1 Employee Experience AI Agent, Live in Production.

Engagement surveys depend entirely on a promise of anonymity, and that promise is most often broken by accident during analysis. Someone filters by team, then by tenure, then by location, and arrives at a cut of four people — at which point anyone who knows the team can work out who gave the low score, and the specific comment attached to it. It happens with good intentions, because the person slicing the data is trying to locate a problem precisely. The consequence lands on the next survey: word travels, response rates fall, and the honest answers stop first. The second failure is interpretive. A single engagement score is reported and discussed, and the underlying themes — which are the only part that suggests an action — go unread because reading them at volume is slow.

Employee Feedback Analysis reads an engagement survey for what it actually says, and suppresses every cut where the group is small enough that a colleague could work out who said it. The suppression is not a limitation of the agent; it is the feature, and it is enforced consistently rather than depending on whoever is doing the analysis remembering to be careful. One agent covers this process. It surfaces themes for a person to act on, and the decision about what to do with a difficult finding stays where accountability for the working environment already sits.