Enterprise AI has a growing accountability problem. Companies can deliver systems faster than ever, but few assign clear ownership for defining, measuring, and proving the business outcome. Drawing on a SuccessLab executive panel with Anurag Goel, Ahmed Quadri, and Rama Kolappan, the article examines what this gap means for pilots, consumption costs, reclaimed capacity, forward-deployed engineering, and outcome-based pricing. Its central argument is practical: define the value before the pilot, name who owns it, and decide how the resulting capacity will be used before the technology is deployed.

Support leaders are increasingly positioned to take on broader customer leadership when they connect service intelligence to customer outcomes, product decisions, retention, and growth. Drawing on a SuccessLab executive roundtable, this article examines the operating shifts shaping AI-powered support.

Frontline employees often know exactly what’s preventing organizations from performing at their best, yet traditional engagement surveys rarely uncover those insights or translate them into action. Companies can close that gap by adopting a disciplined six-step process that combines structured interviews, targeted surveys, collaborative problem-solving, and rapid experimentation. When leaders and frontline employees co-create solutions, and measure their impact, they improve trust, strengthen engagement, and design work that delivers better outcomes for employees, customers, and the business.