AI Program Impact Measurement & Reporting in Vietnam

Vietnam's AI Law, effective March 2026, introduces a risk-based classification system (high, medium, low risk). High-risk AI systems require mandatory pre-market conformity assessments and human oversight. We help you assess which classification applies to your use case and prepare the necessary governance documentation before enforcement begins.

Vietnam's Personal Data Protection Law (effective January 2026) requires explicit prior consent for data processing, 72-hour breach notification to the Ministry of Public Security, and impact assessments for cross-border data transfers. The Cybersecurity Law also requires 24-month local data storage for Vietnamese user data. Our implementation includes compliance checkpoints for all these requirements.

Yes. Given that only 15-20% of Vietnam's workforce has business-level English, we deliver all training with Vietnamese-language materials and bilingual facilitators. Hands-on exercises use Vietnamese-language examples and locally relevant case studies.

Vietnam offers several incentive mechanisms: preferential CIT rates of 10% for up to 15 years for high-tech projects (vs. standard 20%), the Investment Support Fund (Decree 182/2024) with cash grants for qualifying AI investments, and the NIC Digital Talent Development Program for workforce training. We help you document your investment to qualify for applicable incentives.

While FPT (USD 2.47B revenue) and VinAI offer strong local capability, Pertama Partners brings cross-ASEAN implementation experience with deep regulatory expertise across multiple jurisdictions. We provide structured methodology validated across Southeast Asian markets, combined with Vietnam-specific compliance guidance that reflects the latest AI Law, PDPL, and Cybersecurity Law requirements.

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.