As the world continues to evolve, more and more companies see technology as their greatest ally to manage their processes.
According to Oracle’s latest Future Workplace study, 50% of workers use some type of Artificial Intelligence tool in their work. Applied Artificial Intelligence in Human Resources area leads to multiple benefits, from simplifying the filtering process of candidate profiles to improving the profitability of the company.
Artificial Intelligence in Human Resources
The role of HR leaders in modern organizations has shifted from a management function to a strategic partner helping drive business success. However, managers still spend a significant amount of time on repetitive, manual tasks such as resume screening, interview scheduling, and document processing.
Artificial Intelligence can help streamline these processes and make them focus on more strategic initiatives. Likewise, it provides valuable information and a complete analysis for the correct decision making and the improvement of the employee experience.
AI in Recruitment and Selection Processes
Recruitment and selection are tasks that often require a lot of resources and time. Artificial Intelligence tools can help optimize the hiring process, making it faster, more efficient and more effective. For example, AI algorithms can quickly scan resumes and identify the best candidates based on their experience and qualifications.
Chatbots can also interact with candidates, answer their questions, and schedule interviews. On the other hand, video interviews provide valuable information about a candidate’s communication skills, personality, and adaptation to company culture.
Uses and Examples of Artificial Intelligence in Human Resources
Optimize the search for candidates (Sourcing)
In order to create better “Boolean” operators (a data that can only have two values since it represents binary logic values, it is displayed with a data that is true or false) and thus have more specific results when we search for candidates.
Also used to evaluate the resumes of the candidates and extract key information, such as work experience, skills, university degrees, among others. Examples of tools to perform this task are Eightfold, Ideal and Textio.
To conduct job interviews online, through the use of video conferencing tools and voice and body language analysis. Examples of online interview tools are HireVue and Sonru.
AI can be used to evaluate candidates based on specific criteria, such as technical skills or personality characteristics. Examples of tools to evaluate candidates are Pymetrics and Harver.
Social media analysis
Review the social networks of the candidates and extract relevant information, such as their interests, skills and professional connections. Examples of tools for social media analysis of candidates are Entelo and Hiretual.
Selection of candidates
Artificial Intelligence can be used to select the most suitable candidates for a position based on their profile and the needs of the company. Examples of tools to perform this task are Mya and Eightfold AI.
Personalization of the candidate experience
It is used in order to personalize the candidate experience throughout the recruitment and selection process, from the publication of the job offer to the interview phase. Examples of tools to personalize the candidate experience are Beamery and Phenom People.
Recruitment data analysis
It is used to evaluate the company’s recruitment and selection data and provide useful information such as average time to hire, cost per hire, and the quality of candidates hired. Examples of tools to analyze recruiting data are Talentsoft and Avature.
How does Artificial Intelligence Help in Improving the Employee Experience?
AI-powered tools can collect and analyze data on employee engagement levels and provide insights on how to improve them.
For example, AI algorithms can analyze employee sentiment from surveys and feedback to identify areas that need improvement. Likewise, chatbots can respond to employee inquiries and provide personalized support, increasing engagement levels. Training bots can also provide personalized training and coaching to improve employee skills and productivity.
Companies can deploy chatbots and virtual assistants to help employees with routine tasks, answer common questions, and provide self-service information. These tools can help reduce workload and improve the employee experience by providing quick and accurate answers.
For example, Officevibe offers a platform to collect information from employees through surveys and provides reporting and analysis of the results to improve employee engagement.
Analysis of the internal “feeling”
AI-powered sentiment analysis tools can help companies better understand how their employees feel about their work, the company, and the culture. These tools can analyze data from surveys, comments, and other feedback channels to identify issues and opportunities for improvement. EruditAI offers a platform to analyze conversations and see how each person is feeling at work.
Companies can use Artificial Intelligence to provide personalized recommendations to employees based on their work history and preferences. These recommendations may include training opportunities, projects, and roles that match your skills and career goals. Slack already has a few implementations.
Detection of wear or burnout
It can be used to detect signs of burnout in employees and take preventive measures to retain them. Data analysis tools can help identify patterns of behavior and feedback that indicate a decline in employee engagement or satisfaction.
Sapience Vue monitors and analyzes employees’ daily activities to identify work patterns that may be causing burnout, such as working long hours or performing repetitive tasks, Knoa analyzes employee interaction with company systems, such as software and tools of productivity, to identify the causes of wear and provide solutions.
Use gamification techniques in order to improve employee participation and encourage collaboration. These techniques can include points, badges, and challenges that encourage friendly competition and goal achievement.
There are a variety of platforms but for example, EngageRocket uses artificial intelligence to measure employee engagement and satisfaction through surveys and interactive games. The tool provides detailed analysis and recommendations to improve the employee experience.
Artificial Intelligence in Talent Retention
AI-powered tools can analyze employee data to identify patterns and trends that affect retention. For example, algorithms can analyze employee feedback and social media activity to identify factors that affect employee satisfaction and engagement.
Chatbots can provide personalized support and guidance to employees, increasing their job satisfaction and motivation. Career development tools can also provide employees with personalized development plans, improving their career prospects and job satisfaction.
Examples of the Use of Artificial Intelligence in Team Loyalty
Feedback and sentiment analysis
Companies can use sentiment analysis tools to understand how employees feel about their work and company culture. These tools can analyze survey data, employee feedback, and other feedback data to identify trends and patterns in employee satisfaction.
For example, Glint is a platform that uses AI to analyze employee feedback and sentiment, helping companies identify and address areas of low engagement and improve the overall employee experience.
Recognition and rewards
AI-powered platforms like Kazoo offer a way to build employee loyalty through recognition and rewards. Using data analysis and employee preferences, these tools can suggest personalized rewards for employees who achieve certain goals or are high performers. These rewards may include financial incentives, time off, or public recognition.
Performance appraisals are an important way to measure employee performance and provide feedback on progress and areas for improvement.
AI-based tools like Pymetrics use games and data-driven assessments to objectively assess employees and help managers identify candidates with the right skills and company culture. These tools can reduce bias and increase accuracy in performance evaluation.
Coaching and continuous feedback
Tools like BetterWorks and 15Five provide ongoing coaching and feedback to employees to improve their performance and skills. These platforms allow managers to provide real-time feedback to employees and help them set and achieve specific goals using data analytics and progress tracking.
Employee Experience Personalization
Personalization of the employee experience is an important way to increase employee satisfaction and retention.
Tools like Workday and Salesforce use data analytics and machine learning to deliver personalized experiences tailored to the needs of employees. For example, these tools can customize training and career development based on individual employee skills and preferences.
AI Tools for Data Analysis in Human Resources
- Visier: Offers an AI-powered platform for HR analytics, providing insights into workforce trends, performance, and engagement to help companies make data-driven decisions.
- IBM Watson Talent: Uses AI to help companies analyze employee data and predict future workforce needs, enabling better workforce planning and development strategies.
- Cornerstone OnDemand: Uses AI-powered analytics to help companies measure the impact of their HR programs and initiatives, providing insights into ROI and effectiveness.