As AI gains momentum across the enterprise in 2026, many companies are running into an unexpected obstacle: trust — and a workforce that isn’t keeping up.
Lance Younger, executive vice president, EMEA general manager, and global alliances at Oro Labs, describes this gap as the “AI paradox.” The technology is enterprise-ready, but people are not yet convinced.
The result is a growing divide between teams that redesign around AI and those that simply layer it on. Across enterprise AI rollouts, failures rarely come from the models themselves. Instead, they stem from unresolved questions about who owns decisions, how authority shifts once AI is introduced, and what employees are being asked to trust.
To better understand how companies are addressing these challenges, Oro collaborated with the Hackett Group on a study of procurement orchestration. The 2026 Procurement Orchestration Study revealed two key findings:
Large-scale deployments of intake and orchestration have expanded eightfold in just two years.
