Do The Benefits of AI Justify The Costs? Here Are 6 Questions You Need to Ask Before You Commit
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New AI products are constantly coming to market with promises to revolutionize some aspects of your business and save you time and, ultimately, money. It’s an exciting time, full of promise, but it’s important to sift through the hype and take a hard look at whether the benefits justify the costs.
Take workforce data analytics. Employee dissatisfaction and disengagement, especially among younger workers, have been a hot topic since the pandemic. It’s a critical issue, but many business owners are unaware of just how costly employee turnover can be. A median-size S&P 500 company can lose between $228 million and $355 million a year in lost productivity from employee disengagement and attrition, according to McKinsey research.
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Even when companies acknowledge they have a problem, they often create interventions to address the issue with little more than guesswork. AI gives businesses the opportunity to analyze their workforce issues more affordably than hiring a pricey consulting firm. AI data analytics tools can now predict the precise cost of employee turnover, identify the causes and offer data-driven solutions to prevent it.
Just because the technology exists, however, doesn’t mean your company will automatically benefit. You should vet decisions on whether to deploy AI solutions using the same rigorous cost-benefit analysis you use in every other aspect of your business.
Below are six questions to ask yourself before you commit:
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AI workforce analytics tools have incredible potential. They can identify which employees are planning to leave your company — before they even know. New tools give small and mid-size businesses access to information and insights that were impossible to come by in the past. Still, it’s wise to be cautious and to make sure the investment will pay off for your business in the long run.