Augment and Automate customer service operations with increased used of macros for routine inquiries. kordinator utilizes machine learning algorithms to map the most suitable answer to the customer service rep, for expedited resolution of customer inquiries.
kordinator has developed AI models for front-end customer services that make policy acquisition faster and keep policyholders more “engaged” with insurers, thereby encouraging customer loyalty, retention, and loss mitigation.
Working with large academic institutes, the kordinator team has developed service-engagement models for benefits center operations. Using these models, benefits centers are able to increase operational efficiency, without the need to increase staff.
Predicts the most relevant resolution and regulatory steps for case management.
Reduces operational calls and promotes higher customer satisfaction.