AI is everywhere—but for CX leaders, the real question is: how do you move beyond the buzz and actually put it to work?
In Episode 5 of The Business of Feedback, Alchemer CMO Bo Bandy and SVP of Product and Service Ryan Tamminga explore how leaders can apply AI today to solve real problems, integrate systems, and unlock customer insights that drive measurable impact.
You can watch the full webinar on-demand, here.
Step 1: Start with the problem—not the tech
AI isn’t a magic wand—it only delivers value when tied to a specific challenge. Rather than starting with technology, CX teams should begin with the problem they’re trying to solve, then find the right tools to support it.
As Ryan puts it: “You need to start with the problem you’re trying to solve, not with the technology.”
This mindset helps teams stay focused on impact—not hype.
Step 2: Connect feedback to your systems
Customer feedback becomes far more powerful when it’s connected to the systems that run your business.
For example: Your CRM might show a deal closed. But customer feedback? It might reveal that the purchase process was clunky or frustrating. That’s the kind of insight that helps you improve customer journeys, not just track them.
Learn how to connect, automate and amplify your customer experience with Alchemer Connect.
Step 3: Unlock open text with AI
For years, many organizations avoided open-text survey responses because the analysis was too time-consuming. Not anymore.
AI makes it easy to extract themes and sentiment from unstructured feedback, at scale.
“If you don’t have to worry about the volume anymore, you can spend all your time worrying about what you do with the outcome,” Ryan says.
Now, CX teams can focus on action, not categorization.
Learn more about how Alchemer Pulse transforms overwhelming feedback into signals you can act on.
Step 4: Get ahead with predictive insights
The future of CX isn’t just reactive. AI can now surface early signals—like when a product starts gaining traction or when a service issue is starting to bubble up. With predictive insights, your team doesn’t have to wait for things to break. You can act before they do.
Ryan describes how AI can catch these emerging patterns at scale. Imagine a jacket that suddenly starts selling faster in Colorado. AI doesn’t just show you the spike—it connects it to context, like positive customer sentiment or a celebrity wearing it at a major event. In his example, it was Shaun White at the X Games. By identifying that trend early, marketing teams could launch a campaign while interest is surging, rather than after the moment has passed.
This type of foresight allows CX and marketing teams to be proactive trend-spotters, turning small signals into big opportunities before competitors even notice.
Turning feedback into real business impact
AI helps CX leaders listen at scale, connect data across systems, and transform feedback into actionable insights. By focusing on real business problems today—and keeping an eye on predictive opportunities for tomorrow—teams can turn feedback into one of their most valuable business assets.
👉 Watch Episode 5 of The Business of Feedback: How AI Unlocks the Power of Feedback.
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