PMO Agent Workflow - Product Design Document

Executive Summary

The PMO (Project Management Office) Agent is an AI-powered workflow automation system designed to replace traditional PMO functions for engineering teams. Operating primarily through Slack with Notion integration, this intelligent agent streamlines project management processes, automates status tracking, and facilitates team communication while maintaining human oversight and control.

Key Value Propositions

Automated Project Orchestration: Eliminates manual PMO overhead while maintaining project visibility
Intelligent Communication: Context-aware messaging and escalation systems reduce notification fatigue
Data-Driven Insights: Leverages team communication patterns and git activity for accurate project tracking
Seamless Integration: Works within existing team tools (Slack, Notion, Git) without workflow disruption
Scalable Team Management: Supports 8-person engineering teams with potential for larger scale adoption

Problem Statement & Use Cases

Primary Problem

Traditional PMO functions create overhead burden on engineering teams through:

Manual status collection and reporting
Lengthy, unproductive meetings
Delayed blocker identification and resolution
Inconsistent project visibility across stakeholders
Time-consuming task assignment and dependency tracking

Target Use Cases

1. Daily Operations Management

Automated Standup Collection: Replace daily standup meetings with asynchronous status gathering
Blocker Detection: Identify and escalate project blockers from team communications
Progress Tracking: Monitor development progress through git activity and Slack conversations

2. Sprint Planning & Execution

Capacity Planning: Intelligent workload distribution based on historical data and availability
Task Assignment: Smart assignment considering expertise, workload, and dependencies
Sprint Retrospectives: Data-driven insights on team velocity and bottlenecks

3. Stakeholder Communication

Executive Reporting: Automated status reports for leadership and stakeholders
Risk Identification: Proactive identification of potential delivery risks
Cross-team Coordination: Facilitate communication between frontend and backend teams

4. Knowledge Management

Decision Capture: Automatically document technical decisions from discussions
Context Preservation: Maintain project history and institutional knowledge
Onboarding Support: Help new team members understand project context

Agent Core Components

1. Communication Engine

Multi-Channel Integration: Slack DMs, public channels, threads
Context-Aware Messaging: Timezone and availability-aware communication
Escalation Management: Progressive visibility system for urgent matters
Natural Language Processing: Extract action items and sentiment from conversations

2. Workflow Orchestration Engine

Meeting Facilitation: Automated agenda creation, discussion moderation, summary generation
Task Lifecycle Management: Creation, assignment, tracking, and completion workflows
Dependency Mapping: Visual and logical dependency tracking between tasks
Timeline Management: Deadline tracking and predictive scheduling

3. Analytics & Intelligence Engine

Performance Metrics: Team velocity, response times, completion rates
Predictive Analytics: Effort estimation and delivery forecasting
Pattern Recognition: Identify recurring blockers and optimization opportunities
Health Monitoring: Team workload distribution and burnout prevention

4. Integration Hub

Slack API Gateway: Full workspace integration with events and interactions
Notion MCP Service: Real-time access and querying of Notion knowledge base, tasks, and project data
Notion Sync Service: Bidirectional synchronization and updates with project databases
Git Activity Monitor: Repository activity tracking and code metrics
Calendar Integration: Meeting scheduling and availability management

5. Knowledge Management Layer

Notion MCP Connector: Provides real-time Notion knowledge base access for AI agents
Context Enhancement: AI agents can query current task status, project history, and team knowledge
Intelligent Decision Support: Real-time data-driven task assignment and priority judgment
Knowledge Persistence: Automatically maintain and update project knowledge base in Notion

6. Team Onboarding & Initialization Engine

Interactive Setup Wizard: Polite Slack-based conversation to collect initial team information
Team Discovery: Gather team member names, roles, skills, and Slack/GitHub identities
Project Discovery: Identify current projects, repositories, and ongoing initiatives
Preference Configuration: Set team communication preferences, time zones, and working hours
Notion Database Bootstrap: Automatically create and populate initial team structure in Notion

7. Notion Database Structure & Maintenance

The PMO Agent maintains comprehensive project data in Notion through five core databases:

7.1 Projects Database

Purpose: Track all team projects with status, priority, and progress metrics

Core Fields:

