| Task | Human HR Appraisal Manager | AI HR Appraisal Agent |
|---|---|---|
| Performance Data Collection | Manually collects performance data from managers, peers, and self-assessments, which is time-consuming and prone to bias. | Automates performance data collection by integrating with HRMS, project management tools, and feedback platforms for comprehensive data. |
| Appraisal Form Processing | Manually processes appraisal forms, ensuring completion and accuracy, which requires significant effort and coordination. | Automates appraisal form processing using NLP, validating entries and ensuring completeness via HR system integration. |
| Performance Evaluation | Manually evaluates employee performance based on subjective judgment, feedback, and metrics, which can be inconsistent. | Evaluates performance using AI algorithms, analyzing objective metrics and feedback to reduce bias and ensure consistency. |
| Employee Communication | Engages employees via meetings or emails to discuss appraisal results, providing personalized feedback and support. | Automates routine appraisal communications (e.g., result notifications, feedback summaries), but lacks human empathy for sensitive discussions. |
| Goal Setting | Manually collaborates with employees and managers to set performance goals, relying on experience and discussion. | Recommends performance goals using AI, analyzing job roles, past performance, and organizational objectives for alignment. |
| Compliance Monitoring | Manually ensures appraisals comply with company policies and labor regulations, requiring expertise and research. | Integrates with regulatory and policy databases to automatically ensure compliance, flagging issues in real-time. |
| Feedback Analysis | Manually analyzes feedback from appraisals, summarizing trends and insights, which can be time-intensive and subjective. | Analyzes feedback using AI and sentiment analysis, identifying trends and patterns across large datasets in real-time. |
| Performance Reporting | Manually prepares appraisal reports for stakeholders, summarizing metrics like performance ratings, which is time-consuming. | Generates real-time appraisal reports with visualizations, pulling data from HR systems for stakeholder updates. |
| Dispute Resolution | Manually resolves disputes over appraisal outcomes, negotiating with employees and managers using interpersonal skills. | Flags potential disputes using AI analysis, automating initial responses, but lacks human finesse for complex resolutions. |
| Performance Trend Forecasting | Manually forecasts performance trends based on historical data and experience, which can be subjective. | Predicts performance trends with high accuracy using machine learning, analyzing historical data and workforce patterns. |
| Compensation Recommendations | Manually recommends salary adjustments or bonuses based on appraisals, relying on judgment and market knowledge. | Provides data-driven compensation recommendations, analyzing performance, market rates, and budget constraints via AI. |
| Process Optimization | Manually identifies inefficiencies in appraisal processes, relying on experience, which may miss data-driven insights. | Analyzes appraisal processes using AI, identifying bottlenecks and recommending optimizations based on data patterns. |