APPLICATION DEVELOPMENT

High-value automated services for the financial and insurance industry include AI-powered customer support, personalized digital financial assistants, and modern mobile apps and web portals. AI-based cybersecurity helps to detect and mitigate fraud. Applied to back-office processes, AI and ML can increase efficiency and reduce costs.

USE CASE

Competing effectively with financial services upstarts demands continual improvement to the customer experience. For example, conversational AI, chatbots, and digital financial assistants help to resolve issues quickly, avoid human error, and contain costs. By applying analytics and ML to vast data stores, financial services companies can identify opportunities and fraud. Data sources include transaction data, customer profiles, compliance processes, insurance claims, and market exchanges, etc. Blockchain solutions help to reduce fraud while speeding up cross-border payment settlement .

WORKFORCE OPTIMIZATION

Financial services companies see high value from modernizing call centers and other customer-facing areas. Automation, standardized processes, smart technologies, and advanced analytics improve call center agent productivity and customer satisfaction, fending off disruption from digital-native upstarts.