SAMPLE-01 · Autonomous personal-loan approval (Australia)
Generated 2026-10-31 14:51 UTC · Owner: Priya Chen · Sponsor: Head of Retail Banking
An Australian retail bank wants to deploy an autonomous AI agent that approves personal loans up to AUD 50,000 using customer transaction history, credit bureau data and open banking data. No human review is planned for approvals under AUD 30,000. The bank intends to use a third-party foundation model via API. Decisions delivered to customers in-app within 30 seconds.
Initiative SAMPLE-01 (Autonomous personal-loan approval) is assessed at ARA overall-residual High, CALIBRE band Critical (GII 81.25/100). The proposed level of autonomy on financially consequential decisions crosses the enterprise risk appetite and triggers material APRA CPS 230 and Privacy Act obligations that are not yet in scope of the proposal.
The Risk Analyst identified 2 High and 0 Critical risks. CALIBRE prescribes 10 governance controls at Critical band. Secure-RAG evidence coverage against cited regulations is 78%.
This should not be automatically approved. Escalate to the AI Risk Committee for judgement on whether reduced autonomy (Option B: AI-assisted with human approval) delivers the business objective at acceptable residual risk.
None yet attached.
None outstanding.
| ID | Action | Owner role | Priority | Status |
|---|---|---|---|---|
| SAMPLE-01-A-01 | Prepare Risk Committee briefing pack from this Decision Pack | CRO Office | Critical | Open |
| SAMPLE-01-A-02 | Implement Human approval gate for consequential decisions | Head of Retail | High | Open |
| SAMPLE-01-A-03 | Complete Independent model validation | Head of Risk | High | Open |
| SAMPLE-01-A-04 | Complete APRA CPS 230 vendor registration | CRO | High | Open |
| SAMPLE-01-A-05 | Design specific control for R-AI-01: Autonomous consequential decision | AI Product Owner | High | Open |
| SAMPLE-01-A-06 | Design specific control for R-CY-01: Prompt injection via customer-supplied data | CISO | High | Open |
| SAMPLE-01-A-07 | Index authoritative source for ASIC RG 271 into Secure-RAG | Compliance | Medium | Open |
Audit trail: full machine-readable finding history, model IDs, timestamps, and evidence citations are stored in the Governance Fabric under initiative SAMPLE-01. Regenerate this pack at any time from the initiative page.