AI policies that satisfy the Privacy Act, OAIC, and your CISO.

72% of Australian organisations lack formal AI usage policies even though 68% have already deployed AI. We build the eight-policy suite that closes that gap, calibrated to your industry, your risk appetite, and the Privacy Act amendments coming on 10 December 2026.

View the policy suite

Built for

General counsel ยท Chief privacy officers ยท Heads of compliance ยท HR and IT leadership ยท Risk committees
Aligned to: Privacy Act 1988 / OAIC guidance (Oct 2024) / Australia's 8 AI Ethics Principles / Voluntary AI Safety Standard / APRA CPS 230 / ISO/IEC 42001:2023

The Australian policy gap, in numbers.

No policy

72%

of Australian organisations lack formal AI usage policies.

Already deployed

68%

have implemented AI technology without policy guardrails.

Literacy

38%

of executives are actively helping their workforce become AI-literate.

Market size

A$20.34B

projected Australian AI market size by 2030.

The challenge facing Australian organisations.

Most businesses are operating AI systems without formal policies or clear guidelines. The exposure compounds across employment law, privacy obligations, intellectual property, and regulatory transparency requirements.

  1. 01

    Unclear employee guidelines for AI use.

    Staff use ChatGPT, Copilot, and Claude without rules. Some enter confidential client data. Some share proprietary business information. Only 28% of organisations have a formal AI policy in place, leaving the majority exposed to data leakage, IP loss, and regulatory action.

  2. 02
    Dec 2026

    Privacy Act amendments and OAIC enforcement.

    Automated decision-making transparency takes effect 10 December 2026. The statutory tort for serious privacy invasions commenced 10 June 2025. The OAIC now has tiered civil penalties and direct infringement notices. AI policies need to identify automated decisions, establish disclosure processes, and create the documentation trail before the deadline arrives.

  3. 03

    Shadow AI proliferates across teams.

    When policies are too restrictive, or do not exist, employees find workarounds. Departments adopt generative AI and machine learning tools independently. Data governance blind spots accumulate where no compliance team can monitor them. Effective policies balance protection with enablement so shadow AI does not become the default.

"Organisations using AI products should establish internal policies about AI use by staff that are updated regularly to reflect the proliferation of AI-enabled products and features."

OAIC. Guidance on privacy and the use of commercially available AI products. October 2024.

The comprehensive AI policy suite.

Eight policies designed to work together, each calibrated to your organisation's risk profile, industry, and operational context. Delivered in editable Word format with version control and review dates.

  1. 01

    AI acceptable use policy

    Foundation governance for all employees.

    Approved tools, what data can be input, required human oversight levels, and prohibited uses. Covers generative AI platforms, machine learning tools, and embedded AI features across business applications.
  2. 02

    AI ethics & responsible AI policy

    Principles aligned to Australia's 8 AI Ethics Principles.

    Fairness, transparency, accountability, privacy, and human oversight requirements for all AI and machine learning systems. Tailored to your industry context and the Voluntary AI Safety Standard.
  3. 03

    AI procurement & vendor policy

    Third-party AI risk management.

    Due diligence requirements for AI vendors, contractual governance clauses, ongoing monitoring obligations, and exit planning. Includes evaluation criteria customised for your procurement processes.
  4. 04

    AI development & deployment policy

    For organisations building AI and ML solutions.

    Model documentation, testing requirements, approval workflows, deployment gates, and ongoing monitoring obligations across the full machine learning lifecycle.
  5. 05

    AI data governance policy

    Privacy Act aligned.

    Data quality requirements, training data provenance standards, personal information handling procedures aligned to Australian Privacy Principles, and cross-border data transfer restrictions.
  6. 06

    AI incident response policy

    When AI systems fail.

    Incident classification, response time requirements, investigation procedures, regulatory notification obligations (OAIC, APRA), and post-incident review processes for AI-related failures.
  7. 07

    Generative AI usage policy

    ChatGPT, Copilot, Claude, and emerging platforms.

    Approved platforms, prohibited inputs, output review requirements, attribution rules, intellectual property considerations, and accuracy verification obligations specific to LLMs.
  8. 08

    AI training & awareness policy

    Role-based AI literacy.

    Training requirements by role: foundation awareness (all staff), practitioner (active users), specialist (developers and data scientists), and leadership (executives and board members).

Our policy implementation approach.

We do not just deliver documents. Typical implementation runs 12 to 16 weeks, with support through every stage from discovery to compliance monitoring.

  1. 01
    2 to 3 weeks

    Discovery and assessment.

    We map your current AI landscape, every AI and machine learning tool in use, existing policies, regulatory requirements, and organisational culture. Stakeholder interviews surface where teams are actually using these tools and where governance gaps exist.

  2. 02
    4 to 6 weeks

    Policy development and drafting.

    We draft the complete policy suite with input from legal, compliance, HR, IT, and business units. Each policy goes through iterative review to ensure it is practical, enforceable, and aligned to Australian regulatory requirements.

  3. 03
    2 to 3 weeks

    Legal review and approval.

    Your legal counsel reviews final policies for alignment with employment law, privacy obligations, and industry regulations. We support the approval process through governance committees and executive sign-off.

  4. 04
    2 to 4 weeks

    Rollout and ongoing monitoring.

    Communication plans, training materials, manager briefings, and employee quick-reference guides. We support policy launch with FAQ sessions and initial compliance monitoring, with metrics to measure adoption and effectiveness.

What you receive.

More than policy documents. Complete AI governance solutions with implementation support and review processes that keep your policies current as the regulatory landscape matures.

Policy documents
6 to 8 core AI policies in editable Word format, with version control, review dates, and ownership assignments.
Supporting materials
Employee quick-reference guides, manager implementation guides, FAQ documents, acknowledgment forms, and compliance checklists.
Communication plan
Rollout communication strategy with key messages, timing, channels, and stakeholder-specific messaging.
Training materials
Slide decks for different audiences (all staff, managers, specialists), facilitator guides, and assessment questions.
Governance structure
AI Governance Committee Terms of Reference, RACI matrices, and escalation procedures.
Review process
Annual policy review framework, regulatory update triggers, and version control procedures.

Build the policy suite your regulators and your workforce both need.

Schedule a consultation to discuss your organisation's policy requirements. We will help you build governance frameworks that enable responsible AI adoption, satisfy Australian regulators, and prepare for the 10 December 2026 Privacy Act deadline.

Or start with an assessment

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