3CLogic Launches Automated QA Engine for Voice AI Performance

The platform moves beyond standard bot metrics by providing plain-language reasoning for its ratings, effectively treating software agents with the same rigorous QA standards applied to human staff. By automating the auditing process, the tool tracks goal completion and resolution rates, offering administrators a clear view of whether their deployments are actually solving user issues or simply deflecting them.

CTO Anshuman Rawat notes that while deployment is straightforward, validating results remains a primary hurdle for enterprises. The Evaluator allows teams to set role-specific benchmarks for different departments, such as billing or IT support, and verifies that backend tasks like ticket updates are completed. This shift from manual sampling to full-scale automated oversight aims to eliminate the blind spots inherent in legacy QA processes, providing real-time, auditable data for contact centers managing high volumes of voice traffic.