Your AI agents need context, not just data, to get CX right
81% of customer experience (CX) leaders say consolidating customer data would improve CX, but 86% are still operating with siloed data. That gap is exactly where enterprise AI breaks down. Customer records can each be accurate, but if they’re not unified across systems, this leaves AI agents without the full picture they need to act reliably, which increases mistakes.
This hidden context is one of the reasons why 74% of customers abandon a brand after three poor experiences.
How can your organization create a trusted context foundation for reliable AI? This IT leader’s guide shows you how it’s done, including:
- How hidden context erodes your customer trust
- The five critical dimensions of trusted context
- Three phases to build a customer data foundation for accurate AI
