Propeller

"We need to add AI to our customer experience.”

It’s a phrase that’s echoing across industries right now. But when AI is bolted onto broken processes—or rushed without user insight—it can do more harm than good.

Before you implement that chatbot or recommendation engine, ask yourself:
What customer problem are we actually solving?

In our latest blog, we break down what it really takes to make AI a value-add in customer experience—from avoiding costly missteps to building adaptable systems grounded in UX principles.

Inside the post:
• Red flags to watch for when AI adds friction, not value
• Real-world examples of AI done right (and wrong)
• A readiness checklist to assess your AI foundation
• Metrics that actually reflect user experience impact

If you're thinking about AI, don't skip the design phase. Start with your users and build from there.

Read the blog:

AI for UX: A Guide to Enhancing Customer Experience Learn how to implement AI for UX the right way, avoiding common pitfalls and designing solutions that truly enhance customer experience.