Industry Solutions
Built on SDKHierarchical customer service system::
- Intelligent body division of labor design::
- Reception Agent: Handling of general inquiries (basic version)
- Expert Agent: solving technical problems (need to tie into knowledge base)
- QA Agent: monitoring the service process (integration with Guardrails)
- Workflow orchestration::
- Automatically escalate service tiers based on problem complexity
- Forced routing of sensitive issues (e.g. refunds) to a manual portal
- Featured Function Implementation::
- expense or outlay
function_toolIntegrated work order system - pass (a bill or inspection etc)
handoffsRealization of multi-language support
- expense or outlay
- Effectiveness evaluation::
- utilization
TracingStatistical resolution rate - analyze
tool_callsOptimize knowledge base coverage
- utilization
Deployment recommendations: It is recommended to implement it for high-frequency simple problems first, gradually expanding complex scenarios and continuously optimizing the instruction set of intelligentsia with manual monitoring.
This answer comes from the articleOpenAI Agents SDK: A Python Framework for Building Multi-Intelligence Collaborative WorkflowsThe
May not be reproduced without permission:AI productivity tools " How to Apply Multi-Intelligent Body Architecture in Customer Service System to Improve Response Quality?
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