• AI deployment focus: DCB Bank is leveraging AI across deposits, loans, payments, risk protection, and trade finance, rolling out predictive models for fraud and AML deduplication alongside "Veda," an RM copilot, and agentic AI for customer complaints.
• IT and partnerships: IT represents the single largest component of the bank's non-staff operating expenditure, supporting core infrastructure, cybersecurity, and collaborations such as a 0.5 million card partnership with Niyo that accounts for 2% to 2.1% of total plastic forex spends.
• Customer service automation: The bank has partnered with a fintech to conduct sentiment analysis across 100% of customer service calls in multiple languages, improving complaint classification, employee training, and lower-cost bot responses.
• Data protection compliance: DCB Bank engaged a GDPR-experienced senior resource and a Big Four firm to implement DPDP standards, extending strict personally identifiable information safeguards and customer consent monitoring mechanisms to all material outsourcing partners.
• Long-term cost dynamics: Routine manual decisions and staffing costs are expected to decline as machine automation increases, offsetting rising investments in cybersecurity, privacy protection, and software token costs for an overall positive impact on productivity.