When performance decisions rely on memory, politics fill the gap. Annual reviews ask managers to reconstruct a year of work after the fact. HR spends months chasing inputs that don’t actually improve decisions. Employees hope they’re remembered correctly. Zal.ai was built to change that. We help teams replace performative reviews with ongoing, meaningful performance conversations, only using AI to handle the busywork and surface useful signals, while keeping judgment where it belongs: with humans. No black boxes. No auto-ratings. No pretending one cycle fits every culture. With Zal.ai, organizations: - Move from one-off reviews to continuous performance conversations - Ground feedback in real work, not recency or vibes - Support managers without scripting them - Connect performance, growth, and outcomes in one flexible system The result: ~50% less administrative work Clearer, more credible performance insights Reviews people actually recognize themselves in Zal.ai helps organizations move beyond performative reviews, and build performance practices that are human, rigorous, and actually useful.