Project Name (Title)
Priority Level (Select: Critical, High, Medium, Low)
Status (Select: Planning, In Progress, Testing, Complete, On Hold)
Progress Percentage (Number: 0-100)
Assigned Team Lead (Person)
Start Date (Date)
Target Completion Date (Date)
GitHub Repository URL (URL)
Latest Commit Hash (Text)
Commit Activity Score (Formula)
Sprint/Milestone (Relation to Sprints DB)
Dependencies (Multi-select)
Risk Level (Select: Low, Medium, High)
Last Updated (Last Edited Time)

7.2 Individual Tasks Database

Purpose: Manage individual task assignments with detailed tracking

Core Fields:

Task Title (Title)
Description (Rich Text)
Assigned To (Person)
Project (Relation to Projects DB)
Status (Select: Backlog, In Progress, Review, Testing, Done, Blocked)
Priority (Select: P0, P1, P2, P3)
Estimated Hours (Number)
Actual Hours (Number)
Due Date (Date)
Created Date (Created Time)
Completion Date (Date)
Blocker Description (Rich Text)
Tags/Labels (Multi-select)
GitHub PR Link (URL)
Review Status (Select: Not Started, In Review, Approved, Changes Requested)

7.3 Team Members Database

Purpose: Track team member information, skills, and current workload

Core Fields:

Name (Title)
Role (Select: Frontend Developer, Backend Developer, Full Stack, DevOps, QA)
Slack User ID (Text)
GitHub Username (Text)
Primary Skills (Multi-select)
Current Workload Hours (Formula)
Availability Status (Select: Available, Busy, Unavailable, PTO)
Timezone (Select)
Weekly Capacity Hours (Number)
Current Sprint Tasks (Relation to Tasks DB)
Performance Rating (Number: 1-5)
Last Activity Date (Date)

7.4 Meeting Records Database

Purpose: Document all PMO meetings with decisions and action items

Core Fields:

Meeting Title (Title)
Meeting Type (Select: Daily Standup, Wednesday Sync, Sunday Planning, Ad-hoc)
Date & Time (Date)
Duration Minutes (Number)
Attendees (Multi-select from Team Members)
Agenda Items (Rich Text)
Key Decisions (Rich Text)
Action Items (Rich Text)
Blockers Discussed (Rich Text)
Next Meeting Date (Date)
Meeting Notes (Rich Text)
Recording Link (URL)
Follow-up Required (Checkbox)

7.5 Knowledge Base Database

Purpose: Maintain institutional knowledge, best practices, and decision history

Core Fields:

Article Title (Title)
Category (Select: Best Practices, Technical Decisions, Process Documentation, Troubleshooting)
Content (Rich Text)
Related Projects (Relation to Projects DB)
Author (Person)
Created Date (Created Time)
Last Updated (Last Edited Time)
Tags (Multi-select)
Importance Level (Select: Critical, Important, Reference)
Access Level (Select: Public, Team Only, Lead Only)
Related Links (Rich Text)
Version (Number)

7.6 Automatic Maintenance Mechanisms

Real-time Synchronization

Git Webhook Integration: Automatically update commit activity and PR status
Slack Message Processing: Extract status updates and progress information
Calendar Integration: Sync meeting schedules and availability

Automated Data Updates

Daily Progress Calculation: Update project progress based on completed tasks
Workload Monitoring: Calculate current team member capacity and utilization
Blocker Detection: Identify and flag tasks that haven't progressed in defined timeframes
Deadline Tracking: Highlight overdue tasks and at-risk projects

Data Quality Assurance

Validation Rules: Ensure data consistency across related databases
Duplicate Detection: Identify and merge duplicate entries
Completeness Checks: Flag incomplete records requiring attention
Historical Archiving: Archive completed projects while maintaining searchable history

Agent Capabilities Specification

Team Onboarding Capabilities

Intelligent Team Discovery

Welcome Conversation: Initiate friendly introduction when PMO Agent is first added to Slack workspace
Progressive Information Gathering: Ask questions in natural conversation flow, not overwhelming surveys
Smart Context Awareness: Detect existing team members from Slack workspace and suggest completions
Validation & Confirmation: Verify collected information before populating Notion databases

Initial Setup Process

Team Member Registration: "Hi everyone! I'm your new PMO Assistant. Let me get to know the team. Could you each tell me your name, role (Frontend/Backend/Full Stack/DevOps/QA), and primary tech skills?"
Project Discovery: "What projects are you currently working on? Please share project names, GitHub repositories, and who's working on what."
Workflow Preferences: "How do you prefer team communication? What are your working hours and time zones?"
Integration Setup: "Please share your GitHub usernames so I can track code contributions and link them to tasks."

