Top 10 AI Prompts and Use Cases and in the Government Industry in Viet Nam

AI is now core to Vietnam's push for smarter, faster public services and resilient planning: the 2021 National Strategy aims to make Vietnam an ASEAN AI hub by 2030, recent reporting highlights government incentives and a proposed regulatory sandbox for two‑year trials, and high‑level rules like Decree No.13/2023 plus MoST's 2024 principles are shaping responsible deployment - from e‑government and disaster mapping to healthcare diagnostics and urban management.

Strategic moves (including NVIDIA's R&D expansion) and a steady supply of IT graduates make practical pilots attractive, while draft laws on the Digital Technology Industry and Personal Data Protection promise clearer rules for data, labeling and forbidden AI uses.

For government teams and civil servants learning to prompt and apply AI safely, short applied courses such as Nucamp AI Essentials for Work bootcamp can bridge skills gaps as policy and pilots scale (see Vietnam Briefing AI policy coverage and Asia Society Vietnam policy context for the full policy context).

Document	Focus	Date
National Strategy on R&D & Application of AI	National AI roadmap to 2030	26 Jan 2021
Decree No.13/2023/ND-CP	Data protection alignment	Effective 1 Jul 2023
MoST Decision No.1290/QD-BKHCN	Nine principles for responsible AI R&D	Jun 2024
Draft PDP Law	Personal data protection; expected enactment	Scheduled Oct 2025

“This makes Vietnam the second-largest supplier of software engineers in the world – a fact that few people know about. With this potential, we believe that Vietnam is an ideal place for NVIDIA to develop R&D centers and build a strong AI ecosystem here.” - Jensen Huang, CEO of NVIDIA

The guide was assembled by triangulating official strategy documents, policy briefings and industry reporting to keep recommendations tied to Vietnam's real-world priorities: the National Strategy (Decision 127/QD‑TTg) and its targets for 2025/2030 provided the policy baseline, while investor and regulatory coverage (including a 2025 regulatory overview) revealed near-term incentives and sandbox plans; sector analyses and case studies (healthcare, NIC, VinAI and local platforms) grounded use cases in deployments and talent realities.

Sources were cross-checked for consistency on targets (open datasets, national innovation centers, workforce goals) and for signals such as NVIDIA's R&D expansion and the National Innovation Center's role - imagining three linked national data centers as “highways of bytes” helped prioritise scalable prompts and data governance patterns.

The methodology favoured pragmatic criteria: policy alignment, measurable impact on citizen services, data availability, and workforce readiness (e.g., reported annual IT graduate numbers), with Nucamp's applied learning resources used to shape practical prompt examples and training advice.

For full context, see the Vietnam National Strategy for AI (Decision 127/QD‑TTg) and independent analyses from Vietnam Briefing - 2025 AI sector regulatory overview and the Asia Society - Raising standards for data and AI in Southeast Asia (Vietnam).

Method step	Primary source used
Policy baseline	Vietnam National Strategy for AI (Decision 127/QD‑TTg)
Regulatory & investor scan	Vietnam Briefing 2025 AI sector regulatory frameworks and opportunities for investors
Sector synthesis & case studies	Asia Society analysis: Data and AI in Southeast Asia - Vietnam

“This makes Vietnam the second-largest supplier of software engineers in the world – a fact that few people know about. With this potential, we believe that Vietnam is an ideal place for NVIDIA to develop R&D centers and build a strong AI ecosystem here.” - Jensen Huang, CEO of NVIDIA

Building reliable national data catalogues is now the plumbing of Vietnam's digital state: under Prime Ministerial Decision No.1751 (Aug 18, 2025) the National Data Centre and a National General Database will stitch every sectoral registry into a single, interoperable platform so ministries, localities and partners can share vetted datasets rather than re‑collecting the same facts; the plan targets at least 90% of eligible procedures online and 90% of users authenticated through a unified eID, with the National Public Service Portal serving as the “one‑stop shop” for e‑government (see the national data strategy coverage on Việt Nam News national data strategy coverage and VnEconomy national data strategy coverage).

Complementary infrastructure such as the government‑backed NDAChain blockchain and the NDA DID identity stack add traceability and decentralized identity for high‑stakes flows like health, finance and supply chains, which helps meet new obligations under Vietnam's Data Law on classification, cross‑border transfer and centralized cataloguing.

The result should feel tangible: instead of fragmented files, citizens and civil servants will find a single index - anchored at the Hoa Lac National Data Centre (over 20 ha, among the largest in Southeast Asia) - that turns months of paperwork into verifiable, reusable data for policy, service design and secure innovation (read more on the blockchain and identity layer in the Vietnam Briefing analysis of blockchain and identity in Vietnam and the legal framing in the ComplianceHub legal analysis of Vietnam Data Law).

