Audit, Risk & AI Governance
The director boards appoint to get confident about AI, data and risk — from a practitioner who operationalised AI across an entire audit function years before it was the norm.

I've operationalised AI across an entire assurance function — so a board gets oversight grounded in real experience, not slideware.
More than two decades reporting to Board Risk, Compliance and Audit Committees from the inside — fluent at the board–management interface from day one, and chair-ready for an ARC.
Two decades inside APRA-supervised financial services — fluent in what regulators and audit committees expect, with direct credibility for government and regulated boards.
Current NED at the Institute of Internal Auditors Australia, chairing its Investment Committee. Proof, not aspiration.
Most boards are overseeing AI and data risk for the first time. I've already done it from the inside — rebuilding internal audit around data science and AI well before the current inflection point, with the majority of findings driven by full-population analysis rather than sampling.
The value to a board is direct: I know what mature AI and data governance looks like in practice, where the assurance gaps sit, and the questions that separate confident oversight from box-ticking.
How I think about it →
“You must unlearn to learn. The rulebook we have no longer cuts it.”
A write-up of Evelyn's ACIIA keynote panel in Kuala Lumpur — on the accelerating technology-adoption curve and why audit, risk and governance professionals must “unlearn to learn” to stay ahead of AI-era risk.

A profile of Evelyn's people-first leadership — building a data- and AI-literate audit function, championing inclusion, and a simple operating creed: “we do the right thing even when no one's looking.”
I'm open to board and selected advisory enquiries. The best way to reach me is by email or on LinkedIn.