AI for Vietnamese Businesses: Where to Start for Fast ROI?
A practical guide to adopting AI for Vietnamese businesses: decomposing workflows, prioritizing operational bottlenecks, governing data, and driving real ROI.
AI for business
Strategic AI for Businesses: Starting with Problems, Not Tools
The adoption of AI for businesses in Vietnam is rapidly evolving from scattered internal experiments to high-stakes demands for clear financial returns. However, many enterprise leaders remain trapped in vendor selection, asking which software suite to buy rather than identifying which operational bottleneck needs eliminating. Achieving early and measurable impact requires an intentional shift toward business-first problem definition.
According to executive management experts featured in VnEconomy, a frequent pitfall among companies is asking what AI can do instead of determining the most valuable business challenge that needs fixing. Furthermore, a 2026 study by PwC cited by VnEconomy revealed that the top 20 percent of enterprises capture 74 percent of all financial value generated by AI. This massive disparity confirms that software spending alone does not automatically yield positive returns on investment.
Three High-Impact Areas for Small and Medium Enterprises
For small and medium enterprises (SMEs), launching large-scale transformation initiatives immediately introduces unnecessary operational and financial exposure. Insights from industry experts on VietSuccess, DigiService, and MobiFone suggest that leadership should target tightly defined, repetitive processes first. This tactical approach reduces organizational friction and validates feasibility before substantial capital commitments are approved.
Three core business functions consistently deliver immediate operational improvements: Customer support through automatic ticket categorization and initial FAQ handling; Sales and marketing through faster research, copy drafting, and inbound lead qualification; and Back-office operations by consolidating routine reporting, administrative document reviews, and internal form standardization.
Deconstructing Workflows to Target Real Operational ROI
During the AI For Management Excellence conference organized by GEM Global and reported by VnEconomy, analysts highlighted workflow decomposition as a crucial prerequisite. Executives cannot evaluate organizational readiness from a macro viewpoint. Instead, every department's core responsibilities must be deconstructed into granular, daily operational tasks that track labor hours, manual repetition, and administrative costs.
Once broken down, tasks should be mapped onto an evaluation matrix contrasting technical complexity against direct business impact. Workflows that consume significant labor hours but already operate on explicit, predictable rules represent ideal test cases. If an underlying process remains unstructured or heavily dependent on subjective decisions, introducing automation will only amplify systemic operational friction.
AI Governance: Protecting Confidential Data from Day One
A widespread organizational misconception is that corporate governance is only relevant when building custom proprietary language models or enterprise-wide autonomous agents. However, insights from FPT Digital demonstrate that governance protocols must be active the moment employees start utilizing public tools like ChatGPT, Claude, or Canva AI. Without formal guardrails, sensitive corporate intelligence, customer records, and financial disclosures are vulnerable to external leakage.
FPT Digital outlines three foundational steps for early risk management: classifying enterprise data tiers, publishing a transparent acceptable-use policy, and maintaining an approved application catalog. A 2025 global study by Melbourne and KPMG noted that sustained technological trust requires clear internal ownership regarding who validates, audits, and takes accountability for machine-generated work products.
A 5-Step Pilot Framework for Risk-Controlled Deployment
Drawing upon operational guidelines from MobiFone, deploying technology across organizational units should follow a disciplined five-step sequence to safeguard capital. The initial stage requires isolating a single operational bottleneck that clearly inflates operating costs. The second stage focuses on data hygiene and preparation, as algorithms cannot produce dependable outputs if corporate records are scattered, corrupted, or unstructured.
The third stage involves selecting accessible solutions that seamlessly integrate with existing digital architecture. The fourth stage launches a strict pilot phase spanning 4 to 8 weeks within a focused operational cohort. The fifth step measures empirical operational metrics against predefined benchmarks before any organizational rollout is authorized.
Common Strategic Pitfalls and an Executive Investment Checklist
The most damaging assumption among regional enterprises is believing that modern software can rectify fundamental management shortcomings or disorganized workflows. As detailed by the National Institute for Finance (Ministry of Finance), capitalizing on emerging technology unlocks immense productivity but requires durable alignment with sustainable corporate strategy, avoiding superficial market hype that creates vendor lock-in.
Before authorizing corporate capital for algorithmic initiatives, executive committees should evaluate four fundamental criteria: Is the target workflow fully documented and standardized? Is the input dataset verified, clean, and shielded from security breaches? Has an internal stakeholder been assigned to verify accuracy? And are quantifiable success metrics in place to evaluate the pilot phase?
Frequently asked questions
Contact TS68's technology specialists today to assess your operational workflows and establish a secure, practical roadmap for business innovation.
Sources
- Doanh nghiệp Việt Nam trước làn sóng AI “bùng nổ”
- Quản trị AI (AI Governance) trong doanh nghiệp: Làm sao để nhân viên dùng AI an toàn và hiệu quả? - FPT Digital
- Ứng dụng AI trong doanh nghiệp Việt: Từ chọn công cụ đến chọn đúng bài toán
- Đánh giá mức độ ứng dụng AI cho doanh nghiệp: Bước đầu triển khai
- SME muốn ứng dụng A.I, cần bắt đầu từ đâu? Theo TS. Vương ...
- 5 bước cơ bản để triển khai AI vào doanh nghiệp nhỏ và vừa
More articles
How the Law on E-Transactions Impacts Corporate Document Digitization
The amended Law on Electronic Transactions provides a legal framework for corporate document digitization in Vietnam. This article analyzes legal validity requirements, digital signatures, electronic certificates, and compliance roadmaps for enterprises.
Enterprise Data Loss Prevention DLP: Stop Sensitive File Leaks via Email and Cloud
A comprehensive guide on enterprise data loss prevention DLP to prevent accidental file leaks via email and cloud drives, manage shadow data risks, and ensure compliance.
Automating Customer Request Classification and Routing with AI
Discover how to automatically classify customer inquiries using artificial intelligence and route them to the right personnel, optimizing business operations and customer experience.
Email Migration to Google Workspace: Step-by-Step Roadmap
Moving corporate mailboxes from legacy hosting services to Google Workspace requires structured planning. Discover the complete step-by-step roadmap covering pre-migration checks, data synchronization via Google Admin Console, DNS cutover, and post-migration security setup.
How to Configure SPF, DKIM, and DMARC for Microsoft 365 Email
A comprehensive guide on configuring SPF, DKIM, and DMARC for Microsoft 365 to secure domain reputation, prevent email spoofing, and improve deliverability.