Powered by Obase’s advanced AI and data engineering expertise, AssisTT’s quality monitoring processes were redefined—scaling call evaluations from 5,000 to 300,000, reducing costs by 99%, and delivering fast, fair, and objective quality assessments.
AI-Driven Approach in Quality Monitoring
With rising expectations for service quality and operational efficiency, AssisTT aimed to transition to a scalable and objective AI-supported quality assessment system capable of analyzing hundreds of thousands of interactions each month—quickly, accurately, and fairly.
AssisTT’s quality monitoring processes were redefined using the AI solution developed with Obase’s advanced data engineering, NLP (Natural Language Processing), and LLM-based modeling capabilities.
Talin Avakyan Torun
Director of IT Services & Product Development – Türk Telekom AssisTT
“The AI-powered quality monitoring project we implemented with Obase delivered impressive and inspiring examples of how call center auditing processes can be fully automated.”