Continual digitalizationdeploying machine learning, rules-based automation and APIs halves processing delays, streamlines lending across expanding branch networks.
How do you redesign a traditional bank’s lending operations so loan approvals feel almost instant, without loosening your grip on credit risk and regulatory control?
Vietnam Maritime Bank (MSB) has been expanding a nationwide network of 260 branches and transaction offices while serving more than 8m retail customers and nearly 100,000 business clients.
On 4 June 2026, the bank disclosed that it had overhauled its loan decisioning system to cope with growing volumes and expectations for near real-time approvals. Historically, loan approvals could take up to around 30 minutes, constraining how many applications staff could process, and thereby limiting the bank’s ability to launch fully-digital lending products.
As MSB scaled, variations in manual review also made it harder to enforce consistent risk policies across branches and channels. To address these issues, the bank implemented an intelligent decisioning platform over a 10‑month period, cutting average loan turnaround to about 15 minutes and standardizing the logic behind approvals. The new setup is designed so risk and business teams can update policies centrally, then push changes out across products without heavy recoding.
Key elements of the solution include:
- Use of machine learning models to assess credit risk and propensity to default
- Rules-based decision flows to encode credit policy and regulatory constraints
- Centralized governance of decision logic across products and channels
- Automated data checks to reduce manual errors and rework
- APIs to embed decisioning into digital lending journeys
Said the bank’s Deputy Chief Risk Officer, Nguyen Quang Man: “The bank can now approve loans with a level of speed and accuracy that was previously unattainable, giving us more room to adjust as market conditions evolve.”
According to Timothy Choon, Senior Director (ASEAN North), FICO, the technology vendor in the digital transformation: “MSB set out to solve a very clear problem: how to grow lending and serve customers faster without compromising risk, and the results show what advanced analytics and decision management can do for banking operations.”
