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; ;The Monumental Mission of Meaningful Mentorships; ;Proactive TR Pros See ‘Train’ of Change Coming, Take Steps to Act; ;The Keys to Creativity and Driving Innovative Total Rewards; ;The Pros and Cons of Giving Managers Discretion on Merit Increases; ;Using Analytics, Innovative Framework to Transform HR/Total Rewards; ;How An Industry Leader Sees Technology Transforming Total Rewards; ;Biopharma Compensation Leader Has Put AI Under the Microscope; Editor’s Note: Additional Content For more information and resources related to this article, see the pages below, which offer quick access to all WorldatWork content on these topics: ;Employee Experience; ;Employee Recognition; ;People Analytics; ;Total Rewards; ;Well-Being; ;Workforce Engagement; #1 Total Rewards & Comp Newsletter Subscribe to Workspan Weekly and always get the latest news on compensation and Total Rewards delivered directly to you.

However, attention should be paid not only to highlight country differences, as there might be other underlying factors playing a role in determining differences in compensation, such as business size, industry or different structures of ownership across countries.

Meanwhile, companies with industries prone to ongoing disruptions should consider adopting a “trigger policy.”

"Managers too often in this industry are told that they can't," Raising Cane's co-chief executive officer AJ Kumaran said in an email.

Develop a retiree eligibility window Companies that adopt formal retirement policies often use a combination of age and years of service that add up to 65 to 80 depending on the company and industry.

We have seen that companies, especially in the tech industry, are early adopters to AI-based quota setting and leverage AI models to set quotas or, at the very least, use AI-based market potential measures.

The report also found benefits understanding and financial readiness vary significantly by industry and income level, increasing the risk of plan mis-selections, delayed care, and avoidable costs for lower-earning and frontline workforces.

.; ;The industry has yet to widely embrace deep, end-to-end AI management capable of optimizing the sales process from lead to close.; ;Most current productivity gains come from freeing up a sales representative’s calendar — automating the repetitive research, outreach messaging, follow-ups and data entry that eat up their week.; But as AI expands, it forces a critical question: How will the shift alter your sales compensation strategies, job structures and incentive models?

.; In contrast, simply adjusting payouts or replicating plans used in the industry rarely produces a positive result and often can damage the organization’s performance by creating misalignments among strategy, job roles and compensation.

(The firm’s research monitors business intelligence, compensation practices and the people side of IT management of 4,865 North American employers in 38 industries.)