AI for Government & Public Sector in Vietnam

Yes, the AI Law specifically creates a regulatory sandbox mechanism for testing innovative AI applications. Government agencies can apply to test AI solutions in a controlled environment before full deployment. We help you structure sandbox proposals and document outcomes to support the transition from sandbox to production deployment.

The National Digital Transformation Program targets top-50 E-Government status by 2030, while the AI Law requires governance safeguards. We help agencies develop AI implementation roadmaps that simultaneously advance digital transformation goals and embed the risk classification, conformity assessment, and human oversight requirements of the AI Law.

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.

Yes. We customise content to align with your country's national AI strategy and digital government roadmap — whether that's Singapore's Smart Nation, Malaysia's MyDigital, Thailand's Thailand 4.0, or similar initiatives. All AI solutions are designed within your policy and regulatory framework.

All training uses synthetic and publicly available datasets. We teach AI implementation approaches that work within government data classification frameworks — from public to restricted. For sensitive applications, we cover on-premise and government cloud deployment options.

Yes. Module 1 and 3 cover cross-agency data utilisation including data sharing frameworks, API-based integration, and privacy-preserving techniques like federated learning that enable insights without raw data sharing.

Module 4 covers government AI procurement specifically — evaluation frameworks, proof-of-concept structures, and contract terms appropriate for AI solutions. We help you navigate the tension between procurement compliance and technology agility.

Module 5 addresses this directly. We teach responsible AI adoption that augments civil servants rather than replacing them, with clear frameworks for workforce transition, reskilling, and role evolution. This builds staff confidence and reduces resistance.