Monitor programme performance and governance with OpenAI and Slack — n8n 工作流

高 复杂度⏰ 定时20 个节点🏷️ Project Management👁 3 次查看作者：Cheng Siong Chin

概览

How It Works This workflow automates programme performance monitoring and governance oversight through intelligent AI-driven analysis and multi-tool orchestration. Designed for programme managers, portfolio management offices, and executive leadership teams, it solves the critical challenge of tracking programme health while coordinating interventions across escalation, exception handling, and briefing preparation workflows. The system operates on scheduled intervals, fetching programme data and

使用的节点

Send EmailHTTP RequestSlackAI AgentOpenAI Chat ModelStructured Output ParserAI Agent Tool

工作流预览

Severity-Based Multi-Channel Delivery
What: Routes governance outputs through severity classi
Why: Ensure
Multi-Tool Governance Orchestration
What: Coordinates governance agent with parallel specia
Why: Ensures
AI-Driven Performance Assessment
What: Processes programme data through monitoring agent
Why: Leverages AI to detect early war
Prerequisites
OpenAI API credentials for multiple AI agents and speci
Use Cases
PMOs monitoring multi-project portfolios, consulting fi
Custom
Setup Steps
1. Configure Schedule Trigger with programme review fre
2. Connect Workflow Configuration node with programme p
3. Set up Fetch Programme Data node with project manage
How It Works
This workflow automates programme performance monitorin
parserparserparserparsertooltoolmodelmodelmodelmodel
⚡
S
Schedule Trigger
W
Workflow Configuration
Fetch Programme Data
Programme Monitoring Agent
OpenAI Model - Monitoring
Monitoring Output Parser
Exception Escalation Tool
OpenAI Model - Exception…
Exception Output Parser
Briefing Preparation Tool
OpenAI Model - Briefing …
Briefing Output Parser
Governance Agent
OpenAI Model - Governance
Governance Output Parser
R
Route by Severity
Email - Critical Alert
Slack - Critical Alert
Email - Standard Report
F
Format Report Data
20 nodes19 edges

工作原理

  1. 1

    触发器

    工作流由 定时 触发器启动，按预定计划运行。

  2. 2

    处理

    数据流经 20 个节点, connecting agent, agenttool, emailsend。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (20)

SE

Send Email

emailSend

#1
HT

HTTP Request

httpRequest

#2
SL

Slack

slack

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
AI

AI Agent Tool

n8n-nodes-langchain.agentTool

#7

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 monitor-programme-performance-and-governance-with-openai-and-slack 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "Monitor programme performance and governance with OpenAI and Slack", "nodes": [...], ...}

集成

agentagenttoolemailsendhttprequestlmchatopenaioutputparserstructuredscheduletriggersetslackswitch

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点20
复杂度high
触发器scheduled
查看次数3
分类Project Management

创建者

Cheng Siong Chin

Cheng Siong Chin

@cschin

标签

agentagenttoolemailsendhttprequestlmchatopenaioutputparserstructuredscheduletriggersetslackswitch
⚡

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