Voice Agent Judges
Voice agent judges deliver rapid assessments of about agentic call handling. Gridspace architecture, which separates LLM-based judges from core dialog policies, ensure objective, fast feedback to AI stakeholders.
Companies use voice agent judges to close the gap between engaging demos and robust production voice agents. Voice agent judges on Gridspace run across on both live agent and virtual voice agent conversations.
Read more about playbooks in our docs.
Why use integrated voice agent judges?
Transparent: AI stakeholders can see the objective criteria, metrics and results for every voice agents.
Time To Value: Voice agent judges can process pilot conversations in real-time, reducing delays from manual review ahead of a launch.
Output Flexibility: Voice agent judges can be instructed to output their judgements in specific formats for developer or business consumption.
Efficient: Voice agent judges on Gridspace leverage the platform's AI and data infrastructure, so you avoid paying for new tools, models and security checks.
Transparent: AI stakeholders can see the objective criteria, metrics and results for every voice agents.
Time To Value: Voice agent judges can process pilot conversations in real-time, reducing delays from manual review ahead of a launch.
Output Flexibility: Voice agent judges can be instructed to output their judgements in specific formats for developer or business consumption.
Efficient: Voice agent judges on Gridspace leverage the platform's AI and data infrastructure, so you avoid paying for new tools, models and security checks.