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Polyosync Analytics allows businesses to examine available performance data for individual AI Employees. This is useful when a company uses multiple AI agents with different responsibilities. For example, one AI Employee may support customer enquiries, while another assists with internal operations. A business may want to understand the activity associated with each employee without treating them as interchangeable. How can I examine an individual AI Employee? Open Analytics in your business dashboard. Use the AI Employee selector to choose the employee you want to examine. The interface also supports a whole-workspace view. You can select an available reporting period and business category to examine the relevant information. Can I compare different periods? Yes. Analytics supports several reporting windows, including 7 days, 30 days, 90 days, and 12 months. These options allow you to examine available information over different periods. Does Polyosync provide a single ranking of all AI Employees? The Analytics interface supports individual employee filtering, but this should not be confused with a guaranteed universal ranking that identifies the best AI Employee across every business function. Different AI Employees may have different objectives. A customer service AI agent and an internal operations AI Employee should not necessarily be judged using identical metrics. What should I consider when evaluating performance? Start with the AI Employee's assigned responsibilities. For customer-facing AI Employees, review relevant conversations, response quality, and applicable handoff activity. For operational AI Employees, review available execution outcomes, errors, and the activities they support. Where relevant analytics data exists, examine performance indicators that align with the employee's responsibilities. Can I use these insights to improve my AI workforce? Yes. A business can review available evidence, identify areas requiring improvement, and adjust relevant knowledge, instructions, or processes. Polyosync provides individual AI Employee analytics views alongside broader operational history, helping businesses evaluate AI agents according to their actual responsibilities rather than relying solely on conversation volume.