Published 28th August 2026
By Prasad Rao, Lead Solutions Consultant, Teciem
Vietnam’s treasury market is entering a new phase of development.
For much of the last decade, the focus was growth. Market participants concentrated on expanding issuance volumes, developing capital markets, digitizing banking services, and attracting greater investor participation. Today, however, the conversation is changing. Treasury leaders are increasingly focused not on the scale of the market, but on its quality.
At the recent Vietnam Bond Market Interbank Offsite 2026 discussions, a clear theme emerged. As artificial intelligence, digital market infrastructure, and modern treasury platforms mature, Vietnam’s financial institutions are asking a new set of questions. These are not technology questions alone. They are strategic questions about transparency, resilience, governance, productivity, and the future role of treasury itself.
1. Can we automate more decisions without losing control?
For decades, treasury modernization focused on automating processes.
Straight-through processing helped institutions reduce manual intervention, improve efficiency, and support increasingly sophisticated products. Today, treasury leaders are beginning to explore a more ambitious objective: whether technology can support decision-making itself.
Yet the discussion is notably pragmatic. A common view among participants was that technology should support decision-making while keeping oversight in human hands. Institutions are exploring how intelligent systems can help prepare decisions, identify exceptions, perform checks, and surface recommendations while ensuring human accountability remains firmly in place.
The goal is not replacing expertise. The goal is to ensure treasury professionals spend less time on repetitive activities and more time applying judgment where it matters most.
2. Can AI reduce operational workload and improve productivity?
Perhaps the most common question being discussed is how AI can deliver measurable business value.
Treasury teams continue to spend significant amounts of time on repetitive, rules-based activities such as reconciliation, confirmation matching, exception management, data validation, and trade preparation. These processes are essential but often consume valuable operational capacity.
What is changing is the recognition that AI is finally mature enough to support these activities in a meaningful way. Treasury leaders are increasingly evaluating whether digital colleagues can handle routine tasks, explain breaks, prepare transactions, and route exceptions to human teams for review.
Importantly, the discussion has moved beyond experimentation. The focus is now on productivity gains that can be delivered within established controls and governance frameworks. AI is being evaluated less as a novelty and more as a practical tool for improving operational efficiency.
3. Can risk be managed more continuously?
As Vietnam’s financial markets mature, expectations around transparency, resilience, and risk oversight continue to increase.
Many treasury teams still rely on periodic reporting cycles and scheduled reviews to assess exposures and performance. Increasingly, leaders are questioning whether these approaches are sufficient in a market environment where information moves quickly and decision windows are becoming shorter.
The aspiration is to move toward continuous visibility.
That means risk explanations that are available on demand, earlier identification of exceptions, faster interpretation of market information, and improved access to insights across treasury operations. The ultimate objective is not simply generating more data. It is enabling treasury professionals to understand what matters sooner and respond more effectively.
In many ways, this reflects a broader shift in treasury’s role. Treasury is increasingly becoming the intelligence layer of the bank, supporting faster decisions and stronger operational resilience.
4. How do we govern AI while still benefiting from it?
One of the biggest changes over the past year has been the nature of the AI conversation itself.
Previously, many organizations focused on experimentation. Today, treasury leaders are focused on governance. They are asking practical questions. How do we supervise AI? How do we explain its recommendations? How do we audit its actions? How do we maintain accountability?
This is particularly important in treasury and capital markets, where trust, controls, and regulatory compliance are fundamental requirements.
A consistent theme throughout the discussions was that successful AI adoption depends on clear guardrails, lineage, auditability, human oversight, and defined approval processes. The emerging vision is not one of unrestricted autonomy but of governed digital colleagues operating within clearly defined limits.
The institutions likely to gain the most value from AI may not be those that move fastest, but those that balance innovation and control most effectively.
5. How do we build a more intelligent financial market?
The most strategic question extends beyond individual institutions.
Vietnam has made remarkable progress in developing its financial markets. But as market participants highlighted during VBMA, the next stage of development is about creating a market that is more transparent, liquid, trusted, and accessible.
This is where treasury modernization and market modernization begin to converge.
Better information flow, stronger pricing infrastructure, greater investor confidence, improved operational controls, and more consistent risk management all contribute to market quality. Technology, including AI, has an important role to play, but only as part of a broader ecosystem involving banks, regulators, market associations, and infrastructure providers.
The question treasury leaders are increasingly asking is not simply, “How do we modernize treasury?”, it is “How do we help build a more intelligent financial market?”
The bigger picture
Taken together, these questions reveal how much the industry conversation has evolved.
Treasury leaders are no longer focused exclusively on automation, systems, or individual technology projects. They are thinking about productivity, governance, market quality, operational resilience, and trust.
Most importantly, they recognize that the future of treasury will not be defined by bigger systems or more technology. It will be defined by how effectively institutions combine human expertise, trusted data, modern infrastructure, and governed AI to create better outcomes for their organizations and for Vietnam’s financial markets as a whole.
Are you exploring how your organization can build the foundations for a more intelligent financial market?
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