Today, let’s look at the bigger picture – how AI has the potential to be a game-changer in addressing the many challenges around overall employee engagement.
 

Artificial intelligence is already used in HR for various uses, including recruiting, onboarding, career-pathing, training, performance assessment, and more.
 

One of the most promising and exciting opportunities for the further use of AI is employee engagement.
 

Combining the power of AI with employee engagement practices can change the way businesses approach engagement, giving insights into how their employees feel and how their thinking may evolve over time.
 

With the right structure in place, HR professionals won’t need to spend hours analyzing and interpreting complex data. Using AI will allow them to devote more time to building robust strategies to improve engagement and foster lasting relationships.
 

AI can be used in many aspects associated with employee engagement, including talent retention through predictive behavior models, identifying training and development opportunities, and in the recognition and rewards arena.
 

Most HR professionals will agree that handling employee benefits, rewards, and incentives can be tedious. This is where AI can help by making the entire process more efficient and optimize the benefits based on each employee’s performance.
 

With AI, managers can better understand what incentives will make their workforce more motivated and engaged in their job roles. In addition to increased compensation and monetary bonuses, employees want a work-life balance. So, additional motivation can be achieved with non-monetary incentives like flexible schedules, paid time off (PTO), hobby-related merchandise, or free gym memberships offered at the right time to the right person can have a significant role in driving incremental performance.
 

In our diverse workplaces, the reward offering is far more likely to miss the mark if it is developed with a “one size fits all” mentality.. As discussed in my earlier blog, AI can help personalize incentives based on each worker’s makeup, thereby making them feel appreciated at work and boosting their engagement. For example, an employee suffering from burnout might benefit more from paid time off than a chance to park in the “employee of the month” parking space in front of the building.
 

In addition, AI can enhance recognition programs by ensuring inclusivity and fairness. By analyzing performance data without biases, AI helps identify employees who may have been overlooked and ensures that recognition efforts are distributed equitably, promoting a more inclusive and engaged workforce.
 

If applied correctly, the prospect of AI boosting employee engagement results and recognition and reward programs is truly exciting.