The realization path of building an intelligent work order system
Building Customer Support Intelligence based on ACI.dev involves the integration of the following key components:
- Core tool chain: Zendesk (work orders), Slack (notifications), Gmail (email), Notion (knowledge base)
- Business Process Design::
- Automated Knowledge Base Retrieval via Brave Search
- Call Zendesk API to create/update work orders
- Using Natural Language to Process Customer Queries
- Send alert notifications via Slack
Specific development steps:
- Deployment infrastructure:
uvx aci-mcp apps-server --apps "ZENDESK,SLACK,GMAIL" - Implement work order creation logic:
response = client.functions.execute(
function_name="ZENDESK__CREATE_TICKET",
parameters={"subject": "产品咨询", "comment":{"body": query}}
) - Add an auto-response feature:
if "退款" in user_query:
client.slack.send(channel="#finance", text=f"新退款请求: {ticket_id}") - Set permission boundaries to restrict sensitive operations:
boundaries={"zendesk":["read","create"]}
Enhancement suggestion: It can be combined with the dynamic tool discovery function to automatically associate CRM data when "complaint" type of work order is recognized; the use ofallowed_apps_only=Trueparameter ensures that the system only accesses authorized tools.
This answer comes from the articleACI.DEV: Integration of 600+ tools for AI intelligences via MCP serverThe
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