4 standards for effective AI

Man smiling at computer

How to evaluate AI tools to get better XM insights, faster

Artificial intelligence (AI) is transforming experience management (XM)—but not all AI is created equal. To drive better brand, customer, and employee experiences, you need AI that’s built intentionally, secured rigorously, and tailored specifically for XM data.

In this guide, we outline the four critical strategic standards to consider when you’re looking at how well AI is being applied in an XM platform. These aren’t technical specs, they’re strategic requirements for turning AI into meaningful action for your programs.

Download the guide to learn:

  • Why tailoring the application of AI to the unique needs of XM is crucial
  • How a clean, consistent, and scalable data foundation sets AI up for success
  • The importance of how AI is developed
  • Why AI should start with XM objectives, not just new features
  • The critical role of integrity in data protection, data application, and output reliability

See how SMG is applying these principles to our development of new AI-enabled features through Ignite®, our AI-native data platform, designed from the ground up to help brands surface smarter insights for better experiences.