5 Ways AI Is Transforming Human Resources

As Human Resources (HR) leaders focus on optimising the union of digital and human work, one priority becomes clear: to develop an eloquence in the field of Artificial Intelligence (AI), while they readdress how HR can be more instinctive, human, and personal.

Whereas only 37% of organisations have implemented AI in some form, it is predicted that the global artificial intelligence software market will grow approximately 154% year-over-year.

So, whether you’ve already invested in AI, or are thinking of doing so, we’ve found some examples of how AI is being used to transform HR workflows.

 

1. AI enhances the candidate experience with smart digital forms

For HR teams to successfully connect companies with employees and candidates on a personal level, they should leverage scalable, AI technology. This is where companies see important, measurable, and instant results in reducing time to hire, increasing recruiter productivity, and delivering a seamless, enhanced candidate experience.

For instance, companies traditionally call for candidates to re-enter the same information throughout the new-hire journey. Due to this task’s repetitive, redundant nature, candidates may be left with a poor impression. Companies are using AI to help candidates transfer information from their resumes to smart digital forms to help reduce the tedium. This way, candidates can more efficiently complete and submit their applications, enabling them to have a more positive application process.

Additionally, the companies that prioritise the candidate experience for their recruiting operations have invested in AI to help them scan a candidate’s previous work experience and interests. In doing so, businesses can more effectively match a candidate to roles that are suited for them.

 

2. Data-backed resources and decision-making

Artificial intelligence also gives HR professionals data-backed insights and resources that are collected directly from employees. This, in turn, allows HR to respond and deliver the employee experience that the workforce desires; consequently reducing turnover and boosting employee engagement.

In light of the pandemic, it is more crucial than ever to connect employees at all levels within an organisation. With AI, companies can connect an entire employee community and better understand what their needs are. Once their needs are established, HR teams can then quickly and consistently implement a more satisfactory employee environment.

 

3. Improving employee engagement with Chatbots

AI-backed Chatbots enable both the employee and HR professionals to keep their engagement conversation going. Chatbots help gauge employee engagement by measuring and analysing employee sentiment on a day-to-day basis.

Because Chatbots provide a natural, human-like mode of communication, employees are more likely to engage in personalised conversations with them. This helps HR to better gauge the specific concerns, wants, and needs of the employee, once conversations are analysed and leveraged.

Chatbots thusly empower HR teams to understand employee sentiment, which allows them to address any potential barriers. This way, they can prove to employees that their opinions and voices matter, which boosts engagement and reduces turnover.

 

4. Driving workforce analytics

As more organisations turn to workforce analytics and planning, AI and machine learning are becoming more apparent. Using real-time analytics, for instance, can demonstrate the impact that absences, unplanned schedule changes, and open shifts will have on key performance indicators.

Moreover, AI enables HR managers to more effectively solve problems and can lead to better decision making that affects organisational and employee success. This way, HR teams can address and avoid issues before they even arise.

 

5. Leveraging enterprise workforce data

With AI, HR can leverage transactional workforce data to estimate employee potential, success, flight risk, fatigue and even overall engagement. This enables more productive conversations between teams, to improve the employee experience as well as employee retention and performance.

As such, AI can be leveraged to:

 

• Build smarter, more personalised schedules
• Review time-off and shift-swap requests in real-time
• Complete repetitive administrative requests

This not only empowers employees to take better control over their work/life balance but also unburdens managers to spend more time on big-picture tasks like working with customers and training teams.