Conversation Examples

Team Introduction Flow:

PMO Agent: 👋 Hello team! I'm your new PMO Assistant, here to help streamline our project management.

To get started, I need to learn about our team structure. Could each team member please introduce themselves with:
• Your name
• Your role (Frontend/Backend/Full Stack/DevOps/QA)
• Your primary tech skills
• Your GitHub username

No rush - you can respond whenever convenient! 😊

Project Discovery Flow:

PMO Agent: Thanks for the introductions! Now I'd love to learn about our current projects.

Could someone help me understand:
• What projects are we actively working on?
• Which GitHub repositories are associated with each project?
• Who are the main contributors for each project?
• What's the current status and priority of each project?

I'll use this to set up our project tracking in Notion.

Preference Configuration:

PMO Agent: Almost done with setup! A few questions about team preferences:

• What time zone is everyone in? (I see mix of mentions, want to confirm)
• Preferred hours for team meetings?
• How often should I check in for status updates?
• Any specific channels for project discussions vs general chat?

I'll respect these preferences in all my interactions.

Core Capabilities

Automated Status Collection

Daily Check-ins: Asynchronous status gathering via DMs
Smart Inference: Extract status from Slack activity and git commits
Progress Visualization: Real-time dashboards and status boards
Blocker Detection: Automated identification of impediments

Intelligent Meeting Management

Bi-weekly Rhythm: Wednesday progress sync meetings and Sunday progress + planning sessions
Wednesday Meetings: Focus on current progress sync, blocker identification, and problem resolution
Sunday Meetings: Progress review + next week task planning and assignment
Interactive Facilitation: Slack blocks for structured participation
Agenda Generation: Context-aware meeting preparation
Action Item Tracking: Automatic creation and follow-up of commitments

Smart Task Management

Conversation Mining: Extract tasks from informal communications
Assignment Logic: Match tasks to team members based on skills and capacity
Priority Scoring: Business impact-weighted task prioritization
Dependency Resolution: Automatic detection and management of task dependencies

Communication Optimization

Response Escalation: 4-hour → 24-hour → public escalation timeline
Notification Intelligence: Reduce fatigue through smart batching and filtering
Cross-team Coordination: Facilitate collaboration between engineering disciplines
Slash Command Interface: Quick access to common PMO functions

Advanced Capabilities

Predictive Analytics

Effort Estimation: Machine learning-based task sizing
Delivery Forecasting: Sprint and milestone completion predictions
Risk Assessment: Early warning system for potential delays
Capacity Optimization: Workload balancing recommendations

Knowledge Management

Decision Documentation: Capture and catalog technical decisions
Context Preservation: Maintain searchable project history
Learning System: Improve accuracy through feedback loops
Best Practice Extraction: Identify and codify successful patterns

External Integrations

Primary Integrations

Slack Workspace

Events API: Real-time message monitoring and interaction handling
Interactive Components: Buttons, modals, and blocks for user engagement
Bot User: Direct messaging and channel participation
Slash Commands: Custom command registration and handling
File Sharing: Document exchange and screenshot analysis

Notion Workspace

Database API: Project, task, and team database synchronization
Page Creation: Automated documentation and report generation
Property Updates: Real-time status and progress synchronization
Formula Integration: Calculated fields for metrics and analytics
Template Management: Standardized project and task templates

Git Repositories

Webhook Integration: Commit, PR, and deployment event monitoring
Activity Analysis: Code contribution patterns and velocity metrics
Branch Tracking: Feature development progress monitoring
Code Review Integration: PR status and review completion tracking

Calendar Systems

Availability Checking: Team member schedule integration
Meeting Scheduling: Automated calendar event creation
Timezone Management: Global team coordination support
Conflict Detection: Schedule overlap identification and resolution

Workflow Definition

Below is the comprehensive workflow definition in JSON format, structured according to the system's node specification framework:

