Real Stories from Banking Professionals

Michael Chen

Risk Assessment Manager

8:42

The explainable ML framework completely transformed how we approach risk assessment. Our team can now understand every decision the model makes, which is crucial for regulatory compliance.

Michael shares his experience implementing bnfast's solutions at a major commercial bank in Ho Chi Minh City. He discusses the learning curve, training process, and the dramatic improvement in their audit readiness. The interview covers specific examples of how transparency in ML models helped them identify potential risks that traditional methods missed.

Implementation was surprisingly smooth. The training programs helped our analysts understand machine learning concepts without overwhelming technical jargon.

Sarah discusses her team's transition from traditional banking analytics to AI-powered decision making. She emphasizes how the educational approach made the technology accessible to staff with varying technical backgrounds. Her testimonial includes specific metrics showing improved processing times and decision accuracy.