The AI Evaluation Guide for CX Leaders
AI adoption is accelerating, and customer experience is one of the clearest proving grounds. From automating ticket creation to delivering scaled personalized support, teams are testing tools that promise faster resolutions, reduced costs, and stronger customer relationships. CX leaders now have the opportunity to turn that experimentation into a secure, scalable strategy that delivers measurable results.
But with AI tools spreading quickly across departments, focusing on functionality alone is no longer enough. Enterprise solutions must meet high standards for security, compliance, governance, and agent adoption—while also enhancing the customer journey at every touchpoint.
This guide gives CX leaders a structured approach to evaluating AI tools through that lens. It’s designed to help you move from piecemeal adoption to intentional orchestration, so you can align AI investments with business priorities.
Inside you’ll get:
But with AI tools spreading quickly across departments, focusing on functionality alone is no longer enough. Enterprise solutions must meet high standards for security, compliance, governance, and agent adoption—while also enhancing the customer journey at every touchpoint.
This guide gives CX leaders a structured approach to evaluating AI tools through that lens. It’s designed to help you move from piecemeal adoption to intentional orchestration, so you can align AI investments with business priorities.
Inside you’ll get:
- A customizable AI evaluation matrix to assess your current AI stack
- A vetted list of 30 essential questions you should ask any AI vendor
- Grammarly’s enterprise evaluation snapshot, with our responses to every question

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