{
  "name": "PMO Agent Workflow",
  "description": "Comprehensive AI-powered project management office automation workflow",
  "settings": {
    "timezone": { "name": "Asia/Shanghai" },
    "save_execution_progress": true,
    "save_manual_executions": true,
    "timeout": 3600,
    "error_policy": "continue",
    "caller_policy": "workflow"
  },
  "nodes": [
    {
      "id": "slack_trigger",
      "name": "Slack Event Trigger",
      "type": "TRIGGER",
      "subtype": "SLACK",
      "position": { "x": 100, "y": 100 },
      "parameters": {
        "event_types": "[\"message\", \"app_mention\", \"slash_command\", \"interactive_message\"]",
        "mention_required": false,
        "ignore_bots": true,
        "channel_filter": "#general|#engineering|DM"
      }
    },
    {
      "id": "cron_daily_standup",
      "name": "Daily Standup Trigger",
      "type": "TRIGGER",
      "subtype": "CRON",
      "position": { "x": 100, "y": 300 },
      "parameters": {
        "cron_expression": "0 9 * * MON-FRI",
        "timezone": "Asia/Shanghai",
        "enabled": true
      }
    },
    {
      "id": "cron_wednesday_checkin",
      "name": "Wednesday Check-in Trigger",
      "type": "TRIGGER",
      "subtype": "CRON",
      "position": { "x": 100, "y": 500 },
      "parameters": {
        "cron_expression": "0 14 * * WED",
        "timezone": "Asia/Shanghai",
        "enabled": true
      }
    },
    {
      "id": "cron_sunday_planning",
      "name": "Sunday Planning Trigger",
      "type": "TRIGGER",
      "subtype": "CRON",
      "position": { "x": 100, "y": 700 },
      "parameters": {
        "cron_expression": "0 10 * * SUN",
        "timezone": "Asia/Shanghai",
        "enabled": true
      }
    },
    {
      "id": "git_webhook",
      "name": "Git Activity Trigger",
      "type": "TRIGGER",
      "subtype": "GITHUB",
      "position": { "x": 100, "y": 900 },
      "parameters": {
        "github_app_installation_id": "{{GITHUB_APP_INSTALLATION_ID}}",
        "repository": "{{GITHUB_REPOSITORY}}",
        "event_config": "{\"push\": {\"branches\": [\"main\", \"develop\"]}, \"pull_request\": {\"actions\": [\"opened\", \"closed\", \"merged\"]}, \"workflow_run\": {\"conclusions\": [\"success\", \"failure\"]}}",
        "ignore_bots": true
      }
    },
    {
      "id": "team_onboarding_trigger",
      "name": "Team Onboarding Trigger",
      "type": "TRIGGER",
      "subtype": "MANUAL",
      "position": { "x": 100, "y": 1100 },
      "parameters": {
        "trigger_name": "Initialize PMO Agent",
        "description": "Start team onboarding process when PMO Agent is first deployed"
      }
    },
    {
      "id": "team_onboarding_facilitator",
      "name": "Team Onboarding & Setup AI",
      "type": "AI_AGENT",
      "subtype": "ANTHROPIC_CLAUDE",
      "position": { "x": 400, "y": 1100 },
      "parameters": {
        "system_prompt": "You are a friendly team onboarding facilitator for a new PMO Agent deployment. Your goal is to collect essential team information through polite, conversational Slack interactions. Gather: 1) Team member details (names, roles, skills, GitHub usernames, timezones) 2) Current project information (names, repositories, contributors, status) 3) Team preferences (meeting times, communication styles, working hours). Use a warm, professional tone. Ask questions progressively - don't overwhelm with long surveys. Validate information before proceeding. Create structured data for Notion database initialization. Handle incomplete responses gracefully and follow up politely.",
        "model_version": "claude-3-sonnet",
        "temperature": 0.4,
        "max_tokens": 2048
      }
    },
    {
      "id": "notion_database_initializer",
      "name": "Notion Database Initializer",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 700, "y": 1100 },
      "parameters": {
        "url": "https://api.notion.com/v1/databases",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{NOTION_API_TOKEN}}\", \"Content-Type\": \"application/json\", \"Notion-Version\": \"2022-06-28\"}",
        "response_format": "json"
      }
    },
    {
      "id": "message_classifier",
      "name": "Message Classification AI",
      "type": "AI_AGENT",
      "subtype": "ANTHROPIC_CLAUDE",
      "position": { "x": 400, "y": 100 },
      "parameters": {
        "system_prompt": "You are a message classification expert for PMO operations with access to real-time Notion project data via MCP connections. Analyze incoming Slack messages and classify them into categories: 'status_update', 'blocker_report', 'task_request', 'meeting_response', 'general_discussion'. Use MCP to query current task statuses, project contexts, and team assignments to enhance classification accuracy. Extract any action items, deadlines, or blockers mentioned, and cross-reference with existing Notion data. Respond with JSON format: {\"category\": \"...\", \"action_items\": [...], \"blockers\": [...], \"urgency\": \"low|medium|high\", \"requires_response\": boolean, \"notion_context\": {...}}",
