AI on the board agenda. CPS 234 on the audit calendar. Same quarter.
Innovation pressure from the front office, conservative pressure from risk and compliance. Neither side will accept the other's default answer.
For Australian financial services
AI under APRA's gaze.
For Australian banks, insurers, super funds, and regulated fintechs. AI adoption that respects CPS 234, the Privacy Act, and the regulator's natural conservatism. Modernisation that survives an audit.
Public LLMs are a non-starter. Doing nothing makes the regulator unhappy too.
Information security obligations make casual AI use risky. APRA has been explicit that 'we just won't' is not a defensible long-term posture either.
Sovereign AI on infrastructure you control. Phased plans your audit team will sign off.
Air-gapped models, MCP wrappers over the existing estate, agentic workflows with audit logs that hold up under inspection.
How the two pillars apply
In financial services specifically.
AI adoption with audit in mind
MCP servers over policy administration, claims, ledger and CRM systems. Agentic workflows that act through governed interfaces with audit trails. Models running on infrastructure you control, not on a third-party shared tenant.
Open AI adoptionModernisation that survives audit
Long-running .NET, Dynamics, AS400 and mainframe estates run most of Australian financial services. We modernise in slices the auditor can review and the regulator can defend. Bridges, not bonfires.
Open modernisationEngagements built for an audit-grade environment.
Sovereign infrastructure, named architects, deliverables your audit team will accept. The shape of the engagement financial services expects.