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SUMMITGUARD
AI risk assessment

AI Risk Assessment for Australian Organisations

Identify AI tools, classify use-case risk, review data exposure, and create a practical AI risk register for Australian businesses.

Short answer

An AI risk assessment maps where AI is used, what data it touches, what decisions it influences, and which controls are needed to make the risk visible and manageable.

Implementation focus

Practical controls before more AI rollout.

Start with an inventory

You cannot assess AI risk without knowing where AI is already active. The inventory includes approved tools, staff use of public AI, AI features inside SaaS platforms, and custom workflows.

Classify each use case

Each use case is assessed by data sensitivity, decision impact, reliance on the output, user access, vendor exposure, and the strength of human review.

  • Low-risk productivity support
  • Moderate-risk internal analysis
  • High-risk customer, employee, legal, or financial decision support
  • Use cases needing executive or legal review

Review controls and evidence

A useful assessment records not only the risk, but also the control evidence: policy, approvals, logging, review cycles, vendor records, and ownership.

Turn findings into action

The output is a prioritised risk register and roadmap. The aim is to help leadership decide what to fix first, what to monitor, and what can safely continue.

Outputs

What you walk away with.

  • AI inventory
  • Use-case risk ratings
  • Data exposure findings
  • Risk register
  • Control gap summary
  • Prioritised remediation plan
Frameworks

Mapped to recognised guidance.

  • AI.gov.au essential AI practices
  • NIST AI RMF Govern, Map, Measure, Manage functions
  • ISO/IEC 42001 risk and impact assessment concepts
Questions

Common questions.

What risks are included?

Common categories include privacy, security, legal, operational, bias, reliability, reputation, vendor dependency, data leakage, and weak human oversight.

Do you need access to every system?

Not always. The first pass can use interviews, configuration evidence, policy review, and sample system records before deeper technical review is scoped.

How long does an AI risk assessment take?

Most smaller engagements can be scoped over a few weeks, depending on the number of tools, teams, and use cases.

Can the risk register be reused internally?

Yes. It is designed to become a living record for leadership, risk, security, and operational owners.

Ready to make AI use visible and controlled?

Start with a short scoping conversation. We will confirm whether a formal assessment is the right next step.

Contact Summit Guard