How to reduce employee turnover with AI

According to a study by the Work Institute, turnover costs were over $600 billion in 2022, and predictions suggest this trend will increase in the upcoming years. Beyond losing money, turnover breaks team dynamics, puts extra work on current employees, stops projects, and lowers morale and productivity. Are you prepared to overcome this challenge?

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In this blog post, you’ll learn about AI-driven talent management, a strategy that helps you manage your workforce skills smartly and find talent mobility opportunities to prevent turnover through AI-powered talent management platforms.

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Why is employee turnover so high?

There are many potential causes of employee turnover, including poor company culture, lack of career development opportunities, inadequate compensation and benefits, and poor management.

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To identify the root causes of turnover, HR professionals can conduct exit interviews, analyze turnover data, and solicit feedback from current employees.

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By understanding the reasons why employees are leaving, businesses can develop targeted strategies to address these issues and reduce turnover. For instance, if exit interviews reveal that employees are leaving due to a lack of career growth, the company can invest in training programs and clear career paths to retain talent.

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Why retain employees instead of hiring new candidates?

According to the Society for Human Resource Management, SHRM, replacing an employee costs three to four times the position's salary. This cycle of recruitment and training drains resources and distracts from business goals. 

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To address this, AI-powered talent management platforms like Adepti provide precise and actionable data to build personalized retention strategies that really connect with employees' career goals. The results are palpable: According to a Remote's survey, 63% of employees believe that businesses can improve employee retention by developing career paths and providing opportunities for advancement. 

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Traditional methods vs AI-driven approaches to reduce employee turnover

We can now agree on this: retaining employees is cheaper than hiring new ones. But why use AI in this process? Aren’t traditional methods effective?

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Employee engagement is crucial for reducing turnover, and AI can help in assessing and improving engagement levels by analyzing survey data and communication patterns.

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Reducing employee turnover requires a comprehensive approach that addresses all aspects of workforce management. We’ll look at two major topics: upskilling and internal mobility, comparing traditional methods to innovative AI-driven approaches. Traditional methods often rely on regular employee performance reviews to assess and enhance effectiveness, but AI can provide more accurate and actionable insights to optimize these reviews.

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Upskilling

Typically, identifying employees' skills within an organization has been a manual and somewhat arbitrary process, relying heavily on manager observations or self-reporting. This approach can lead to biases and oversights, with many skills going untapped because they aren't clearly linked to current job roles.

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On the other hand, AI-driven talent management uses advanced data analytics to systematically map employee skills and identify skill gaps, ensuring that no potential talent is overlooked and allowing organizations to fully leverage their internal resources.

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Internal mobility

The lack of a connection between available opportunities and current employees’ skills frequently limits internal mobility in many organizations. Employees might be aware of openings but not apply because they do not think they qualify, or they are simply unaware of how to transition into new roles.

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A thoughtful and selective hiring process is crucial for long-term employee retention. Clearly defining job roles, ensuring cultural fit, and setting clear expectations during the hiring process can lead to lasting success in hiring the right talent. AI can assist in this process by providing data-driven insights to make more informed hiring decisions.

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AI-powered talent management platforms enhance internal mobility by identifying new opportunities based on the employee’s current skill set and career aspirations, supported by predictive analytics to recommend training or development to qualify for future roles. This proactive approach keeps employees engaged and helps fill internal positions more effectively, lowering recruitment costs.

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How to reduce turnover with AI-powered talent management

Implementing an AI-powered talent management platform depends not just on the technology itself, but also on your organization’s readiness to adopt and adapt to these new tools. The first step is to foster an AI-ready workforce, communicating the scope of change these tools will bring. This reduces resistance and builds a proactive culture around AI adoption.

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Employee engagement surveys are essential tools for regularly assessing employee satisfaction and engagement levels. AI can enhance the effectiveness of these surveys by providing deeper insights and more accurate data analysis, leading to improved employee retention and performance.

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Then, HR leaders have to encourage a culture of flexibility and continuous learning. AI integration often requires new ways of thinking and problem-solving, so fostering an environment that embraces experimentation and learning from failures is crucial.

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The next step is to equip the HR team with AI skills. This can be accomplished by creating comprehensive training programs on AI-powered tools. This should include not only technical training but also sessions on how to interpret AI insights and make data-driven decisions. This training is not static, so keep them up to date on the latest developments and best practices in AI talent management.

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Last but not least, you need to choose the right AI-powered talent management platform. Here are some things to consider:

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• Scalability: The tool should fit with the current business processes and be scalable for future growth and change.

• Comprehensive feature set: An ideal AI-driven talent management system should include predictive analytics, skill mapping, and career pathing.

• Security and compliance: The chosen AI solution must meet the highest data security standards and comply with all applicable laws and regulations.

• User experience and integration: The system should be intuitive and easily integrate with existing HR technologies to ensure smoother adoption.

• Customer support: Look for vendors known for excellent customer support and check if they offer resources like forums, tutorials, and regular updates.

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Addressing these foundational aspects will ensure the successful integration of AI into your talent management practices, resulting in increased efficiency and lower employee turnover.

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Reduce employee turnover with Adepti

Reducing employee turnover requires a comprehensive approach that addresses the root causes of turnover. Our AI-powered talent management platform allows you to identify and fill skill gaps, enhancing the development of personalized career development paths that boost employee satisfaction and reduce turnover. Book a free demo now.