eGain publishes whitepapers on enterprise AI token costs, self-service trust gap

• eGain published two whitepapers on enterprise AI cost overruns, chatbot failures, and the shared root cause of poorly organized business information.
• “Ending Runaway Token Costs in Enterprise AI” flags unpredictable token bills driven by repeated searches across unstructured documents, not model size.
• Paper also argues rule-based tasks should run on conventional software, not repeated AI reasoning, to curb avoidable spend.
• “The Trust Gap in AI Self-Service” warns customer-facing deployments fail when errors reach users, with 95% accuracy undermined by high-impact mistakes.
• Whitepapers posted at http://eGain.com/resources.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. eGain Corporation published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202609291514OMX_____EUPR__NL_GNW9836270_nl) on September 29, 2026, and is solely responsible for the information contained therein.