Some work doesn’t need a human, but it still has to get done. Responding to every review. Routing time-sensitive feedback to the right team. Keeping a consistent brand voice across hundreds of locations. Done by hand, this work either falls behind or pulls your best people off the things only they can do.
So automation is the obvious answer, except automation is also where people get nervous, and reasonably so. As Bo Bandy, Alchemer’s CMO, put it in our recent webinar, “We all heard those scary stories about the AI chatbot giving airline passengers refunds and doing wild things.” That hesitation showed up clearly in Alchemer’s March 2026 Brand Tracker Study: 37% of teams want AI to automate repetitive tasks, but fewer than 30% are comfortable letting AI act without review.
That tension is exactly why human-in-the-loop isn’t a feature Alchemer added later. It’s a principle the product is built around.
Automate the right tasks
Ryan Tamminga, Alchemer’s Chief Customer Officer, is direct about where automation fits: “AI is perfect for large volume, low risk transactions.” Responding to reviews is a textbook case. At scale, it matters for more than courtesy. As Tamminga noted, replies are “driving your SEO, it’s driving your local pages,” and shaping whether a prospective customer reading reviews decides to walk in or not.
Alchemer’s AI Auto-Responder generates on-brand responses to reviews across platforms, either automatically or queued for a quick human review, so replies go out 24/7 in your tone of voice and stay consistent across every location. It learns from your historical responses, so it already sounds like you. As Bandy observed, “It actually learns from your historical posts, so you don’t actually have to train it. It already knows what your brand sounds like.” Smart routing sends time-sensitive or sensitive feedback straight to the team that needs to see it.
Human in-the-loop control
Here’s where the control lives. You build the rules, location by location, provider by provider, star rating by star rating. Roll automation out to one high-volume location first to build confidence, then expand. And there’s a backstop. As Tamminga explained, “If you set a risky review category up in the background, even if it’s a five star review, it won’t go forward unless you approve it.” You get the scale of automation with a safety net under the moments that carry real risk. Or, as he summed it up: “All the control, all the trust, the traceability’s there all the time, just right at your fingertips.”
It’s worth being clear about what’s happening behind that automation, too. Your customer data is never used to train public AI models. Processing happens in secure, controlled environments built to enterprise-grade standards, and Alchemer is SOC 2 compliant. Across both customer and market research, 89% of people agree AI should assist humans rather than replace them. That’s exactly the line Alchemer is built to hold.
Interested in learning more?
In our webinar, From hype to impact: how teams use Alchemer’s AI to turn feedback into action, Ryan Tamminga demos the AI Auto-Responder and walks through building the rule sets and risky-review safeguards that keep you in control while AI handles the volume. Watch the webinar →
Our guide to purpose-built AI for customer feedback covers how automation and control work together across the full feedback lifecycle. Read the e-guide →