AI Risk Assessment for Australian Mid-Market Businesses
Your audit committee, insurer, or customer just asked: what is your AI risk register? Most Australian mid-market businesses do not have one. We deliver a productized AI risk assessment: 15 to 25 catalogued risks specific to your business, with likelihood, impact, mitigation, and owner. Audit-ready in 14 days.
Used by Australian mid-market businesses, audit committees, chief risk officers, and regulated industry leaders to answer the AI risk register question with substance, not hand-waving.
Realistic ROI
Why an AI Risk Register Now Matters
AI risks are real, specific, and often invisible until they manifest. Four shifts in 2025 to 2026 made the risk register a board-level artifact.
Shadow AI is creating invisible risks
In a typical 50-person AU business, 60 to 80 percent of staff use ChatGPT or Claude weekly. Sensitive data, customer information, and IP routinely flow into consumer tier tools. Without a risk register, these risks are invisible to leadership.
Audit and insurance ask specifically about AI risks
External audit firms now ask: "show me the AI risk register". Cyber insurance renewals ask: "what AI controls are in place?". Without a register, the answer is hand-waving. With one, the answer is a structured document.
Regulators are watching specific risk areas
OAIC on data leakage, AHPRA on clinical decision support, ASIC on automated advice, APRA on operational resilience. Each has highlighted specific AI risk categories. Your register should address the categories that apply to your regulatory exposure.
Customers procure on AI risk posture
Enterprise customers (Big 4 banks, government, large mutuals) embed AI risk questions in procurement questionnaires. Without documented risk posture, contracts pause for 30 to 90 days while the vendor catches up.
The 6 AI Risk Categories We Catalogue
Every AU business has risk in each of these categories. The specifics differ; the categories do not.
Data leakage and confidentiality
Sensitive data entering consumer AI tools. Customer PII in training data. Confidential strategy in shared chat history.
IP and copyright
AI-generated content with disputed IP. Training data scraping liability. Copyright in customer deliverables.
Hallucination and factual error
Customer-facing content with hallucinated facts. Compliance documents with incorrect citations. Financial figures fabricated.
Bias and discrimination
Automated hiring screens. Customer eligibility decisions. Pricing or product recommendations. Each a potential discrimination exposure.
Regulatory and legal breach
APP breach via cross-border AI processing. Sector-specific regulatory breach. Spam Act compliance for AI-generated outreach.
Operational and vendor
AI vendor outage. Pricing model changes. Model deprecation. Security breach at AI provider. Concentration risk.
Six AU AI Risk Assessment Scenarios
| Task | Traditional | With Yes AI | Notes |
|---|---|---|---|
| AU SaaS preparing for SOC 2 Type II audit | AI risks scattered across notes | Structured risk register aligned with SOC 2 controls | Auditor accepts the register as evidence of risk management. Audit time on AI questions drops 60 percent. |
| AU mid-market business renewing cyber insurance | AI questions answered with "we are working on it" | Documented register with mitigations and owners | Premium does not get loaded for AI uncertainty. Underwriter accepts the documented posture as adequate. |
| AU SaaS responding to enterprise customer questionnaire | Stuck on AI section for 30 to 90 days | Pre-built risk responses for AI section | AI questionnaire answered in 2 days, not 90. Contract closes on time. |
| AU healthcare business with clinical AI exposure | Generic risk template misses clinical risks | Sector-tuned register addressing clinical decision support | AHPRA-aligned risk treatment. Clinical advisory board comfortable with the documented posture. |
| AU mining business with operational AI tooling | Risk register stale, AI usage exploded | Current register reflecting actual AI usage | Risk committee has accurate picture. Operational leaders own specific risks; mitigations tracked. |
| AU board asking CEO for AI risk briefing | Slides without specifics | Board paper grounded in real risk register with specific mitigations | Board confidence in CEO's AI risk posture lifts. Audit committee chair comfortable. |
Six Disciplines for AU AI Risk Programs
Specific risks, not generic categories
A risk register saying "data leakage" is not useful. A risk register saying "staff pasting customer PII into ChatGPT free tier" with specific mitigation is useful. We force specificity in every register entry.
Owned by named humans, not "the team"
Every risk gets a named owner with seniority appropriate to the risk. CRO owns regulatory breach. CTO owns vendor outage. Head of People owns shadow AI. Generic ownership = no ownership.
Refresh quarterly with named accountability
Risk register frozen for 12 months reflects 12 month old reality. We embed a quarterly review cadence with named owners. Each owner attests their risks are current.
Tie mitigations to operational controls
A risk register that does not change behaviour is theatre. We tie every mitigation to a specific operational control: an SLA, an approval workflow, a tooling configuration, a training module.
Aligned with frameworks that matter to your stakeholders
NIST AI RMF for US enterprise customers. ISO 42001 for global enterprise customers. AU VAISS for AU regulators. EU AI Act for EU customers. We align with the right framework for your stakeholders, not generic best practice.
Reviewed by the right committee
For mid-market AU businesses, the right reviewer is typically the audit and risk committee. For SaaS pre-IPO, it is the audit committee or board. For listed companies, it is the risk committee or full board. We help you stage the right governance route.
How Yes AI Builds Your Risk Register
Discovery and AI usage audit
Half-day session: who uses AI, which tools, on what data, with what controls. Output is the current state of AI risk in your business.
Sector and regulatory tuning
We tune the register to your sector: healthcare, financial services, education, government, manufacturing. AU-specific regulatory exposure mapped per risk.
Risk register drafting and review
Draft 15 to 25 specific risks with likelihood, impact, mitigation, owner. Leadership review. Final approved register ready for audit committee.
Quarterly refresh cadence
Optional quarterly refresh service. Named owners attest current state. New risks added; resolved risks closed. Register stays alive, not stale.
Our 14-Day Risk Assessment
Most AU mid-market clients have a board-ready risk register inside 14 to 21 days.
Days 1 to 3: Discovery workshop
Half-day workshop. Map current AI usage across functions. Capture sector context and regulatory exposure.
Days 4 to 7: Risk drafting
Draft 15 to 25 specific risks per the 6 categories. Likelihood, impact, mitigation, owner per risk.
Days 7 to 10: Owner consultation and refinement
Brief each named owner. Refine mitigations to operational controls. Lock owner accountability.
Days 10 to 14: Final review and committee staging
Final review with CRO or CEO. Stage for the audit and risk committee. Optional: present to committee.
Day 30+: Quarterly refresh begins
Optional ongoing refresh. Each quarter, named owners attest. New risks added; closed risks retired.
FAQ
Book an AI Risk Briefing
60 minute briefing with CRO, CEO, or audit committee chair. We walk through the productized engagement, sample registers from your sector, and the audit-committee path.
All discussions held in confidence. Australian-based consultants.