Artificial Intelligence (AI) and analytics technology can efficiently automate complaint identification and classification and operationalize the remediation process, demonstrating compliance to regulators. It does this by using models that have been trained and tuned specifically to analyze interactions for consumer complaints for regulatory markets. For these models to be accurate, they need to use a large quantity of training data that is specific to the industry complaint data, along with the data science expertise. Enlighten AI for Complaint Management uses AI and machine learning derived from more than 20 years of research and development and industry experience as well as the most comprehensive and expansive interaction dataset in the world. It uses purpose-built AI models to consistently and accurately identify and classify every digital and voice interaction that contains a complaint as well as automate the remediation process.
Proactive Strategies for Using AI to Manage Consumer Complaints
