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3CLogic today announced the launch of AI Agent Evaluator, an automated quality assurance and scoring engine built into its Voice AI Hub to help enterprises evaluate the performance of conversational AI agents at scale.
The new capability automatically scores 100% of Voice AI interactions using configurable metrics such as resolution, goal completion and interaction quality. It also provides plain-language explanations behind each score, allowing organizations to understand why an AI interaction received a particular rating without manually reviewing transcripts.
Automated QA for Every AI Interaction
As enterprises increasingly deploy Voice AI across service desks and contact centers, organizations face a growing challenge: determining whether AI agents are actually delivering the outcomes they were designed to achieve.
Traditional QA processes often rely on manual sampling or exporting AI transcripts into tools designed primarily for human-agent evaluations. 3CLogic’s AI Agent Evaluator is designed specifically for AI-driven conversations, enabling organizations to continuously monitor agent performance.
“Deploying Voice AI agents is relatively easy, but knowing if they are actually resolving issues or deflecting a live call to the satisfaction of the caller is the real challenge,” said Anshuman Rawat, CTO at 3CLogic. “AI Agent Evaluator replaces the guesswork and black-box metrics with objective, auditable scores at scale.”
Custom Evaluations for Different AI Agents
The platform allows administrators to create role-specific evaluation criteria for different Voice AI agents.
For example, an AI agent handling IT support can be evaluated against different success criteria than one managing billing inquiries. This enables organizations to establish customized performance standards based on each agent’s specific responsibilities.
The system can also validate whether required backend actions were actually completed, such as submitting a service case or updating a ticket, rather than relying solely on what was recorded in the conversation transcript.
Key Features of AI Agent Evaluator
3CLogic highlighted several capabilities within the new solution:
- 100% QA coverage: Automatically evaluates every Voice AI conversation instead of relying on manual sampling.
- Role-specific evaluations: Allows organizations to create customized performance criteria for individual AI agents.
- Automated task validation: Confirms that required system actions are completed during an interaction.
- Plain-language reasoning: Explains the factors behind each AI performance score.
- Performance dashboards: Provides visual insights into AI agent performance and trends over time.
Improving Accountability for Voice AI
The launch comes as enterprises move from experimenting with conversational AI toward deploying Voice AI in customer-facing and internal service operations.
By bringing automated evaluation directly into its Voice AI Hub, 3CLogic aims to give organizations greater visibility into whether AI agents are resolving issues effectively, completing required tasks and delivering consistent experiences.
The AI Agent Evaluator is now generally available to all Voice AI Hub customers, adding another capability to 3CLogic’s expanding Voice AI platform following its recent introduction of outbound AI agents.
