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Intelligence library // 359 briefings
Insights
Practical AI governance guides, regulatory analysis, and research, for enterprise leaders, businesses, and individuals navigating the AI landscape.
For Enterprise259+
Boards, APRA, ASIC, controls & programmes
Start hereFor Business & SMEs52+
Privacy Act, ACCC consumer law, AI6 basics
Start hereFor Startups6+
Founder guide, investor due diligence, EU AI Act
Start hereFor Employees48+
Your rights, Right to Disconnect, AI at work
Start here
Governance 8 min read 2026
AI Ethics Policy: What It Should Contain, Why Generic Statements Fail, and How to Make It Operational
An AI ethics policy articulates principles for AI use. A credible one has specific commitments, red lines, and enforcement mechanisms, not generic statements of values that amount to ethics-washing.
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India 8 min read
AI Governance for Indian Businesses: DPDP Act, IT Act, and What SMEs Need to Do Now
2026
Indian businesses using AI face obligations under the DPDP Act 2023 and IT Act, without the complexity of a comprehensive AI-specific law. Here is the practical starting point for Indian SMEs.
India 10 min read
Enterprise AI Compliance in India: DPDP Act, RBI, SEBI, IRDAI, and the Governance Framework
2026
Large organisations in India using AI face overlapping obligations from the DPDP Act, sector regulators, and the IT Act. Here is the enterprise governance framework for AI compliance in India.
United Kingdom 11 min read
AI in UK Insurance: FCA Consumer Duty, PRA Expectations, and What Insurers Must Do Now
2026
UK insurers using AI in underwriting, pricing, and claims face obligations from FCA Consumer Duty, PRA model risk expectations, the ICO's UK GDPR guidance, and the FCA's pricing practices rules. Here is the complete governance framework.
EU AI Act 11 min read
AI in EU Insurance: EIOPA Guidelines, Solvency II Implications, and the EU AI Act for Insurers
2026
EIOPA's Consultative Expert Group on Digital Ethics published a report on AI Governance Principles in June 2021, and EIOPA itself published a formal Opinion on AI Governance and Risk Management in August 2025. Combined with Solvency II model risk obligations and the EU AI Act, EU insurers face a layered AI governance framework. Here is the complete picture.
United States 10 min read
AI in US Insurance: NAIC Model Bulletin, State Regulators, and the Governance Framework for Insurers
2026
US insurance is state-regulated, but the NAIC's 2023 Model Bulletin on AI establishes a national baseline. Here is the governance framework US insurers need, covering NAIC expectations, state insurance commissioner requirements, and CFPB oversight of credit insurance.
Singapore 8 min read
AI in Singapore Insurance: MAS Expectations, PDPA Obligations, and the FEAT Framework for Insurers
2026
Singapore insurers using AI in underwriting, claims, and distribution face MAS expectations through the FEAT principles and Veritas framework, PDPA obligations on personal data, and MAS Notice 133 consumer protection requirements.
Consumer Rights 9 min read
AI in Insurance: Your Rights When Algorithms Set Your Premium or Deny Your Claim
2026
Insurers worldwide use AI to set premiums, assess claims, and detect fraud. These AI systems can make mistakes, perpetuate bias, and produce decisions you have not been given adequate reasons for. Here is what rights individuals have globally.
Governance 12 min read
AI Controls Framework: The Practical Guide for Enterprise Risk and Compliance Teams
2026
An AI controls framework defines the specific controls, preventive, detective, and corrective, that govern AI risk across an organisation. Here is how to design, implement, and evidence an AI controls framework that satisfies internal audit, external regulators, and boards.
Governance 11 min read
AI Internal Audit: What Audit Committees Should Demand and How to Test AI Controls
2026
AI is now a material risk for most organisations, but few internal audit functions have developed the methodology to audit it effectively. Here is the framework for auditing AI, what to test, how to test it, and what good AI audit evidence looks like.
Risk Management 10 min read
AI Model Risk Controls: Validation, Monitoring, and What Regulators Actually Expect
2026
Model risk management frameworks, originally designed for quantitative financial models, are being extended to cover AI. Here is the AI model risk control framework that financial services regulators and internal audit functions expect to see.
Financial Services 11 min read
AI Controls for Financial Services: The Framework Your Regulator Expects to See
2026
Financial services regulators globally, APRA, FCA, Federal Reserve, MAS, ECB, have all published guidance that implies or explicitly requires AI controls. Here is the complete controls framework for financial services firms, mapped to regulatory expectations.
Governance 7 min read
AI Controls for SMEs: A Practical Checklist That Does Not Require a Risk Team
2026
Enterprise AI controls frameworks are designed for large organisations with dedicated risk and compliance teams. SMEs using AI need a proportionate, practical approach. Here is a working AI controls checklist for organisations without specialist risk infrastructure.
Governance 9 min read
Third-Party AI Controls: The Vendor Management Framework for AI Risk
2026
Most enterprise AI risk is third-party AI risk, AI embedded in software you buy, not AI you build. Vendor AI governance requires specific controls beyond standard vendor management. Here is the framework.
Individual Rights 7 min
What Happens If AI Makes a Wrong Decision About You?
2026
Your rights when an AI system produces an incorrect result, credit, hiring, insurance, healthcare, or benefits. What to do, who to contact, and what the law says.
Employee Rights 7 min
Is AI Monitoring of Employees Legal? What the Law Actually Says
2026
Whether your employer can legally use AI to monitor your work, track productivity, analyse communications, or make performance decisions, by jurisdiction.
AI in the Workplace 7 min
Can AI Be Used for Hiring Legally? What Employers and Candidates Need to Know
2026
The legal requirements for using AI in recruitment and hiring, bias audits, disclosure obligations, anti-discrimination law, and what candidates can do.
Regulation 8 min
China AI Governance: PIPL, CAC Regulations, and What Companies Need to Know
2026
China's layered AI regulatory framework: PIPL, Cybersecurity Law, Data Security Law, CAC algorithm filing, deep synthesis rules, and generative AI measures. What foreign and domestic companies must comply with.
Regulation 6 min
New Zealand AI Governance in 2026: Privacy Act, Algorithms, and the Public Sector
2026
New Zealand's AI governance framework: Privacy Act 2020, Algorithm Charter, government AI guidance, and what organisations operating in NZ need to know.
Regulation 9 min
Asia-Pacific AI Governance: What Companies Operating Across APAC Need to Know
2026
A practical overview of AI governance obligations across the Asia-Pacific region: Australia, Japan, South Korea, Singapore, India, China, New Zealand, Hong Kong, and ASEAN member states.
Regulation 7 min
Hong Kong AI Governance: PDPO, PCPD Framework, and HKMA Requirements
2026
Hong Kong's sector-led AI governance: PDPO data protection, PCPD Model Framework for AI, HKMA banking AI requirements, and practical compliance guidance for organisations.
Employee Rights 8 min
AI Employee Rights Across Asia-Pacific: What Workers Need to Know
2026
Your rights when AI is used in your workplace across Australia, Singapore, Japan, South Korea, Hong Kong, India, and New Zealand. Monitoring, hiring, performance reviews, and termination.
Governance 7 min
India AI Governance by Sector: Banking, Healthcare, and IT Services
2026
Sector-specific AI governance in India: RBI expectations for banks and fintechs, CDSCO requirements for healthcare AI, and compliance for IT services companies deploying AI.
Regulation 7 min
Japan AI Compliance for Foreign Companies: APPI, Guidelines, and Practical Steps
2026
What non-Japanese companies need to know about AI compliance in Japan: APPI data protection, METI/MIC Guidelines, government procurement requirements, and practical implementation.