Enterprises are leaving major AI customer experience gains on the table
Proof-of-concept is not production. Enterprise AI projects are stalling at the confidence gap — and it's costing billions in unrealized value.
Why it matters
Enterprise AI adoption is hitting a critical deployment wall: organizations can build working demos but fail to move them into production due to edge-case anxiety and legal/governance concerns. This signals a structural gap in how enterprises operationalize AI that goes beyond model capability.
The key facts
4 to knowEnterprises experiencing 'confidence gap' between successful POCs and live deployment
Edge cases and legal concerns cited as primary blockers to AI customer experience production rollouts
Source: Chris Mina, Chief Product & Technology Officer at LivePerson Inc.
Story frames enterprise AI adoption as a governance/operationalization challenge, not a capability one
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Enterprises are investing heavily in AI customer experience, but many experiments are stalling out before ever going live. The culprit is a confidence gap, according to Chris Mina (pictured), chief product and technology officer at LivePerson Inc. Organizations build compelling proof-of-concept…