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Practical AI governance guides, regulatory analysis, and research — for enterprise leaders, businesses, and individuals navigating the AI landscape.
Boards, APRA, ASIC, controls & programmes
Start herePrivacy Act, ACCC consumer law, AI6 basics
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AI Startup Legal Requirements in Australia: The Founder's Complete Compliance Guide
Building an AI startup in Australia? Privacy Act, consumer law, anti-discrimination obligations, sector-specific requirements, and the regulatory landscape for AI in 2026. Everything Australian AI founders need to know before launch.
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How to Audit Your Company's AI Tools: A Practical Step-by-Step Guide
2026
Most organisations have more AI running in their business than anyone realises. This is the practical guide to conducting an AI tools audit — finding everything, assessing what matters, and fixing what needs fixing. No compliance team required.
AI and Your Consumer Rights in Australia: Pricing, Recommendations, and What the ACCC Can Do
2026
Australian businesses use AI to set prices, recommend products, and make decisions about service access. As a consumer, you have rights. Here's what AI-driven pricing and recommendations are doing, what Australian Consumer Law says, and when to complain to the ACCC.
AI Governance Framework Template: The Complete Implementation Guide
2026
A practical, downloadable AI governance framework template for enterprise organisations. Covers policy structure, risk classification, accountability model, monitoring requirements, and incident response — built around ISO 42001, NIST AI RMF, and EU AI Act requirements.
How to Write an AI Policy: Template, Structure, and What to Include
2026
Every organisation using AI needs a written AI policy. This is the practical guide — what to include, how to structure it, common mistakes to avoid, and a section-by-section template you can adapt for your organisation.
AI Risk Register: How to Build and Maintain One (With Template)
2026
An AI risk register is the operational heart of AI governance — the living document that tracks what risks your AI systems create, how they are being managed, and who is accountable. How to build one that actually works.
AI Compliance Checklist 2026: What Your Organisation Actually Needs to Have in Place
2026
A practical, actionable AI compliance checklist for 2026 — covering EU AI Act obligations, GDPR/Privacy Act requirements, sector-specific obligations, and the baseline governance that every organisation using AI should have regardless of jurisdiction.
AI Governance Training for Employees: What to Cover and How to Make It Work
2026
Most AI governance training programmes fail because they teach compliance rules rather than building genuine capability. This is the guide to designing training that actually changes how employees make AI decisions.
AI Regulation by Country 2026: The Complete Global Map
2026
The complete 2026 guide to AI regulation globally — which countries have laws, which have guidelines, which are developing frameworks, and what organisations operating internationally need to know about the patchwork of obligations they face.
AI Governance in India: DPDP Act, SEBI, RBI, and the Emerging Regulatory Landscape
2026
India's Digital Personal Data Protection Act (DPDP) 2023 is now being implemented, with rules expected in 2026. India's financial regulators — RBI and SEBI — have issued AI guidance. This is the complete guide for organisations operating in India.
US AI Compliance for Enterprise: Federal Enforcement, State Laws, and the Sector Regulator Map
2026
No comprehensive US federal AI law — but real compliance obligations from the FTC, CFPB, EEOC, financial regulators, healthcare regulators, and a growing patchwork of state laws. The 2026 enterprise compliance map for US operations.
What Is the NIST AI Risk Management Framework? The Complete Enterprise Guide
2026
The NIST AI Risk Management Framework (AI RMF 1.0) is the most widely adopted AI governance framework in the world. This is the definitive guide to what it covers, how it works, and how to implement it in your organisation.
Responsible AI: What It Actually Means and How to Build a Framework That Works
2026
Every AI vendor claims their AI is 'responsible'. Every governance document references 'responsible AI'. But what does it actually require in practice? The operational guide — beyond the principles, to the specifics.
Board AI Governance Training: What Directors Need to Know and How to Get Up to Speed
2026
Board directors are accountable for AI governance under directors' duties legislation — but most have not received structured AI governance education. This is the guide to what boards need to understand and how to build that understanding.
AI Due Diligence: The Questions Investors, Buyers, and Regulators Are Asking in 2026
2026
Whether you are buying an AI company, selling to enterprise customers, or preparing for regulatory examination, the AI due diligence questions are now standardised enough to prepare for. Here are the 40 questions that matter and what good answers look like.
AI Ethics Policy: What It Is, Why It's Not Enough, and What You Need Alongside It
2026
An AI ethics policy is valuable — but organisations that believe their ethics policy is their AI governance are making a dangerous mistake. What AI ethics policies do well, what they cannot do, and what operational governance must accompany them.
AI Third-Party Risk Management: The Vendor Assessment Checklist
2026
Most organisations' AI risk comes from the AI tools they buy, not the AI they build. This is the practical vendor assessment checklist — what to ask AI vendors, what the answers mean, and what to put in contracts.
Your AI Rights at Work in the EU: GDPR, Automated Decisions, and What You Can Do
2026
EU workers have some of the strongest AI workplace protections in the world — but most don't know what they are or how to use them. The complete guide to your rights when AI is used in your employment.
AI and Your Credit Score: How Algorithmic Lending Works and What Your Rights Are
2026
AI systems now make or substantially influence most credit decisions. Understanding how they work, why they can go wrong, and what your legal rights are when you're denied credit by an algorithm.
AI Background Checks: What Employers Can See, What's Legal, and How to Challenge Errors
2026
AI-powered background screening tools have transformed hiring — and created a new category of job-seeker harm when these systems produce errors, flag innocent people, or discriminate. Your rights and practical remedies.
AI in Government Benefits: Your Rights When Algorithms Make Decisions About Your Support
2026
Government agencies around the world use AI to assess benefit eligibility, detect fraud, and allocate support. After Robodebt, the UK's Universal Credit algorithm, and similar failures, your rights when AI affects your benefits have never been more important.
EU AI Act Annex III: The Complete List of High-Risk AI and What It Means for Your Organisation
2026
Annex III defines the eight categories of high-risk AI under the EU AI Act. This is the definitive guide to what is in scope, which obligations apply, and how to determine if your AI is high-risk.
AI in UK Financial Services 2026: FCA, PRA, and the Bank of England's Expectations
2026
UK financial services AI governance is shaped by three regulators with overlapping but distinct mandates — the FCA (conduct), PRA (prudential), and Bank of England (financial stability). This is the complete 2026 guide.
AI Governance for EU Banks: EBA Guidelines, ECB Expectations, and DORA Intersection
2026
EU banks face AI governance requirements from the EBA (model risk management), the ECB (supervisory expectations), DORA (digital operational resilience including AI systems), and the EU AI Act. The complete 2026 compliance guide.