Spotlight on AI Quality Management and introducing Scoring Improvements
Many organizations are exploring how AI can be used to evaluate 100% of queue calls for quality assurance. However, questions often arise regarding oversight—both of the AI’s decisions and supervisors’ roles in the process. With recent usability enhancements in our AI Quality Management features, supervisors can now review, adjust, and validate AI-generated call evaluations. This creates multiple layers of oversight, helping to ensure fairness and transparency in the quality management process. These tools make it easier to identify opportunities for coaching, maintain high standards in customer interactions, and support trust in the evaluation process among teams. Additionally, these enhancements are designed to support compliance requirements and provide comprehensive reporting, allowing HR departments better visibility and confidence in the use of AI for performance management. Key Details on Scoring Improvements: In the past, results from unwanted evaluations were included in overall dashboard metrics, and there was no visibility into which evaluations received a human review. With new discard/approve options and filtration users enjoy cleaner views into results. Actions for fast acceptance of scores Convenience filter for yes/no question scores Streamlined feedback UI for cleaner workflow Visibility into the user who last changed a score, on hover In-app information for clarity on how feedback is used by the system Ability to formally approve or reject evaluations New approval and discard workflows Confirmation and visibility into who approved/discarded Ability to undo/update statuses New filtration to analyze evaluations by status More details on AI Quality Management can be found here. If you’d like to learn more or enable these tools, you can visit the GoTo Connect self-service portal and add AI Quality Management to your existing GoTo Contact Center Complete product. Questions or comments? Please let us know in the comments section.
