Vietnam Maritime Bank (MSB) said it achieved a 200% improvement in loan approval speed using FICO’s decisioning capabilities, implemented in partnership with regional technology specialist Blitz in just 10 months.
By reducing loan turnaround time from 30 to 15 minutes, the solution is already reshaping how MSB serves its more than eight million retail customers and nearly 100,000 business clients.
The intelligent decisioning system combines AI and machine learning models with rule-based decisioning to automate and standardize credit approval processes, dramatically reducing manual error rates and enabling MSB to bring new digitized lending products to market faster across a range of customer segments.
“The bank can now approve loans with a level of speed and accuracy that was previously unattainable,” said Nguyen Quang Man, deputy chief risk officer of MSB.
“The ability to adapt quickly as market conditions evolve gives MSB a real competitive edge,” said Nguyen.
For a bank operating 260 branches, nearly 400 international correspondent banking relationships, and a workforce of over 7,000 people, the ability to make faster, more consistent credit decisions at scale is a significant operational shift.
FICO’s decisioning capabilities standardize policy rules across the institution, ensuring that every loan assessment reflects the same logic and risk appetite, regardless of channel or product type.
“MSB set out to solve a real business problem: how do you grow your lending book and serve customers faster without compromising on risk?” said Timothy Choon, senior director of FICO in the ASEAN North region.
Choon said the results demonstrate the power of advanced analytics and decision management technology in revolutionizing banking operations.
“MSB’s results prove that when implementation expertise is matched with the right solution, the outcomes for customers, and for the business, are transformative. MSB now has a decisioning infrastructure that can scale with its ambitions,” said Chia Han Meng, CEO of Blitz.














