Predict, Prevent, Retain with Employee Retention AI

Our advanced Employee Retention AI provides unparalleled insights and intelligence into staff satisfaction, helping you to proactively address concerns before they become resignations. Stay competitive by retaining your most valuable asset – your people – through effective retention strategies.

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Keep Your Teams Happy, Engaged, and Loyal

Improve staff turnover with data-driven AI intelligence

Don’t wait until your employees resign. Act proactively with our employee Retention AI, which analyses hundreds of data points per employee to forecast potential resignations within the next 30, 60, or 90 days.

Use this knowledge to retain your talent, retain valuable business knowledge, and improve employee satisfaction by addressing issues before it’s too late. Show your employees you care about their wellbeing and save on recruitment and onboarding costs.

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Automate your business rules

Promote employee satisfaction

accurate payroll

Promote transparent working environment

no more time theft

Save tens of thousands on recruitment and onboarding cost

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Proactively improve long-term employee retention

By identifying high-risk regions and venues, you can identify managers in need of support. Provide those managers with targeted training and coaching to maintain engagement and commitment among your top talent.

Take a strategic approach to foster a culture focused on employee retention. This strategy will not only reduce turnover but also cultivate a more stable and dedicated workforce.

improve employee satisfaction

Reduce staff churn rate 

reduce admin hours

Improve staff engagement

clock in and out

Retain your organisational knowledge

Improve your business future with a long-range recruitment strategy  

Our advanced forecasting tools predict likely resignations by role and location, providing you with up to 90 days notice to prepare for recruitment needs. Utilise these insights to develop a long-range recruitment strategy that maintains the right number and mix of staff to efficiently run your business and meet customer demands. 

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Want to see our Employee Retention Ai in action?

Get in touch to book a demo and see how our solutions can help your business


What is employee retention AI, and how does it work?

Employee retention AI utilizes algorithms and data analytics to assess various factors affecting employee turnover within a company. It analyzes patterns, behaviours, and data points to predict which employees are at risk of leaving. This software often uses machine learning to identify trends and suggest actions to improve retention.

What kind of data does employee retention AI analyse?

These programs can analyse a wide array of data, including employee demographics, performance reviews, engagement surveys, time-off requests, tenure, salary information, and even external factors like market trends or job opportunities in the industry. By collating and analysing this data, the software can identify potential issues and predict which employees might leave.

How does employee retention AI benefit a company?

This software offers several benefits, such as early identification of employees likely to leave, allowing proactive measures to retain them. It helps HR teams focus efforts on at-risk employees, provides insights into factors affecting retention, and assists in crafting targeted strategies to enhance employee satisfaction and engagement.

Is employee retention AI reliable in predicting turnover?

While no tool can predict with absolute certainty, AI software uses historical and real-time data to make predictions based on patterns and correlations. Its accuracy often improves over time as it learns from more data. However, it’s essential to combine AI insights with human judgment and contextual understanding for the most effective results.

How can companies implement employee retention AI software successfully?

Successful implementation involves several steps: gathering relevant data from various sources, ensuring data privacy and compliance, training the AI model with quality data, interpreting AI-generated insights, and taking proactive measures based on these insights. It’s crucial to involve HR professionals in interpreting AI suggestions and implementing strategies aligned with company culture and policies.

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