Item	Key fact
Decision No.	1751/QĐ‑TTg (approved 18 Aug 2025)
National Data Centre No.1	Launched at Hoa Lac Hi‑Tech Park; >20 ha; top‑tier security
2030 targets	Unified platform for all national/sectoral databases; ≥90% online services; ≥90% unified eID authentication

Hanoi's municipal chatbot pilot highlights a simple, high‑impact route into citizen‑facing automation: by automating routine requests and FAQs, chatbots free officers to handle complex cases and raise satisfaction without large capital projects - a pattern confirmed by Ho Chi Minh City AI pilot results that measured clear

officer‑year equivalents saved

alongside improved citizen satisfaction (Ho Chi Minh City AI pilot results).

Smart service chatbots work best when they follow a playbook: start small, connect to verified datasets and eID flows, monitor escalation rates, and pair pilots with staff training so human reviewers catch edge cases early; Vietnam teams can follow a practical, localised path by using a step‑by‑step AI adoption roadmap tailored for government contexts.

The payoff is tangible: fewer repetitive transactions, faster response times, and more officer time for judgment‑heavy work - a change citizens feel immediately when last‑month queues become quick online replies.

Digital identity in Vietnam increasingly hinges on reliable eKYC, and Viettel's eKYC platform has become a practical bridge from paper to secure online transactions: the solution pairs OCR, NFC chip reading, high‑accuracy face‑matching and liveness detection to authenticate citizens against the national database in minutes, cutting paperwork by over 80% and processing time by up to 70% while supporting multi‑platform SDKs for easy integration - read Viettel AI's technical overview for details Viettel AI eKYC platform technical overview.

Independent PAD testing found the system resilient against advanced 2D/3D spoofing (≈3,000 simulated attacks with a 0% error claim), earning ISO 30107‑3 level‑2 recognition and making it a defensible choice for high‑risk services like digital banking and e‑signatures; see the independent PAD testing summary at Biometric Update: Viettel KYC PAD test summary.

The result is tangible for citizens and agencies: a swipe, a chip read, or a quick selfie replaces long queues, and the platform already underpins Viettel Money and other large deployments - a vivid reminder that strong anti‑spoofing is the guardian of trust as Vietnam builds a national digital identity ecosystem.

Metric	Value / Claim
Certification	ISO/IEC 30107‑3 (FaceID) - Level 2
PAD tests	~3,000 simulated 2D/3D spoof artifacts; 0% error reported
Integration	Direct cross‑check with national citizen ID database (chip CCCD)
Operational impact	Paperwork ↓ >80%; processing time ↓ up to 70%
Production use	Biometric backbone for Viettel Money (≈25 million users)

“Viettel is dedicated to advancing AI technologies to provide businesses and individuals with cutting-edge solutions, particularly in authentication and electronic customer identification services crucial for numerous digital applications,” - Nguyen Manh Quy, Director of Viettel AI

Vietnam's homegrown imaging AI has moved from pilot to everyday clinical triage: VinBrain's DrAid - trained on more than 2.5 million images and cleared for key chest‑X‑ray findings - now underpins AI workflows across hundreds of hospitals in Vietnam and abroad, speeding throughput, reducing report time from minutes to under a minute in some sites, and freeing radiologists to focus on complex cases; for example, one deployment pattern shifts a 200‑patient, 8‑hour X‑ray workload so clinicians screen 150 images quickly and spend the remaining time on the ~50 flagged cases that need human judgement, a vivid demonstration of “assistive scale” that eases overcrowded clinics.

The platform mixes on‑prem DrAid Appliance edge screening with cloud GPU bursts to keep latency low and has been rolled out through partnerships with national chains and device makers - see NVIDIA's coverage of the early hospital rollouts and VinBrain's 2024 growth briefing on new partnerships and wider national deployments for the latest progress.

These real‑world outcomes - faster retrieval, automated lesion heatmaps, and multimodal links to labs and vitals - make AI a practical tool for diagnostics, surveillance and policy planning rather than a distant promise.

Metric	Value
Hospitals deployed	100+ (earlier) - 182 reported (2024)
Training images	>2.5 million
Patients analysed / month	~120,000
Report time	4–5 min → 40–60 sec (reported reductions)
Productivity gain (on‑prem appliance)	Up to ~80% improvement in doctor productivity (reported)

“AI is revolutionizing radiology by strengthening the human-machine partnership. It's about leveraging the strengths of both human cognition and AI to enhance efficiency without compromising accuracy.” - Professor Langlotz, AIMI Center, Stanford University

Agriculture modernization in Vietnam can take off with lightweight, localised AI advisory systems that bring practical guidance to rice farmers without reinventing the wheel: pilots can follow the same pragmatic, phased approach used in municipal AI rollouts - start small, connect to verified datasets and authentication flows, monitor escalation rates, and pair automated advice with human extension agents - using a clear, step‑by‑step AI adoption roadmap for government teams (Complete Guide to Using AI in the Government Industry in Viet Nam in 2025).

