licensees are finding that governance frameworks have not kept pace. Existing policies were rarely designed to address AI‑driven decision support, data handling or automation at scale. This creates increasing tension between advisers seeking to leverage AI for efficiency and compliance teams responsible for managing risk across the entire licence.
At the next Brisbane Compliance Community session, Fraser Jack from The Cyber Collective will lead a practical discussion on AI governance in practice, focused on how compliance leaders can navigate this tension with confidence. The conversation moves beyond high‑level policy statements to explore how AI governance and acceptable use controls can be applied in a way that is both regulator‑ready and commercially pragmatic.
The session will examine how licensees can establish clear ownership and accountability for AI use, ensuring responsibility does not become fragmented across individual advisers or teams. It will also explore the importance of assessing and approving AI use cases before they are deployed, rather than responding after risks have already materialised, a challenge many compliance teams are currently facing.
A key theme of the discussion will be proportionality. Not all AI use carries the same level of risk, and governance frameworks must reflect this reality. By applying proportionate controls aligned to licence obligations, cybersecurity and privacy expectations, compliance leaders can support responsible innovation while maintaining effective oversight.
Central to the session is a principle that underpins effective AI governance: AI assists, people decide. Human judgment remains critical to advice, compliance, risk management, and governance, and governance frameworks must ensure that AI enhances decision‑making rather than replacing it.
This conversation is designed specifically for compliance leaders responsible for balancing innovation with license-wide risk management. It acknowledges the commercial pressures driving AI adoption while providing practical guidance on maintaining control, clarity, and defensibility in an increasingly automated environment.
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