Responding to APRA's AI Risk Expectations: Assurance for the Agentic Era
APRA has not introduced a new AI-specific standard, but its April 2026 Letter to Industry sets clearer minimum expectations for how institutions govern AI, and signals stronger supervisory attention where gaps aren’t addressed.
Most institutions can describe their AI governance approach in a meeting. Fewer can produce a current AI inventory, a mapped dependency chain, evidence that risk monitoring actually happened, or a clear line from a model decision to the human accountable for it.
In this session, we unpack the five questions an executive, risk, or audit committee member should be able to answer today — and show, through a single connected walkthrough, what evidence-readiness and risk-management uplift look like in practice with Alex Solutions.
Download a free Evidence Checklist to prepare for what a supervisor or auditor will ask for here
A practical lens for evidence readiness
the five questions APRA-relevant executives need to be able to answer about their AI estate, before an auditor or regulator asks.
A realistic way to start
one process, mapped end-to-end, rather than a program that stalls trying to cover the whole estate at once.
What continuous risk-management uplift actually looks like
monitoring and evidence generation built into daily operation, not a once-a-year attestation exercise