AI is assisting the HR teams throughout the recruitment and onboarding processes ranging from searching the probable candidates to helping the new hires with training programs.
FREMONT, CA: Amidst several business challenges and situations, companies are often concerned about how to engage their employees better. Engaged employees are analogous to prized assets to a company. Their morale and productivity are high, and they act in accordance with the company’s best interests. Moreover, engaged employees are not particularly moved when bombarded with recruiter’s call as they see their future in their current team and position. However, keeping employees engaged can be a daunting task. This is where artificial intelligence (AI) comes into play.
Role of AI in Employee Engagement
AI apps and programs are already turning out to be intelligent assistants in our lives. They are also gaining popularity in corporate spaces. AI's algorithms enable them to learn as they process volumes of data increasingly while allowing the businesses to streamline processes, provide better predictions, interpret data better, and cut down on costs.
Low work engagement has its root cause mainly in employee’s personal issues, workplace environment, and physical and mental problems. Clear communication, employee assistance programs, employer branding status, and employee recognition schemes are some of the measures to maintain high levels of employee engagement in an organization. AI has the capability to assist HR managers with the above-mentioned tasks.
AI’s Role in Recruitment and Onboarding
AI tools can help an organization with recruitment processes ranging from utilizing the job description to searching the probable candidates based on their social media profiles, reference letters, and other information. The procedure is both strenuous and time-consuming when carried out manually. However, AI-driven programs can help the recruiters to communicate with potential candidates about the result of their application, thereby saving crucial time for the managers.
Newly recruited employees often bombard HR departments with questions related to holidays, payments, social benefits, and their general rights. Answers to these questions can be time-consuming and redundant for HR specialists. However, AI can tackle the issue with the aid of increasingly intelligent chatbots. With the help of the chatbots, new hires can come to terms with the work environment even before day one in the company, citing a good impression and eliminating the hassles of redundant conversations for the HR teams.
AI programs for Knowledge Sharing and Communication
AI can collect data as per the needs and feedback of the individuals an assist in providing personalized solutions to the employees. It can also assist HR managers in monitoring employee engagement. Depending on the information, HR can decide on how to better re-engage an employee by proposing an assignment to a new project, adding new responsibility or changing teams. Opportunities enable the top performers to feel continuously challenged and thus to remain engaged.
Using AI chatbots, employees can easily access information related to strictly HR matters such as an insight into an internal knowledge sharing hub or the company’s leave policy where they can easily find contacts, colleagues, and procedures without getting into the hassles of browsing through multiple databases to achieve what they need.
AI for Managing Rewards and Benefits
AI program allows tracking of employee’s attendance, work performance, voluntary projects illnesses as well as their personal goals within the organization. AI can then coach the employee and recommend the training to develop and improve his skills. It can also inform about a new project in which an employee can participate and communicate and allocate a reward.
Creating a chance and giving feedback to develop within the organization is one of the primary strategies HRs is employing these days. Using an automated program that can predict certain behaviors, keeping and re-engaging employees can become easier in the future, and their resulting aftermaths in terms of engagement or productivity can also be measured by the same software.
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