AI Program Impact Measurement & Reporting in Thailand

All training modules incorporate PDPA compliance frameworks, covering consent management, data minimisation, and breach notification obligations. With THB 21.5 million in fines already levied in 2025 — including against data processors — we ensure your team understands both controller and processor obligations when deploying AI systems that handle personal data.

Thai businesses can access multiple incentives: DEPA grants up to THB 200,000 for digital transformation, a 200% tax deduction on qualifying digital expenses for SMEs (effective June 2025 through December 2027), BOI corporate income tax exemptions up to 13 years for AI investments, and the new Qualified Refundable Tax Credit at 30-50% for advanced skills development.

We deliver using a hybrid English-Thai approach with high-energy, interactive workshops that match Thai learner preferences. Content respects hierarchical management structures and the kreng jai norm of maintaining group harmony, using consensus-building exercises rather than confrontational case studies.

The 2025 Draft Principles of Thailand's AI Law introduces risk-based classifications including 'Prohibited-risk' and 'High-risk' AI categories. Our training builds governance frameworks that anticipate these requirements, so your organisation is prepared when the law is formalized in 2026.

We'll help you develop one as part of training. AI measurement works best with clear frameworks, so we'll guide you through creating simple Theory of Change and logic models appropriate to your programs. This foundational work benefits measurement and program design.

Yes—AI text analytics has advanced significantly. While it won't replace human judgment for nuanced interpretation, AI can identify themes, sentiment, and patterns across hundreds of responses much faster than manual coding. We'll show you how to combine AI efficiency with human oversight.

Common challenge in Southeast Asia. We'll cover offline data collection methods (paper surveys photographed and processed by AI, SMS-based data collection, offline mobile apps that sync later). AI can work with data regardless of collection method—digitization is the bridge.

Critical concern. Training includes data ethics, PDPA compliance, and privacy-preserving AI techniques. We'll configure tools to anonymize beneficiary data, establish access controls, and ensure impact measurement respects dignity and confidentiality of vulnerable populations.

When done transparently, yes. We'll teach you to clearly document AI-assisted methodologies, validate findings, and maintain data audit trails. Many sophisticated funders expect modern measurement approaches. The key is transparency about how AI is used and human oversight of conclusions.