6 Feedback Management AI Agents, Live in Production.

Feedback programmes generate a great deal of data and very few decisions. The survey is usually the culprit: questions accumulate over years, several are leading, some are double-barrelled so the answer is uninterpretable, and a few ask about things the respondent has no way of knowing. The output is a score that moves without anyone being able to say why. Routing is the second failure — feedback arrives from several channels into one queue, so a product request, a support failure and something that needs answering today all wait together, and the ones needing action get the same attention as the ones needing only counting. Then there is the follow-up problem: contacting an unhappy customer is often right and sometimes makes things distinctly worse, and the difference is not obvious from the score alone.

These agents fix the instrument and the routing before the analysis. Service Survey Designer builds a survey from what you actually need to decide and strips the leading, double-barrelled and unanswerable questions. Feedback Intake Routing separates a product request from a support failure from something urgent and sends each to the team that can act. Customer Feedback Analysis then surfaces themes, the drivers of low scores, and what is worth acting on. For outreach, NPS Detractor Follow-Up decides which detractors merit a personal reply and which are better left alone, drafting each from what they actually wrote. Customer Testimonial Request finds the customers whose own words are worth quoting and drafts an ask that names what you want to quote and how consent works. Product Review Request Check audits a planned campaign for the things that make review solicitation improper: a list filtered by expected sentiment, something offered in exchange, or wording that steers the score.