AI Performance Review Agent

AI performance review agent that gathers feedback, analyzes performance data, and creates fair, structured reviews with actionable development insights.
June 26, 2026
01:00 PM - 02:30 PM (Eastern Time)
Duration: 1 Day
Hours: 1 Hour 30 Minutes
Training Level: All Levels
Virtual Class Id: 55289
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

AI Performance Review Agent is a hands-on course that teaches you how to design intelligent systems that automate and enhance employee performance evaluations. Traditional performance reviews can be time-consuming, inconsistent, and prone to bias. This course focuses on using AI to streamline the review process, improve objectivity, and generate meaningful, data-driven feedback for employees and managers.

You will learn how to define performance metrics, collect and structure data from multiple sources such as KPIs, feedback, and project outcomes, and use AI to analyze employee performance. The course covers building workflows that generate performance summaries, highlight strengths and areas for improvement, and support goal-setting and development planning. You’ll also explore how to create continuous feedback systems and automate review cycles.

Additionally, the course emphasizes ethical considerations, fairness, transparency, and responsible use of AI in HR processes. By the end of the course, you will be able to build an AI performance review agent that delivers consistent, actionable insights, reduces administrative workload, and supports better talent management and employee growth.

Course Objectives:

  • Understand the performance management lifecycle and the role of AI in automating employee evaluations
  • Learn how to define performance metrics, KPIs, and competency frameworks for different roles
  • Design workflows to collect and structure performance data from multiple sources (e.g., KPIs, feedback, project outcomes)
  • Use AI tools to analyze employee performance and identify trends, strengths, and improvement areas
  • Build systems to generate clear, consistent, and data-driven performance summaries
  • Develop AI-assisted feedback that is constructive, personalized, and aligned with organizational goals
  • Create goal-setting and development plans using AI-driven insights
  • Automate performance review cycles and continuous feedback processes
  • Apply techniques to reduce bias and ensure fairness in AI-generated evaluations
  • Validate and refine AI outputs to maintain accuracy, transparency, and reliability
  • Combine human judgment with AI capabilities to support better talent management and employee development

Who is the Target Audience?

  • HR managers

Basic Knowledge:

  • HR fundamentals

Curriculum
Total Duration: 1 Hour 30 Minutes
Feedback Aggregation
Report Writing
Development Planning