Practical government pilots have already demonstrated measurable gains in service efficiency (see the Ho Chi Minh City AI pilot results), and a rice advisory that routes verified weather, pest and input recommendations to farmers could turn sporadic trial-and-error into timely, evidence‑backed choices - shrinking risk for smallholders and making extension services far more scalable.

Ho Chi Minh City's traffic‑optimization pilot illustrates a pragmatic AI path for crowded Vietnamese streets: by fusing anonymized GPS and footfall feeds with camera‑based crowd‑AI sensing, city teams can detect accidents, traffic violations and congestion “anomalies” in real time, tune signal timings and prioritize operator response instead of watching thousands of screens; this builds on the city's smart traffic operation centre (operational since 2019) and targets the everyday reality of a metropolis with a swarm of 7.3 million motorbikes among roughly 8.4 million residents.

Practical trials combine mobility datasets (useful for route usage, heat maps and signal optimisation) with on‑the‑ground camera fusion and GPS characteristic studies to create planners' simulators and live routing - see the Vietnam mobility dataset for real‑time GPS movement patterns from xMap and the Crowd‑AI sensing project for Ho Chi Minh City's camera‑based anomaly detection pilot for concrete examples of data, methods and urban planning use cases.

Item	Value / Source
Mobility data coverage	100,000,000+ records; real‑time (xMap)
Unique identifiers	15,000,000+ (xMap)
Historic span	5+ years (xMap)
City vehicle context	≈7.3 million motorbikes; ~8.4 million residents (Crowd‑AI)
Operational backbone	Smart traffic operation centre - operational since 2019 (OpenGov Asia)

Project ViGen is fast becoming Vietnam's go‑to foundation for climate, disaster and environmental AI because it fills the critical data gap that has historically held models back from understanding Vietnamese language, geography and local context; led by Meta, the National Innovation Center (NIC) and AI for Vietnam with strategic partners like NVIDIA, Viettel and the Vietnam Academy of Science and Technology, ViGen will publish large, high‑quality open‑source Vietnamese datasets and tools that let governments train localised models for flood mapping, mobility‑aware risk forecasts and population‑scale environmental monitoring - Meta alone has pledged more than a dozen open datasets to kickstart the effort (see the Project ViGen overview - Vietnamese open datasets for climate and disaster AI and Vietnam Innovation Challenge 2025 launch coverage).

By giving planners clean, annotated feeds (including mobility and population maps) and standard evaluation benchmarks, ViGen turns noisy field observations into reliable inputs for early warning systems; one vivid payoff: a consolidated Vietnamese dataset can shrink the time to build a usable flood‑map model from months to weeks, so riverine communities get earlier, actionable alerts.

For a concise read on the national challenge and ViGen's ambitions, see the Vietnam Innovation Challenge 2025 launch and the VOV summary.

Item	Detail
Project	Project ViGen - Vietnamese open datasets for climate & disaster AI
Lead partners	Meta, National Innovation Center (NIC), AI for Vietnam
Strategic partners	NVIDIA, Viettel, Vietnam Academy of Science and Technology
Core goal	Open‑source Vietnamese datasets, evaluation frameworks and tools for LLMs and applied AI
Highlighted launch	Vietnam Innovation Challenge 2025 launch - VietnamNews coverage

“This project is for the whole nation, not just one group or organisation,” - Võ Xuân Hoài, Deputy Director General, National Innovation Centre

As Vietnam's Ministry of Public Security considers an AI oversight framework, practical lessons from recent ethical work abroad point to three non‑negotiables: bake transparency and community input into procurement, run continuous bias audits to prevent “feedback loops” that redirect patrols back to the same neighbourhoods, and enforce human‑in‑the‑loop controls so algorithmic outputs remain advisory - not determinative.

The Northwestern/CASMI evaluation offers a concrete playbook (a voluntary framework with 63 targeted recommendations) for place‑based patrol systems that emphasises data selection, explainability and stakeholder engagement, while Europol's seven‑step ethical assessment provides a structured method to evaluate new tools against values like fairness, privacy and proportionality; together these resources can help shape an MPS oversight regime that pairs operational gains with legal safeguards and public trust (see the Northwestern CASMI evaluation of place‑based patrol systems and the Europol ethical assessment for AI tools for practical checklists).

