Human Resources (HR) has transformed significantly with the advent of data and new technologies. HR teams need to develop and implement effective strategies to find, hire and retain excellent talent to be successful. Artificial Intelligence (AI) and Machine Learning (ML) allow HR teams to capitalize on employee data to make the best decisions. An AI-enabled HR management system can empower HR teams with powerful insights into the work environment while delivering a personalized experience for employees that cater to their needs. Let us take a look at some of the key applications of AI in HR management. 

Finding the right talent is one of the main challenges HR teams face. AI & ML can be used to identify recruitment candidates based on certain job criteria. ML can be used to evaluate job applications to identify desirable experiences and skills. Furthermore, it can search candidate data on recruitment websites to identify potential matches. AI-Chatbots can execute preliminary tasks such as making initial contact with potential candidates, gathering candidates’ job histories, conducting online assessments, etc., which can allow HR professionals to focus their attention on the best candidates. AI can keep candidates informed on the status of their applications and answer any basic questions. 

AI-powered automation can alleviate the administrative burden HR teams face from repetitive labor-intensive routines & repetitive tasks such as data entry, scheduling candidate calls & interviews, employee paperwork, and so on. AI can complete these essential, albeit tedious, tasks with a high degree of accuracy and consistency. AI can also evaluate HR & administrative documentation. For example, it can assess documents submitted by employees to verify their completeness and accuracy, which can save both the HR teams and employees valuable time. 

AI assistants can respond to employee queries related to HR topics such as absences, vacation, benefits, payroll, wages, and more. The AI assistants can serve as an easily accessible knowledge base for all the HR and legal information employees should be informed about. 

Businesses use company-wide training platforms to onboard new employees, acclimate employees to new roles, and provide upskilling for professional development. AI can monitor employee progress through training programs and personalize the learning process by identifying any additional support or resources the employee needs. Furthermore, AI can monitor training performance factors, such as completion rates, training assessment scores, employee feedback, etc., and determine potential issues in how the training program is structured. A company-wide training program is only as meaningful and cost-effective as the value employees derive from it. A well-designed AI-based training platform will be able to effectively take into account both the employee’s professional development goals and the company’s skills requirements. 

Effective performance management is essential for businesses to develop employee capabilities and retain vital talent. AI tools can autonomously execute performance evaluations and collect employee feedback to gauge employee performance, engagement, and job satisfaction. ML can generate insights into reasons for employee dissatisfaction, underperformance, and resignations, and it can recommend effective strategies such as introducing team-building activities, increasing advancement opportunities, restructuring incentives, and so on. 

AI can also improve employee mobility by minimizing human bias during performance evaluations. Additionally, it can leverage performance & training data to identify high-potential employees who are ready to be promoted to certain specialized roles and fill in critical skills gaps.