Advancements in artificial intelligence and machine learning (AI/ML) are helping organizations discover new use cases across several domains. AI/ML has several use cases in HR departments and is considered an effective solution for boosting employee engagement, and enhancing how employees are hired, managed, and retained. Employee engagement includes creating a holistic environment for employees that offers clarity, encourages skill development, provides recognition, and improves wellness.
Studies show a direct impact of employee engagement on business outcomes, but many organizations cannot develop a holistic employee engagement program. AI/ML systems have empowered organizations to improve employee engagement for onsite and remote employees in several ways, such as providing 24×7 support, real-time performance monitoring, learning and development, and conflict resolution.
Ways to Improve Employee Engagement using AI/ML
Analyze Employee Behavior
AI/ML solutions can help improve employee engagement through advanced sentiment analysis. Powered by natural language processing (NLP), speech analysis, and other AI/ML tech, it is easier to gather insights into employee behavior. Through more profound analysis of email conversations and biometric data, companies can deliver better employee experiences, improve employee retention, identify red flags, and create a more engaging environment for their workforce.
Improve Work Culture
By combining behavioral science with AI-enabled insights, organizations can create a more immersive work culture through timely nudges and stimuli. AI/ML initiatives can remove traditional biases in the workplace and create a fair work environment where employees are recognized and rewarded based on their performance. You can quickly identify and correct trends that promote unconscious bias due to attitudes and culture.
Personalize Learning and Development
AI-powered analytics can help businesses develop a customized training program based on their unique requirements. You can better integrate training programs, employee productivity, and engagement by aligning the training programs with your employees’ personality and learning quotient. You can use AI/ML to create adaptable learning courses to help and support employees in real-time. AI can also perform the role of an instructor for online learning programs that will improve efficiencies and reduce learning and development costs.
You can use AI/ML and predictive analytics to analyze employee data and identify employees who can collaborate easily, ensuring a cohesive workplace environment. You can create effective team structures and hierarchies while considering individual capabilities and complementary skill sets.
Deliver Faster Information Sharing
One of the most demanding challenges employees face is the sheer volume of information available. With the help of AI-powered chatbots and NLP, it is easier to quickly find relevant information on any topic. You can improve communication and collaboration and understand the needs of your employees better over time. Your company can become more agile as your employees can access information faster and focus better on achieving objectives.
Perform Predictive Analysis
Instead of waiting for annual performance appraisals to evaluate performance and gather employee feedback, AI/ML can help the management understand what’s working and what’s not. Organizations can perform sentiment analysis in real-time to assess their employee’s state of mind and take corrective measures to reduce the attrition rate and increase productivity. They can also make accurate predictions about employee performance and course of action.