All Articles

A practical, jargon-free guide for CEOs on leading AI initiatives. Covers strategy, talent, governance, and culture—plus common mistakes to avoid and questions to ask.

A practical framework for developing AI governance capability at the board level. Three-tier curriculum, delivery methods, and implementation guide for director AI education.

A comprehensive guide to structuring board-level AI risk oversight. Includes decision tree for committee structure, responsibilities matrix, and implementation roadmap.

A structured framework of 25 essential questions for board members to evaluate AI strategy, risk, governance, operations, and ethics. Practical oversight without technical expertise.

Create effective AI board reports with practical template. Full report example, section guidance, and best practices for executive communication.

Understand board AI oversight responsibilities. SOP for annual review, key oversight areas, and practical guidance for directors without technical backgrounds.

Navigate AI compliance for schools in Singapore, Malaysia, and Thailand. Risk register, student data protection, and guidance for international schools.

Navigate cross-border data transfer requirements for AI in Singapore, Malaysia, and Thailand. Decision tree for compliance, PDPA guidance, and vendor assessment.

Anticipate coming AI regulations with trend analysis for Singapore, Malaysia, and Thailand. Timeline of expected milestones and preparation guidance.

Extend data classification for AI systems. Policy template for AI data classification, handling rules, and guidance on training data and outputs.

Design AI training that empowers marketing, sales, HR, finance, and operations teams to adopt AI tools confidently without requiring technical backgrounds.

Design appropriate access controls for AI systems. RACI for access management, implementation guide, and guidance on data, model, and output access.