Only 16% see real AI value: why most enterprises fall short

Many organizations have moved from AI experimentation to adoption, yet a gap remains between usage and measurable value. Standalone tools boost productivity, but without integration into workflows, AI's impact stays limited. As costs and expectations rise, closing this gap is a priority for IT and business leaders.

This research examines the shift from standalone AI to embedded AI, addressing data, governance, and integration challenges. Key insights include:

• Why only 16% of organizations see high measurable AI value
• How legacy systems and silos hinder scaling
• What governance is needed for safe AI deployment

Learn how leading organizations are rethinking workflows to drive lasting value.