AI trends are moving fast, from agentic AI to autonomous CX decisions. But many initiatives fail to deliver meaningful CX impact because the data behind them isn't ready. As AI agents take on more decisions and actions, fragmented or unreliable CX data becomes the silent barrier to scale.
Gartner® predicts,
by 2028, 40% of agentic AI projects will be canceled due to escalating costs, unclear business value or inadequate risk controls. It's our understanding that this research provides practical insights into what leaders must change to translate AI trends into more consistent, measurable results.
We believe you'll learn:
- Why data readiness is now a leadership issue, not an IT task
- Which hidden data and governance gaps derail agentic AI at scale
- How to apply a five-step readiness framework to assess your organization's data readiness
- Executive guidance to reduce risk while enabling faster, more confident AI-driven decisions
Build the foundation AI agents need to deliver real CX impact.