Training, audit trails and clear escalation protocols make the difference in practice - one vivid risk to avoid is a small data bias that, unchecked, turns a neighbourhood into a self‑fulfilling high‑risk zone rather than a safer community.

“The spirit of these recommendations and their goal is to help police become better at their job… They are being given a new tool to use, and they need to understand how to incorporate the tool into their work,” - Jenkins

The draft Digital Technology Industry (DTI) law is shaping up as Vietnam's practical playbook for sorting AI risk at scale: Section 5 of Chapter IV sets aside explicit AI rules alongside investment and tax incentives, while the bill's risk‑classification approach pairs prohibitions (eg, AI that usurps individual decision‑making or builds unauthorized sensitive databases) with transparency duties like mandatory labeling and a two‑year regulatory sandbox for controlled trials - a setup that lets promising services run live under oversight rather than being summarily banned after a single error.

This is also where fast LLM‑driven analysis becomes useful for policy teams: models can synthesize stakeholder submissions, produce executive‑ready risk assessments and simulate how a given classification will affect industry uptake or vulnerable groups (see practical prompting use cases in John Little's guide to using LLMs for analysis).

The upshot for Vietnamese regulators and implementers is concrete: pair the DTI's incentives (150% R&D tax deduction, multi‑year PIT and land rent breaks) with clear, evidence‑based risk matrices and LLM‑assisted impact briefs to speed reviews without sacrificing public safety or data rights - a balance that investors and agencies alike are watching closely.

For a concise explainer of the draft law's AI sections and incentives, see Vietnam Briefing's 2025 regulatory overview.

Item	Key detail
DTI Law structure	8 chapters, 73 articles; Section 5 (Chapter IV) dedicated to AI regulations
Prohibited practices	Bans on AI that impairs decision‑making, harms vulnerable groups, or expands sensitive databases
Transparency	Mandatory labelling of AI‑generated digital products
Regulatory sandbox	Trial period up to 2 years (with possible extension)
Incentives	150% R&D expense deduction; 5‑year PIT exemption for specialists; land/rent and customs/tax preferences

Vietnam's AI workforce picture is finally moving from alarm to action: university-led centers and national schemes are scaling classroom-to‑workforce pipelines so public sector projects actually have people to run them.

The newly launched Fulbright AI Institute (May 19, 2025) is designing an AI major, executive short courses and industry immersion from its Crescent Plaza campus in Ho Chi Minh City, backed by a Google grant that boosts faculty hires and research partnerships (see Fulbright University Vietnam AI Institute).

At the same time, national programs - including the MoST National AI Talent Attraction Initiative aiming to recruit 100 elite AI experts - and new training hubs like the Vietnam AI Academy (HUST's NVIDIA‑linked programme targeting thousands of learners in year one) are closing acute gaps in LLM, vision and infrastructure skills reported across the market.

Short, practical routes (bootcamps, industry co‑ops and university executive education) will be critical to convert Vietnam's large IT base (>560k tech workers) into the deep AI teams government pilots need for healthcare, disaster mapping and smart cities; the payoff is a ready bench of specialists who can translate pilots into routine public services.

Initiative	Key fact
Fulbright University Vietnam AI Institute (AI Institute, Ho Chi Minh City)	Launched 19 May 2025; new AI major, executive courses, industry immersion
Google grant to Fulbright	US$1.5 million to support AI education and research
National AI Talent Attraction Initiative	Target to recruit 100 elite AI experts (MoST)

Practical next steps for beginners and government practitioners in Việt Nam start with skill-first, risk-aware pilots: learn how to prompt, vet outputs and integrate AI into workflows using short applied courses like the Nucamp AI Essentials for Work bootcamp (Nucamp AI Essentials for Work - 15-week bootcamp), then align every pilot with the National Strategy to 2030 so projects advance the country's AI goals rather than running ad hoc (Vietnam National Strategy on R&D & Application of AI (Decision 127/QĐ‑TTg)).

Test ideas in controlled environments and use the draft DTI/sandbox approach highlighted in recent analysis (Vietnam Briefing - AI regulatory frameworks and sandbox guidance (2025)) to iterate safely: start small, connect to verified national datasets and eID flows, require human-in-the-loop review, and document audits so learnings scale.

One vivid payoff to keep in mind - well-scoped pilots can shave months off model development and convert repetitive citizen queries into near-instant online replies - making AI a concrete productivity lever for public services rather than a distant promise.

Next step	Resource
Practical upskilling	Nucamp AI Essentials for Work - 15-week bootcamp (registration)
Policy alignment	Vietnam National Strategy on R&D & Application of AI (Decision 127/QĐ‑TTg)
Regulatory testing	Vietnam Briefing - regulatory & sandbox overview (2025)