Organizations everywhere are rushing to adopt artificial intelligence (AI): chatbots, agents, pilots, and more. Investment is surging, but market data shows value still lags behind the hype.
As the potential becomes even more apparent, every organization is under pressure to become an agentic enterprise—an organization where AI agents and people work as one coordinated system, executing tasks, orchestrating workflows, and making decisions across the business, all under human oversight.
Yet there’s a critical obstacle in the way: the post-adoption gap that comes after initial AI deployment, where systems can quickly break under pressure and early wins stall before they ever reach enterprise scale.
The latest Infor™ Enterprise AI Adoption Impact Index, based on a global survey of more than 2,000 business decision-makers, shows the barriers driving this post-adoption gap.
