eGain publishes whitepapers on enterprise AI token costs, self-service trust gap
EGAN•eGain published two whitepapers on enterprise AI costs and self-service trust. They cite repeated searches across unstructured documents as a source of unpredictable token bills and warn that high-impact errors can undermine 95% accuracy in customer-facing AI.
1. Whitepapers address AI costs
eGain published two whitepapers on enterprise AI cost overruns and chatbot failures, identifying poorly organized business information as a shared root cause. One paper argues that rule-based tasks should run on conventional software rather than repeated AI reasoning; the other warns that errors reaching customers can undermine 95% accuracy.
