eGain Targets AI Accuracy With Evaluator Launch

eGain has launched eGain Evaluator, a tool designed to monitor and test the quality of AI-generated customer responses across search, self-service, and AI agent interactions. It is intended for organizations where inaccurate or non-compliant answers could create regulatory, financial, or reputational risk.

The system addresses challenges that arise as enterprise AI scales, including drift in model responses, outdated compliance language, and gaps in underlying knowledge. It provides a structured approach to evaluating AI performance before deployment and continuously in live environments.

Capabilities include:

• Test Management – build and run test sets against AI knowledge configurations before go-live
• Quality Management – monitor live interactions continuously, scoring AI-generated answers against defined criteria
• Performance Management – track quality trends over time, connect answer gaps to specific knowledge issues, and give teams the data to prioritize fixes and report progress

The tool also links answer quality issues back to knowledge sources, helping teams identify and address root causes and validate changes before release.

The platform is aimed at regulated industries such as financial services, telecommunications, and insurance, where accuracy and compliance are critical. It also supports benchmarking when organizations update or switch AI models.

Author: Robyn Coppell

Reviewed by: Megan Jones