AI Policy Analysis & Regulatory Intelligence in Singapore

This programme directly supports the National AI Strategy 2.0 objectives, including the National AI Impact Programme targeting 6,000+ enterprises. We align all training with IMDA's AI governance framework and AI Verify assessment principles, helping agencies demonstrate leadership in responsible AI deployment.

Yes. We integrate AI Verify's 11 governance principles (transparency, fairness, explainability, accountability, etc.) into all practical exercises. Agencies completing this programme can self-assess their AI deployments against AI Verify criteria, demonstrating governance maturity.

All AI workflows covered in this programme comply with PDPA obligations. The Personal Data Protection Act (PDPA) imposes financial penalties of up to 10% of an organisation's annual turnover in Singapore for organisations with annual local turnover exceeding S$10 million. The PDPA requires mandatory data breach notification to the PDPC within 3 calendar days of assessing that a notifiable breach has occurred. We build PDPA-compliant data handling, consent management, and audit trails into every practical exercise.

This programme is eligible for the SkillsFuture Enterprise Credit (SFEC) providing S$10,000 per employer at up to 90% offset, and the Enhanced Training Support for SMEs (ETSS) offering up to 90% course fee subsidies. The Productivity Solutions Grant (PSG) may also cover pre-approved AI solutions at up to 50% funding.

AI Verify is IMDA's AI governance testing framework that helps organisations assess their AI systems against 11 internationally recognised AI governance principles covering areas such as transparency, fairness, explainability, and accountability. While voluntary, aligning AI deployments with AI Verify principles demonstrates governance maturity to regulators and stakeholders. We integrate relevant AI Verify principles into all programme content.

Yes. Modern AI excels at synthesising complex information from multiple sources, identifying patterns across jurisdictions, and modelling scenarios. It doesn't replace policy judgment — it provides analysts with better, faster evidence so they can focus on interpretation and recommendation.

All training uses publicly available and synthetic materials. The AI tools we teach can be deployed in classified government environments using on-premise infrastructure. We design workflows that respect your security classification framework.

Yes. We customise content for your policy domain — economic, social, environmental, security, technology, or cross-cutting. AI research synthesis and impact modelling tools apply across all policy areas.

We update training content quarterly to reflect the latest AI tools and capabilities. This is especially important for policy teams where the technology landscape is evolving rapidly. Participants learn to evaluate new AI tools as they emerge.

Yes. AI regulatory scanning and comparative analysis modules are directly applicable to international negotiations — providing rapid analysis of other countries' positions, policy precedents, and negotiation dynamics.