Compliant AI Agents for Australian Financial Services
Financial services firms in Australia face overlapping regulatory obligations from ASIC, APRA, and AUSTRAC — all of which apply to AI systems the same way they apply to human processes. Ongkrong builds AI agents for financial services that satisfy these obligations from architecture through deployment, with tamper-evident audit trails, explainable outputs, and segregation-of-duties controls built into the foundation.
Last Updated: March 2026
What Financial Regulations Affect AI in Australia?
Financial services AI deployments must satisfy requirements across multiple regulators:
- ASIC's Technology-Neutral Approach — ASIC has consistently stated that its obligations are "technology neutral" — meaning AI systems are subject to the same regulatory requirements as human decision-makers. If an AI agent provides financial product advice, it must comply with the same licensing, disclosure, and best interests obligations. ASIC's Report 798 (2023) specifically addresses the use of AI and machine learning in financial services, emphasising model governance, transparency, and accountability.
- APRA CPS 234 (Information Security) — APRA-regulated entities must maintain information security capabilities commensurate with the size and sensitivity of their information assets. AI systems that process client financial data, transaction records, or risk assessments fall squarely within CPS 234's scope. This includes requirements for access controls, encryption, incident response, and third-party vendor assessments.
- AUSTRAC AML/CTF Compliance — Financial services firms have obligations under the Anti-Money Laundering and Counter-Terrorism Financing Act 2006 to verify customer identity, monitor transactions, and report suspicious activity. AI agents involved in client onboarding, transaction monitoring, or reporting must maintain complete, auditable records and cannot make autonomous decisions that bypass mandated human review in high-risk scenarios.
- Privacy Act 1988 & Credit Reporting — Financial services handle sensitive personal information including credit information, financial records, and tax file numbers. The Privacy Act's credit reporting provisions (Part IIIA) impose additional requirements on how AI systems can access, use, and disclose credit-related information.
What Can Compliant AI Agents Do for Financial Services?
Compliance Tracking & Monitoring
AI-powered dashboards that track regulatory obligations across ASIC, APRA, and AUSTRAC frameworks. Automated deadline monitoring, evidence collection, and audit readiness scoring — reducing compliance overhead by up to 70% while improving audit scores. One Ongkrong client improved their audit score from 71% to 94%.
Automated Financial Reporting
AI agents that reconcile financial data across multiple sources, flag anomalies, and generate regulatory reports. Cross-references income statements, balance sheets, and cash flow data with tamper-evident logging and source-document traceability. One client detected $1.85M in anomalies across 60+ agencies in the first assessment cycle.
Client Onboarding & KYC/AML
AI-assisted client onboarding that collects and verifies identity documents, runs KYC checks, and monitors for AML/CTF red flags — with complete audit trails for every step. Human review is triggered automatically for high-risk scenarios as required by AUSTRAC, while routine verifications are processed in seconds rather than days.
Internal Knowledge & Policy RAG
RAG-powered AI agents that let compliance teams, advisers, and analysts query internal policies, regulatory guidance, and procedure manuals in natural language. Reduces time spent searching for compliance answers from hours to seconds — with source attribution so every answer is traceable to the original document.
How Does Ongkrong Build AI for Financial Services?
- ✓Segregation of duties — Role-based access controls ensure operators, administrators, and auditors have distinct, non-overlapping permissions
- ✓Tamper-evident audit logging — Every AI interaction, data access, and configuration change is logged in tamper-evident format with full source traceability
- ✓Explainable AI outputs — AI-generated conclusions, recommendations, and flags include source attribution and reasoning chains so compliance officers can verify the basis
- ✓Human-in-the-loop for high-risk decisions — AI handles routine processing while automatically escalating high-risk scenarios for mandatory human review
- ✓CPS 234 aligned security — Encryption at rest and in transit, access management, vendor security assessments, and incident response procedures
- ✓Free post-build compliance review — Every engagement includes a review mapping the system against ASIC, APRA, AUSTRAC, and Privacy Act requirements
Related Case Studies
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Ready to Build Compliant AI for Your Firm?
Book a free 30-minute compliance review. We'll assess your regulatory landscape and discuss how AI can streamline your operations while satisfying ASIC, APRA, and AUSTRAC requirements.