A free executive report on what your board needs to answer before the next ASIC letter.
The AI Governance Reality Check
Can you confidently answer questions like:
- Can you produce a complete inventory of AI systems currently in use?
- Can your team explain why an AI-influenced decision was made to a customer or regulator?
- Are third-party AI tools independently validated and monitored?
- Could your board demonstrate reasonable oversight of AI systems today?
If any of these are unclear, this report will be immediately relevant.
If you are using AI to “drive efficiency” but haven’t mapped those algorithms to your core license obligations, you’re innovating and creating unfunded liabilities.
ASIC has issued its warning: REP 798 Beware the Gap. They found significant governance failures across the sector, ranging from “Shadow AI” being used by staff to Boards that have no idea how their models actually make decisions.
As a Director or Executive, the law is technology-neutral. You remain 100% accountable for every algorithmic output, whether you understand the code or not. You might outsource the model, but you can never outsource the accountability.
The Blueprint for Defensible AI Governance
This white paper is an assessment of the nine critical governance gaps currently sitting in AFSL firms like yours.
Inside this Whitepaper, you will discover:
- The 9 specific governance gaps regulators are increasingly identifying in AI-enabled firms
- Where boards are most exposed – even with existing compliance structures in place
- Why traditional risk frameworks are missing AI-specific conduct risks
- How AI is quietly impacting obligations like:
- efficiently, honestly and fairly
- Design & Distribution Obligations
- misleading or deceptive conduct
- The difference between documented governance and defensible oversight
- A practical framework to assess your firm’s actual AI exposure
Move Faster, Safely
This is not about slowing AI adoption. It is about ensuring your firm can move faster with confidence, utilise AI without creating hidden risk, and demonstrate oversight when it matters.
This paper is based on analysis of:
- ASIC reporting and regulatory signals
- Industry governance data and best practice
- A structured AI governance diagnostic framework used in financial services environments
Enter your details to access the full report:
The Nine AI Governance Gaps
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→ Designed for executive review