MB Bank

Expertise

• AI strategy for Sales & Marketing
• On-premise AI analytics deployment
• Real-time analytics & insight automation
• Governance-aligned AI implementation
• AI product development in Vietnam

Overview

Accelerating analytics inside a bank that can't move its data

MB Bank (Military Commercial Joint Stock Bank) ranks among the top 5 banks in Vietnam, consistently 2nd–3rd among joint-stock commercial banks by asset size, digital maturity, and business efficiency.

The bank aimed to accelerate its Sales & Marketing analytics while staying strictly compliant with internal security and regulatory requirements. It had already deployed a Customer Data Platform, but couldn't fully use it: all customer data had to remain on-premise, so pushing sensitive data to a cloud CDP was off the table — capping optimization, insight, and execution.

CoderPush implemented Presight.ioas an on-premise AI analytics layer — unlocking data-driven decisions without moving a single record outside MB Bank's infrastructure.

Challenge

Compliance-first constraints that blocked every cloud shortcut

• Customer data could not be transferred to external cloud systems, due to security and compliance policy.
• Sales & Marketing teams couldn't extract timely, strategic insight from on-premise data.
• The Data Analytics team carried the full burden of manual reporting and cross-department analysis.
• Non-technical users depended heavily on technical teams for every dashboard and report.

The bank needed an AI solution that was:

• Fully on-premise
• Compliant with internal governance standards
• Non-hallucinating — grounded strictly in verified data
• Scalable nationwide

Solution

Presight.io, deployed 100% inside the bank

As an AI-first development company, CoderPush prioritized a secure architecture that integrates with the bank's existing Data Warehouse while holding strict internal data boundaries — fully aligned with MB Bank's security policies and digital roadmap.

Architecture & deployment

• Deployed entirely within MB Bank's infrastructure
• Integrated directly with the existing Data Warehouse
• No data movement outside internal systems
• Real-time analytics enabled

AI & analytics capabilities

• Natural-language analytics for business users
• AI-generated dashboards and reports based strictly on verified internal metrics
• Event-triggered insights and action recommendations, integrated with other systems
• Non-hallucinating model behavior — all outputs grounded in validated DA definitions

Who it served

• Data Analytics team — reduced reporting workload, automated insight generation, centralized metric governance.
• Sales & Marketing (non-technical) — self-service dashboards, AI-assisted recommendations, campaign initiation from real-time analytics.

Tech & capabilities

Outcome

A secure, enterprise-grade AI analytics foundation

• Nationwide deployment across MB Bank.
• Sales & Marketing can operationalize AI-driven insight without breaching compliance.
• Reporting burden on the Data Analytics team significantly reduced.
• Non-technical users generate insights and dashboards independently.
• Non-hallucinating AI outputs, verified by MB Bank's in-house DA team.
• A scalable, secure foundation aligned with long-term digital transformation goals.