Artificial Intelligence is no longer on the horizon – it’s here, reshaping how enterprises compete and societies operate. Yet many organizations still struggle: fragmented data, unclear governance and stalled pilots make enterprise AI adoption an uphill battle. How can businesses in Vietnam and beyond move from experimentation to measurable impact?
At Tech4Life 2025, Ms. Rosy Giang Tran, VP Strategy & Innovation at Kyanon Digital, shared the perspective on AI for enterprises and society, how enterprises and individuals can embrace AI responsibly and strategically. In this blog, Kyanon Digital explores global and local trends, barriers to adoption, Kyanon Digital’s AI Strategy Framework and the launch of WisdomMind – Kyanon Digital’s enterprise-wide GenAI orchestration platform.
Key Takeaways
- AI is shifting from experimentation to enterprise-wide integration, with industries like legal, healthcare, and finance setting the pace.
- Vietnam is emerging as a regional hub, supported by government policy, enterprise readiness and a fast-growing ecosystem of talent and partnerships.
- Key challenges remain, including fragmented data, lack of governance and difficulty moving from pilot projects to scalable adoption.
- Kyanon Digital’s AI Strategy & Adoption Framework (ASAF) provides a structured, iterative roadmap that aligns innovation with measurable outcomes.
- WisdomMind – a core GenAI Orchestration Platform enables safe, enterprise-grade AI adoption, offering governance, security and flexibility to deploy tailored AI Agents across diverse use cases.
Global Trends: The enterprise AI revolution

The global AI landscape has shifted from experimentation to strategic integration.
AI has moved from hype to enterprise reality
According to McKinsey’s 2025 survey, 65% of enterprises worldwide have already piloted or deployed AI solutions across their operations. This signals a fundamental shift: AI is becoming an operational backbone rather than a side project.
Industry leaders are setting the pace
The most transformative applications are emerging in legal, healthcare, and financial services.
- In legal practice, AI accelerates due diligence and compliance reviews.
- In healthcare, predictive analytics supports diagnosis and treatment.
- In financial services, decision engines power personalized engagement and real-time risk management.
These examples show how AI is reshaping industries by combining efficiency with enhanced user experiences.
Trust and governance are now strategic imperatives
As enterprises expand adoption, the challenge is no longer just building AI models – it is ensuring they are deployed responsibly. Compliance, transparency, and security have become board-level priorities, with organizations recognizing that trust is the foundation of sustainable AI integration. The winners in this new phase will be those who embed governance frameworks alongside innovation.
From experimentation to measurable impact
Globally, enterprises are evolving beyond proofs-of-concept to strategic adoption. The focus has shifted from testing capabilities to achieving scalable, measurable business outcomes. This requires not only advanced technology but also a structured approach to aligning AI initiatives with long-term value creation.
Transform your ideas into reality with our services. Get started today!
Our team will contact you within 24 hours.
Vietnam’s AI momentum and direction

Government commitment to leadership in ASEAN
Vietnam has set an ambitious roadmap through its AI Strategy 2030, aiming to become a regional hub for innovation and adoption. Strategic investment in digital infrastructure, combined with national programs for talent development, provides fertile ground for enterprises to experiment with new AI applications that align with both economic and societal goals.
Enterprises at the forefront of experimentation
Local industries such as food & beverage, banking, logistics and real estate are rapidly piloting and scaling solutions. This early enterprise AI adoption highlights not only the appetite for transformation but also the willingness of businesses to integrate intelligent systems into daily operations, from customer engagement to supply chain optimization.
Ecosystem of talent and partnerships
Universities, startups and technology firms are expanding the ecosystem, nurturing a new generation of engineers and researchers. These collaborations create a fertile testing ground for an AI strategy framework that combines global best practices with local market realities. By embedding innovation at the ecosystem level, Vietnam positions itself as a credible player in the global technology race.
Responsible transformation as a competitive edge
While opportunities are vast, responsible AI in Vietnam remains a critical challenge. The absence of a complete governance framework means enterprises must balance innovation with compliance and data protection. This is where platforms like WisdomMind can accelerate adoption by providing standardized governance, security, and scalability – ensuring Vietnamese organizations harness AI responsibly while gaining a competitive edge in the region.
Challenges: Why AI adoption stalls

Despite positive signals, many enterprises remain hesitant to scale AI. Ms Rosy emphasized three recurring barriers:
Fragmented data and legacy systems
Many organizations still operate on siloed infrastructures where critical information is scattered across departments. This lack of integration prevents seamless analytics, slows innovation, and creates inconsistencies in AI applications. Without a unified data foundation, enterprises struggle to unlock the full potential of machine learning and automation.
Absence of governance and compliance standards
In many markets, including Southeast Asia, the lack of clear policies and accountability frameworks creates both operational and reputational risks. This gap underscores the need for a structured AI strategy framework that allows businesses to innovate while ensuring alignment with evolving regulations.
From proof of concept to enterprise-wide deployment
While initial pilots often demonstrate value, enterprises frequently hesitate to scale. Leaders face uncertainty in measuring ROI, assessing risks and ensuring long-term reliability. As a result, enterprise AI adoption can stall at the experimentation stage, leaving organizations with isolated projects rather than system-wide transformation.
The underlying challenge: a missing value framework to manage AI effectively and responsibly.
Kyanon Digital’s AI Strategy & Adoption Framework (ASAF)

