Tamilnad Mercantile Bank uses agentic AI to automate finance, HR, and customer service
Tamilnad Mercantile Bank· IndiaOracle Fusion Cloud ERP · Oracle Fusion Cloud HCM · Oracle CXTamilnad Mercantile Bank unified finance, HR, sales, and customer service on Oracle Fusion Cloud Applications, chosen for embedded agentic AI capabilities. Expense management, customer service, and payroll are now fully automated, and employees handle twice as many service requests in half the time.
Overview
Tamilnad Mercantile Bank unified finance, HR, sales, and customer service on Oracle Fusion Cloud Applications, chosen for embedded agentic AI capabilities. Expense management, customer service, and payroll are now fully automated, and employees handle twice as many service requests in half the time.
This entry has 15 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Tamilnad Mercantile Bank sought a way to connect and automate its core finance, HR, sales, and customer service systems, as the underlying data lived on separate servers.
The solution
The bank chose an integrated suite of Oracle Fusion Cloud Applications—Oracle Fusion Cloud ERP, Oracle Fusion Cloud HCM, and Oracle CX—for their embedded agentic AI capabilities and automatic quarterly updates.
Reported business value
Expense management, customer service, and payroll are now fully automated, and employees are handling twice as many service requests in half the time; this has helped the bank cut operational costs, prepare for further AI adoption, and provide better experiences for both employees and customers.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other financial services entries in the register.
Navy Federal Transforms Service With AI
Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.
Navy Federal Credit UnionDatabricks
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
bunq· NetherlandsAmazon Bedrock · AWS CloudHSM · AWS Security Hub +1TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
TBC Bank· GeorgiaDatabricks Platform · Lakebase · Databricks Apps +4ING Bank transforming operations through agentic AI
ING Bank is running multiple AI projects across operations, governed centrally under its COO. Live/early-production efforts include a retail chatbot, AI-driven identification of hidden affluent clients for marketing, AI-assisted transaction monitoring that helps investigators close standard alerts faster and focus on risk, and a customer due diligence (KYC) redesign that uses existing public and behavioural data to auto-answer most of a roughly 100-question review, cutting due diligence from days or weeks to seconds. ING is also developing agentic AI to handle mortgage applications end-to-end (credit checks, data collection) starting in 2026. ING's COO said AI introduced to an operations process yields a 25% productivity gain, with freed capacity redeployed to growth and more complex work, and its CTO described 'conservatively aggressive' governance restricting AI exploration to five areas under COO control.
ING Bank· NetherlandsWas this helpful?
Your feedback helps us improve our use case database