AI Investments Falter as Enterprises Struggle with Orchestration

Enterprises are struggling to achieve meaningful results from their AI investments, with only 13% having reached the tipping point where it changes how they operate. According to a new paper from Futurum, most organizations are stuck in 'random acts of AI', initiatives that work well within a single function but fail to connect to broader business outcomes.

The issue lies in the lack of orchestration, with many enterprises rating themselves ahead of competitors on AI capability (53%) but struggling to achieve enterprise-scale results (16%). IBM's experience with its own global operations is instructive: by applying AI, automation, and workflow redesign while treating the enterprise as a system, the company achieved $4.5 billion in annualized productivity savings and reduced HR operating costs by 40%.

The paper highlights three key signs that an organization needs to re-evaluate its approach: investing in platforms but failing to achieve expected outcomes; systems being connected but not coordinated; and unclear accountability for AI initiatives. To overcome these challenges, enterprises need to identify a clear orchestrator - a leader or function with the visibility, authority, and capability to align the entire system towards shared outcomes.