AI & Data Governance

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Overview

As Australia continues to adopt artificial intelligence (AI) across public and private sectors, the demand for robust AI and data governance has never been greater. With regulatory momentum building—such as the Australian Government’s Safe and Responsible AI consultation and alignment with international standards like ISO/IEC 42001 and OECD AI Principles—organisations must be proactive in embedding ethical, transparent, and accountable governance structures.

Altamir supports Australian organisations in navigating the complexities of responsible AI by designing governance frameworks that are compliant, values-driven, and risk-aware. Our services go beyond policy—they embed trust into every layer of your AI ecosystem.

We specialise in AI risk assessments, bias mitigation strategies, data stewardship design, and regulatory readiness. Whether you're in government, healthcare, finance, or not-for-profit, we help you build stakeholder confidence and future-proof your digital investments.

Why it matters:

  • Mitigate reputational, legal, and operational risks from AI misuse

  • Improve compliance with privacy, transparency, and accountability standards

  • Demonstrate ethical leadership and build public trust

What’s at stake:

  • AI systems without proper governance can introduce bias, discrimination, and legal liability

  • Misalignment with regulatory expectations may result in penalties or funding challenges

  • Lack of ethical oversight erodes community trust and long-term innovation potential

Industry insight

“84% of executives believe AI governance is essential to mitigate risks, yet only 25% have mature governance frameworks in place.”— Gartner, 2023 AI Governance Report

Our Services:

  • AI Governance Framework Design
    End-to-end design of governance models aligned with global best practice (ISO/IEC 42001, NIST AI RMF, OECD AI Principles).

  • AI Risk Management & Impact Assessment
    Development of risk registers, human rights assessments, explainability assessments, model lifecycle reviews, and impact matrices for AI deployments.

  • AI Ethics Integration
    Embedding fairness, transparency, accountability, and non-discrimination into policy, product development, and decision-making.

  • AI Policy, Standards & Controls
    Creation of internal policies, guardrails, model audit processes, and compliance mechanisms tailored to your industry and jurisdiction.

  • Regulatory Readiness
    Preparing for and responding to regulatory developments including Australia’s AI Framework, GDPR, EU AI Act, and sector-specific rules.

  • Data Stewardship & Model Governance
    Establishing robust roles, controls, and review mechanisms across the full model lifecycle: design, training, deployment, and decommissioning.

We help you reduce exposure, build trust, and demonstrate leadership in an increasingly scrutinised space.

Resources

Download Altamir’s Regulatory Readiness for Responsible AI

A compliance checklist to evaluate organisational readiness across privacy, transparency, bias, and legal obligations in AI deployment.

AI Governance isn’t optional - let’s help you get started.

As the use of machine learning and automation expands, so does the responsibility to ensure it’s done safely, ethically, and transparently. We design and implement AI governance frameworks that protect your organisation, build public trust, and meet the evolving demands of regulators.