# AI Agent Evaluation

AI Agent evaluation is the systematic process of assessing the performance, safety, accuracy, and business impact of AI Agents — both before deployment via simulation and testing, and in production via continuous monitoring of live interactions. Effective evaluation goes beyond checking whether an agent gave the right answer: it assesses response relevance, factual grounding, tone appropriateness, compliance with guardrails, task completion accuracy, and handover quality. NiCE Cognigy's Agent Evaluation platform uses LLM-based evaluation against configurable quality parameters, enabling enterprises to assess AI Agents at scale across thousands of interaction scenarios — providing the confidence needed to deploy AI in regulated, high-stakes customer service environments.

For enterprise teams, AI Agent Evaluation matters because real-world outcomes depend on how the capability is integrated, governed, and measured — not just on the underlying technology. Effective evaluation goes beyond checking whether an agent gave the right answer: it assesses response relevance, factual grounding, tone appropriateness, compliance with guardrails, task completion accuracy, and handover quality.

## Key Points

- Systematic pre-deployment testing and continuous post-deployment monitoring of AI Agents
- Evaluates response accuracy, tone, guardrail compliance, and task completion
- Uses LLM-based evaluation to assess quality at scale across thousands of scenarios
- Enables multivariate testing of different prompts, models, and configurations
- Provides the assurance required for deploying AI in regulated contact centre environments

### See how it works in action

- [Watch the demo](https://www.youtube.com/watch?v=U87psHIQF3w)
- [Speak with an expert](/content/contact-us/index.html)
- [Explore Solutions](/content/solutions/ai-agents/index.html)
- [Explore Platform](/content/platform/cognigy-ai/index.html)