With more than 13 years of experience across APAC, Kyanon Digital has established itself as a strategic ally for enterprises navigating digital transformation. Backed by a team of 500+ consultants and engineers, the company provides end-to-end services that ensure AI applications are not only innovative but also sustainable in complex enterprise environments.
AI Strategy & Adoption Framework (ASAF) provides a structured, five-phase methodology:
- Aware – Building organizational readiness: Enterprises begin by identifying opportunities and pain points where AI applications can transform business operations. This involves aligning leadership on the importance of AI, identifying high-value opportunities, and establishing the governance mindset required to manage technology responsibly.
- Envision – Defining the future state: Organizations develop a shared vision for what successful AI integration looks like. Leaders prioritize use cases, assess resources and create a strategic roadmap that balances ambition with feasibility. This clarity enables enterprises to link innovation directly to long-term business objectives.
- Conceptualize & Design – Turning vision into structure: Focus on designing the architecture, governance processes, and performance metrics. By embedding compliance and accountability into the design, enterprises avoid pitfalls of ad hoc experimentation and build a scalable AI strategy framework that is robust and adaptable.
- Build & Pilot – Testing in action: Enterprises move from theory to practice by building prototypes and piloting selected use cases. Iterative loops allow for validation, refinement and performance tuning. This phase ensures that only proven models progress further, reducing the risks often seen in stalled enterprise AI adoption.
- Implement & Scale – Embedding across the business: Once pilots demonstrate measurable results, solutions are rolled out at scale across departments and processes. This is where enterprises unlock system-wide efficiency and growth. For regions like Vietnam, where responsible AI is becoming increasingly important, this phase ensures transformation is not only fast but also secure and sustainable.
Unlike one-off experiments, this AI Strategy Framework prioritizes scalability, compliance and measurable ROI. It ensures that enterprise AI adoption does not stall after initial pilots but progresses toward system-wide transformation. By linking each initiative to tangible business outcomes, organizations can make confident investment decisions.
WisdomMind: The enterprise-wide GenAI orchestration platform
Enterprises know that customer and organizational data are their most valuable assets, but safeguarding them is a constant challenge. Many vendors and clients prohibit uploading sensitive information to public generative tools like ChatGPT or Gemini due to leakage concerns. The keynote culminated with the introduction of WisdomMind – a core GenAI Orchestration Platform that enables enterprises to establish end-to-end governance and deploy AI applications safely and effectively.

WisdomMind addresses this tension by offering a secure environment where companies can innovate with AI while maintaining strict control over confidentiality and compliance. This approach helps enterprises scale confidently without compromising trust.
Key Features
Visit WisdomMind homepage for more detailed information: https://www.wisdommind.ai/
LLM + RAG Architecture
At its foundation, WisdomMind combines Large Language Models with real-time retrieval systems. This hybrid approach ensures outputs are accurate, relevant, and contextual, addressing one of the biggest shortcomings of generic generative tools. As an AI platform, it provides the precision required for enterprise use, where every decision has tangible business impact.
Enterprise Governance
Security and compliance are built into the core. WisdomMind allows organizations to establish standardized governance over data usage, ensuring information remains protected and processes are auditable. For regions like Vietnam, this makes the platform a critical enabler of responsible AI practices, supporting businesses as they grow in a market still developing its regulatory framework.
AI Agents for Any Use Case
WisdomMind offers the flexibility to create specialized AI Agents for different business challenges. Enterprises can design agents for legal compliance, logistics management, cybersecurity monitoring, or educational applications. Each agent is governed by enterprise-specific rules, making enterprise AI adoption safer and more scalable across diverse industries.
Real-world Example
One live demonstration showcased how a customer service chatbot built on WisdomMind could support sales teams across multiple projects simultaneously. By drawing from both internal and external data sources – intentionally curated for accuracy – the chatbot reduced cost, optimized resources, and enabled real-time cross-selling. Unlike generic models, this approach ensures reliable, bias-free outputs grounded in business context and validated through the AI strategy framework.
“When designing and developing AI applications, customer-centric always comes first – whether that user is your customer or your employee.” – Ms. Rosy Giang Tran.
Conclusion
Artificial Intelligence is no longer a distant ambition – it is now a defining force for enterprises and societies worldwide. Yet unlocking its full potential requires more than scattered pilots or enthusiasm; it demands structure, governance and trust.
With the AI Strategy & Adoption Framework (ASAF) and the launch of WisdomMind, Kyanon Digital provides enterprises with a practical pathway to move from exploration to enterprise-wide impact. The journey is not just about automation – it is about embedding intelligence into every corner of business operations while ensuring security, accountability and human-centric design.
Looking to unlock the full potential of AI for your enterprise? Contact Kyanon Digital for expert consultation on AI solutions and discover how WisdomMind can boost your business digital transformation journey.