GLG Finds Most Enterprises Lack Baselines To Prove AI Spending Returns

The Common Question

How do I actually measure ROI on our company's AI investments?

The Lesson in This Case

Most enterprises investing heavily in AI cannot demonstrate what that spending has returned – not because the tools are failing, but because they never established the baseline required to prove success in the first place. Five senior AI implementation leaders, drawing on deployments across healthcare, enterprise software, and financial services, identify the core failure points: misaligned adoption metrics, ROI models built for legacy software economics, and a measurement timeline that systematically obscures the highest-value outcomes. Senior leaders approving the next round of AI budget should demand a measurement architecture before the first dollar deploys, not after the vendor asks for renewal.

Originally reported by GLG. Read the full story here.