AI for Manufacturing Teams in Vietnam

To qualify for the preferential 10% CIT rate for up to 15 years, your AI investment must be documented as a high-tech project in qualifying areas. We help structure your AI implementation -- including documentation, milestone tracking, and technology classification -- to meet the criteria. Note that the new CIT Law (effective October 2025) includes a grandfather clause for existing beneficiaries.

Decree 182/2024 established the Investment Support Fund offering cash grants for qualifying high-tech investments including AI and R&D. Manufacturing firms investing in AI-powered production systems, quality inspection, or predictive maintenance may qualify. First applications were accepted until July 2025, with ongoing rounds expected.

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.

Not necessarily. Basic AI predictive maintenance can start with existing SCADA/MES data (run hours, cycle counts, alarms). Advanced models benefit from additional vibration, temperature, and acoustic sensors, but you can deploy incrementally. We teach phased approaches matching data availability.

Yes, AI computer vision models can be trained on thousands of defect types and product variations. Training requires 500-2000 labelled images per defect category initially, then continuous learning. We teach model training, data collection strategies, and performance monitoring.

Change management is critical. We teach stakeholder engagement emphasising that AI provides decision support, not autonomous control. Operators retain override authority. Most teams embrace AI once they see reduced firefighting, fewer quality escapes, and better predictability.

Integration strategies vary by system age and architecture. Options include edge gateways for OT/IT bridging, middleware platforms, and cloud connectors. We cover technical requirements and IT/OT coordination during training. Legacy systems don't prevent AI deployment — they just require different integration approaches.

ROI varies by use case. Predictive maintenance typically delivers 5-10x ROI in first year through downtime reduction. AI quality inspection shows 3-7x ROI from defect prevention. Production optimisation delivers 2-5x ROI from throughput gains. We teach ROI modeling and business case development during training.