Why AI Bills Keep Exploding and AI Chatbots Keep Stalling: eGain Says It’s the Same Problem
Globe Newswire•29/09/2026•08:00 ET
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Key Highlights
- ➤eGain (EGAN) published two whitepapers on enterprise AI costs and self-service failures
- ➤AI bills rise from repeatedly searching unorganized documents and automating rule-based work
- ➤eGain prices many contracts on results rather than usage, absorbing bill risk
- ➤AI self-service can stall because customers receive confident, uncorrected mistakes
- ➤Ashu Roy said runaway AI bills reflect poor information organization, not undersized models
Expert Statements
Ashu Roy, CEO of eGain
“A runaway AI bill almost never means the model is too small. It means nobody told it where to look.”
Ashu Roy, CEO of eGain
“And once a customer is talking to the AI directly, there is no one left to catch a mistake before it lands.”
Ashu Roy, CEO of eGain
“Getting the underlying information right is not a feature. It is the whole job.”
Two new whitepapers argue that neither failure is about how smart the AI is, and that a bigger model fixes neither
SUNNYVALE, Calif., Sept. 29, 2026 (GLOBE NEWSWIRE) -- As thousands of AI builders and business leaders gather at The AI Conference in San Francisco, eGain Corporation (NASDAQ: EGAN) published two whitepapers on the two problems most likely to stop a corporate AI project, and argues both trace back to the same overlooked cause: companies never organized the information their AI depends on.
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