Avoid Pitfalls in Enterprise Selection: 4 Dimensions to Evaluate Truly Usable AI Customer Service
Enterprises must evaluate AI customer service solutions across four dimensions: minimal privilege isolation, human-agent handover efficiency, knowledge base update and attribution, and business system integration.
Rebuilding the Permission Protection Net for Our Customer Service Bot After an Abnormal Refund Rate Surge
After a sudden spike in abnormal refunds, we restructured our customer service bot's permission controls to prevent unauthorized financial actions.
How to Keep Smart Customer Service from Overstepping in Complex Business Scenarios
Establishing reliable safety boundaries to prevent smart customer service systems from providing unauthorized or incorrect answers.
Just Took Over an AI Customer Service Project? Understand the Latest Agent Changes and Human-Machine Collaboration
A guide for newcomers on the differences between AI agents and traditional chatbots, why full automation fails, how to design human-machine boundaries, and which metrics matter for evaluation.
2026 Online Customer Service Platform AI Conversion Capability Evaluation
This article evaluates the AI conversion capabilities of four mainstream online customer service platforms in 2026, comparing their architecture and performance to help businesses choose partners that drive growth.
