The Future of Employee Benefits Is AI-Led
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Traditional workplace perks like free snacks or Friday’s free breakfast have long lost their appeal. These benefits may have had their moments, but there are now no more than generic incentives that fail to engage employees, or even potential employees. The reasoning behind it is complex.
Many employees, ultimately, feel that businesses are missing the point with perks that are not related to their real needs. With new lifestyle priorities and challenges, the appeal of a free fried-up delivered to your desk has fully disappeared.
Opinions, however, diverge. Some claim that employees want increased flexibility and remote work options, while others prioritise in-office perks that improve day-to-day life. The truth is that there is no such thing as a one-size-fits-all employee benefits strategy. Modern employees have different needs, and so perks need to be able to recognise that.
This shift is also happening at a time when companies face growing pressure to improve retention. This is the perfect environment to discuss the introduction of AI-led employee benefits that can help organisations understand which perks can make a difference.
No More One-Size-Fits-All Benefits
Modern workforces are made up of employees with very different priorities. The traditional workplace perks are not able to address these differences in meaningful ways. The typical range of free snacks and social events may still hold value for some employees, but they do not solve the practical pressures employees experience every day.
This is where AI is helping provide an answer. Companies that use workforce analytics to identify patterns in engagement, absenteeism, productivity, and retention can use data to identify employee groups and understand their needs. Generative AI as part of employee performance management can help highlight unique needs and areas where specific benefits would be useful to specific employees.
AI & Workforce Data for Personalised Employee Benefits
AI-driven HR systems can allow companies to move beyond status benefit packages and towards more adaptive and personalised models. Indeed, they can analyse workforce data across departments, locations, and working arrangements to identify relevant and suitable perks.
Importantly, while this approach would include a diverse range of benefits, it could also avoid spending heavily on benefits that are not used or not relevant. Workforce perks do not need to be a guessing game.
Sustainability and Financial Perks in the Data Range
Sustainable and financial well-being are also becoming popular perks, which overlap with benefit strategies. But for businesses that analyse commuting behaviour, transport costs, and carbon reduction targets, these perks can also be introduced meaningfully as part of enhancing employees’ satisfaction.
In fact, as surprising as it may sound, employee perks can also be part of broader ESG goals for companies, such as for organisations exploring transport-focused benefits with the right salary sacrifice provider towards EV purchase. This can be part of a wider data-driven strategy that enables businesses to bring ESG targets closer while providing relevant benefits to their teams.
Static annual benefit packages are outdated. Nowadays, businesses need to deliver adaptable benefits strategies that understand the evolving pressures on their employees and on their own operational goals. Putting AI at the heart of employee benefits helps create an adaptive system that shapes perks around the real and current needs of both employees and employers.
Artificial Intelligence – The Data Scientist