[TECH DATA SOLUTIONS DAY 2026] Key Takeaways: Strategic Insights on ‘Sovereign AI & Operational Automation’

Read more on this discussion from the Intellectual Property Electronic Magazine: Sovereign AI: When Data Mastery Becomes a Competitive Capability

The session addressed the biggest challenge organizations face when adopting AI: the risk of data leakage and the problem of legal compliance. It also clarified the true nature of Sovereign AI, along with the real-world applications and results of the Sovereign AI platform TopAgent IC.

1. The Urgency: Why Do Organizations Need Sovereign AI?

Integrating AI into core systems faces 4 main barriers:

• Data sources: Organizations lack large, standardized datasets with enough depth to train models. Internal knowledge is stored in fragmented ways, making it hard to search and use.
• Cost: The investment budget for GPU hardware, storage infrastructure, and ongoing power consumption is very large.
• Rate of obsolescence: Algorithms are developing so fast that organizations easily fall into a cycle of continuous technology upgrades.
• Security risk: Depending on external APIs creates a risk that business information, critical data, and trade secrets leak into the training of third-party AI models.
• Compliance with Vietnamese law on cybersecurity and information security.

“Sovereign AI” was created to solve these problems by establishing clear digital boundaries. A Sovereign AI platform is set up on the organization’s own internal infrastructure (on-premise), removing dependence on public AI. The organization has full control over its data and over what AI can access, and all critical actions must pass through human review.

2. Understanding the True Nature of Sovereign AI

In the digital transformation process, “sovereign AI” does not mean building entirely new language models and systems from scratch. Instead, technological self-reliance means mastering 4 pillars:

• Mastery of infrastructure and operations: Full ownership and independent deployment on private server infrastructure (on-premise, private cloud, or air-gapped), tailored to the architecture, processes, and computing capacity specific to each organization or business.
• A proactive multi-model architecture: Flexibly integrating and orchestrating multiple models (LLMs), and switching easily when an international model suffers an outage, is embargoed, or is no longer optimal, so the system keeps running without interruption. The organization can choose the best AI model for each business function on a single platform.
• Mastery of data: Data is stored and processed 100% within Vietnam’s geographic borders. Internal documents and critical data are never shared with international public servers, so ownership of knowledge assets is fully preserved.
• Control over AI’s access rights: AI agents may only access the data and tools they are permitted to use, and sensitive tasks must be approved by a human.

Shaping sovereign AI in this open direction brings a double benefit: businesses can stand on the shoulders of giants to accelerate performance while keeping full control over their internal knowledge and information security. This is the key to using artificial intelligence in a substantive, safe, and optimal way in the digital era.

3. Vietnam’s Sovereign AI Is Following the Right Trend: From Sovereign AI to Agentic AI and Multi-Sector Operational Automation

The Sovereign AI wave is growing strongly worldwide, as many pioneering countries (such as France with Mistral AI, the UAE with Falcon, Japan, and Singapore) establish sovereign AI as a core pillar of security and competitiveness. In step with this trend, Vietnam is also actively building domestic AI ecosystems to protect national data security. Within this picture of transformation, the TopAgent IC solution operates on a Multi-Agent model (a multi-agent system), automating in-depth business processes 24/7. It both optimizes work performance and fully protects the internal knowledge and data of Vietnamese organizations.

4. Agentic AI and TopAgent IC: Shifting from “Q&A” to “Execution”

The real value of AI in an organization no longer lies in generating text, but in the ability to automate business operations. This is the shift from a knowledge repository to “controlled action”, which is the core of an Agentic AI system.

ADT’s TopAgent IC platform is designed on this architecture and integrates a comprehensive set of modules:

• AI Chat & AI Search: Semantic search and information synthesis, with accurate citations of internal reference sources.
• Multi Workspace & AI Drive: Document management in separate, independent workspaces, with multi-source data synchronization and strict access permissions.
• AI Workflow: Lets you flexibly design and automate business processes through a multi-agent orchestration mechanism.

Compared with ordinary personal AI tools, TopAgent IC meets the most demanding organizational standards: secure on-premise deployment, customization for each organization’s business functions, a powerful multi-agent structure, flexible workflow tuning, and above all in-depth understanding of the Vietnamese market, law, and language.

5. Real-World Deployment Benefits

ADT’s solutions have proven effective in real projects across both the public administration sector and the business sector.

For public administration agencies, ADT has improved the work efficiency of civil servants:

Performance metric	Improvement
Document lookup time	Reduced by 80%
Report creation	Reduced by 60%
Manual workload	50% automated
Time spent on repetitive tasks	90% saved

Thanks to its intelligent processing capabilities, the time needed to complete administrative procedures has been cut from several weeks to a few days, or from several days to a few minutes. The project is continuing to expand to more departments and agencies.

For businesses, Sovereign AI comprehensively supports core operational areas, from management, administration and records, and HR to legal, sales, and communications, helping optimize performance and automate operating processes.

6. The Future of Technology: From Sovereign AI to Multi-Agent Automation

The next shift in organizational AI is a network of connected, independent agents. ADT sketches an ecosystem organized as a matrix: specialized domains (Finance, Healthcare, Manufacturing, etc.) intersect with specialized functional agents (Recruitment, Appraisal, Planning, Procurement, etc.). The internal linkage among these agents will fully resolve even the most complex chains of work.

To maintain output quality as the system scales, ADT applies the RLAIF (Reinforcement Learning from AI Feedback) training method. Instead of having humans score responses manually, the system uses an “AI Evaluator” model to automatically score and rank answers, continuously improving the capability of the generative system. This mechanism helps businesses reduce reliance on manual work and increases training speed exponentially.

Conclusion

The message from INSPIRE 2026 and ADT’s discussion session points to one reality: having a powerful technology platform from global partners is not enough. Businesses need a flexible, secure application layer that deeply understands the local context in order to truly master AI. The TopAgent IC platform offers a comprehensive answer, moving AI from storing knowledge to practical operational automation.

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