IndiaFinance and insurance2026 – ongoingBank of India
Project Aditya AI workflows and mule-account detection
Bank of India reported 31-32 AI use cases under Project Aditya
Problem
Bank of India needed to process customer applications and monitor lending risks. Identifying accounts used to move illicit funds was another operational task.
Approach
The bank ran Project Aditya internally across underwriting, customer onboarding and collections. Executive director Rajiv Mishra said its mule-account detector distinguished suspicious accounts from normal accounts. Officials reported 31-32 use cases already operating.
Results
Takeaway
The reported count described deployment breadth. The bank did not disclose detection accuracy or measured operating savings.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Finance, risk and legalProduction and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Bank officials described operational AI applications under Project Aditya. Mishra confirmed mule-account detection, while officials reported 31-32 existing use cases separately from expansion plans.
Full details are in the original sources.