Solution

    Know how your AI agents perform in production

    Continuously evaluate AI responses and workflows for accuracy, relevance, policy compliance, task completion, and customer experience — using the same scorecards you apply to human work.

    For AI and engineering teams

    What gets evaluated

    AI-agent conversations

    Full production conversations, turn by turn, against your quality bar.

    LLM answers

    Correctness, relevance, completeness, and tone of individual responses.

    Hallucinations

    Claims unsupported by your knowledge base or the conversation context.

    Tool execution

    Whether the right action was taken, with the right inputs, in the right order.

    Task completion

    Did the agent actually resolve the request, or defer and hand off?

    Policy adherence

    Disclosures, escalation rules, refusal behaviour, and prohibited content.

    Why teams evaluate agents this way

    Production, not benchmarks

    Evaluate real traffic against your standard instead of generic eval sets.

    Same standard as humans

    Compare AI and human handling on the same scorecard.

    Regression visibility

    Score trends show when a prompt or model change degrades quality.

    Evidence for every failure

    Each miss points at the exact turn that caused it.

    See what Kynesis can uncover in your customer interactions and AI systems.

    Explainable evaluationQuality intelligence