Case Study: Bank of India achieves 20% audit cost savings and complete data coverage with ACL Data Analysis for Teams

Bank Of India Operational Insight Through Improved Data Analysis

Bank of India, a large national bank with over 3,200 branches and 41,000+ employees, faced inefficient, branch-based audits that relied on manual sampling and left many branches unreviewed for 12–18 months. During a major migration from legacy systems to a new core platform, the bank needed faster, more complete insight to reduce operational risk, revenue leakage and potential fraud.

By implementing ACL Data Analysis for Teams with training and implementation support, Bank of India centralized full-population data analytics, verified legacy data, and automated repeatable exception reports. The change cut on-site audit spending by at least 20%, recovered lost revenue, reduced fraudulent and erroneous transactions, improved audit confidence and coverage, and delivered a strong ROI.

Bank of India

A.K. Mahajan

General Manager