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How to prevent intelligent customer service from becoming more biased after multiple rounds of questioning

How to prevent intelligent customer service from becoming more biased after multiple rounds of questioning

The customer first asked about the export failure and added that it only happened on mobile phones. If the robot forgot the original question, it might introduce the mobile phone installation method instead. Multiple rounds of dialogue need to retain current issues, confirmed conditions, and information to be verified, rather than mechanically splicing all historical texts into it.

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Slow AI support: inspect the request chain before replacing the model

Slow AI support: inspect the request chain before replacing the model

Customers see long wait times, possibly due to identity interfaces, knowledge retrieval, business queries, or text generation. Without time-divided recording, changing the model may not solve the problem. First, draw the steps of a question and answer process, and record the beginning, end, and failure reasons for each section. You can distinguish between constant slowness and occasional stuck from a certain source.

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Protecting business boundaries against malicious AI instructions

Protecting business boundaries against malicious AI instructions

User messages, uploaded files, or external pages may contain text that requires the system to ignore rules and export internal information. The customer service system should treat these contents as data to be understood rather than management instructions. Just because a piece of text says administrator request does not mean it should be given higher permissions. The point here is to be clear about which sources can set rules and which sources can only provide question content.

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Limit the actions AI support can perform through business APIs

Limit the actions AI support can perform through business APIs

Answering how to check an order and actually checking an order are two different abilities. After letting the intelligent customer service call the business interface, the permission check must be left on the server side, and you cannot rely on prompts to ask it to be cautious. Actions such as query, modification and cancellation should be authorized separately; a piece of natural language from the customer cannot be directly turned into any database operation.

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When AI customer service should hand over to a person

When AI customer service should hand over to a person

The robot continues to ask questions and the customer has already stated that he wants to find a human being, which will make the communication stop where it is. The triggering conditions for manual transfer need to be clear: the user actively requests, the information cannot be confirmed, continuous answers are not what the question asked, or the matter requires manual permission, these can all become the basis for transfer. The decision of whether to transfer cannot just be determined by a vague confidence number. The risk of the problem and the current status of the customer must also be considered.

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