When Institutional Shareholder Services (ISS) came to Decusoft, they had just over 700 employees and a manual, time-consuming, Excel-based compensation process. Already taxed by the process and poised for growth, they were looking for something that scaled. They had three clear priorities, ease of use for managers, flexibility in design and process, and working with a great team that could help them with their short, but intense year-end cycle.
The latest compensation news, trends, whitepapers, and insights.
Paper 3 explores the productive middle ground: how AI amplifies human judgment in strategic compensation without replacing the contextual decision-making that only people can provide. We examine where AI genuinely adds value, where it consistently falls short, and how to design compensation processes that leverage the strengths of both.
Paper 2 examines why compensation modeling demands always-on infrastructure and why “good enough” data quality costs organizations an average of $12.9 million annually in poor decisions, rework, and missed opportunities.
The best-of-breed vs. unified system debate isn’t new. But in compensation, it’s particularly consequential. This paper makes the case for why compensation complexity demands specialized platforms, not general-purpose HCM modules.
