Digital member services
Handles text and voice requests through a digital service channel. Connects knowledge-based responses to a human support queue for requests requiring review.
Inside the application
Selected use cases, source information and operational outputs.
Messages and recordings are received as requests.
Staff response in the live support queue
Uncertain requests enter a review queue.
Member request
Routing reason
Conversation history
Staff response
Staff response in the live support queue
The administration interface covers conversations, support queues, knowledge and model settings.
Staff response in the live support queue
Application approach
The scope, operating approach and boundaries of this work.
Messages and recordings are received as requests. When voice services are enabled, speech is transcribed and answers are prepared from the organization’s knowledge base.
Uncertain requests enter a review queue. Staff see conversation context, the proposed answer and the reason for escalation.
The administration interface covers conversations, support queues, knowledge and model settings. Models can run locally; WhatsApp communication uses an external channel connection.
In everyday work
Having to repeat a request on another channel interrupts service. Yanıt connects WhatsApp text or voice conversations to organizational knowledge and human support when needed.
From a digital request to human support
Uncertain requests move to human review. Staff can continue from the conversation history and the reason for escalation.
Uncertain requests move to human review. Staff can continue from the conversation history and the reason for escalation.
This component shows incoming information together with its identity and provenance. Messages and voice requests enter one service flow. When voice processing is enabled, speech becomes text and answers are prepared from institutional sources.
This component explains how records are reviewed rather than displaying a result in isolation. Uncertain requests move to human review. Staff can continue from the conversation history and the reason for escalation.
This component distinguishes the user’s decision from the next work record. Conversations, the support queue and knowledge sources are managed together. Local models do not remove the external WhatsApp connection.
The whole operation
These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.
These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.
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