Why most AI pilots fail to scale (and how to fix that)

For many organizations, AI adoption has moved beyond whether to invest — the challenge now is turning pilots into production-ready deployments that deliver value. From misaligned objectives and flawed data to poor change management and stalled governance, the gap between AI experimentation and enterprise-scale impact remains significant.

This research explores what separates successful AI initiatives from failures, offering insights on workforce agency, designing AI agents for real-world use, and rethinking ROI. Key themes include:

• Why employee agency drives AI adoption outcomes
• Common design failures in AI agents
• Expanding ROI definitions to move beyond pilots

Explore these insights in depth.