        "model_version": "claude-3-sonnet",
        "temperature": 0.3,
        "max_tokens": 1024
      }
    },
    {
      "id": "status_aggregator",
      "name": "Status Aggregation AI",
      "type": "AI_AGENT",
      "subtype": "OPENAI_CHATGPT",
      "position": { "x": 400, "y": 300 },
      "parameters": {
        "system_prompt": "You are a project status aggregation specialist with access to real-time Notion project databases via MCP connections. Query current task statuses, project milestones, team capacity, and historical performance data from Notion. Compile individual team member status updates into a comprehensive team status report that includes progress summary, blockers, upcoming deliverables, and risk assessment. Cross-reference Slack updates with actual Notion task data to identify discrepancies. Generate actionable insights and recommendations for leadership based on real-time project data.",
        "model_version": "gpt-4",
        "temperature": 0.2,
        "max_tokens": 2048
      }
    },
    {
      "id": "wednesday_sync_facilitator",
      "name": "Wednesday Progress Sync AI",
      "type": "AI_AGENT",
      "subtype": "GOOGLE_GEMINI",
      "position": { "x": 400, "y": 500 },
      "parameters": {
        "system_prompt": "You are a Wednesday progress sync meeting facilitator with access to real-time Notion project data via MCP connections. Query current task statuses, project progress, and team workloads from Notion before and during meetings. Main responsibilities: 1) Collect current progress updates from each team member and compare with Notion data 2) Identify and discuss current blockers, referencing historical solutions in Knowledge Base 3) Coordinate solutions and support needs based on team capacity data 4) Assess goal achievement for remaining week time using actual project metrics. Update Notion meeting records and task statuses in real-time. Keep meetings focused on progress sync and problem resolution, within 30 minutes.",
        "model_version": "gemini-pro",
        "temperature": 0.3,
        "max_tokens": 2048
      }
    },
    {
      "id": "sunday_planning_facilitator",
      "name": "Sunday Planning Meeting AI",
      "type": "AI_AGENT",
      "subtype": "ANTHROPIC_CLAUDE",
      "position": { "x": 400, "y": 600 },
      "parameters": {
        "system_prompt": "You are a Sunday planning meeting facilitator with deep access to Notion project databases via MCP connections. Query comprehensive project data including task completion history, team performance metrics, sprint velocity, and capacity planning data. Main responsibilities: 1) Review last week's completion and milestone achievement using actual Notion data 2) Analyze team velocity and bottlenecks based on historical task data 3) Plan next week's tasks and priorities considering team skills matrix and current workloads 4) Assign tasks to appropriate team members based on capacity and expertise data from Notion 5) Identify dependencies and risks using project relationship data 6) Set next week's goals and success criteria, updating Notion project milestones. Maintain comprehensive meeting records in Notion. Balance retrospective and forward-looking planning, within 45 minutes.",
        "model_version": "claude-3-sonnet",
        "temperature": 0.4,
        "max_tokens": 2048
      }
    },
    {
      "id": "task_manager",
      "name": "Intelligent Task Management AI",
      "type": "AI_AGENT",
      "subtype": "ANTHROPIC_CLAUDE",
      "position": { "x": 400, "y": 700 },
      "parameters": {
        "system_prompt": "You are an intelligent task management system with comprehensive access to Notion project and team data via MCP connections. Query team skills matrix, current workload data, project contexts, and historical task completion metrics from Notion. Analyze incoming requests and conversations to extract actionable tasks. Determine appropriate assignees based on real-time team expertise, current workload, and project context from Notion data. Reference historical similar tasks for accurate effort estimation. Identify dependencies using project relationship data and set appropriate priorities based on current project status. Create well-structured task descriptions with clear acceptance criteria and automatically update Notion task database with new assignments.",
        "model_version": "claude-3-opus",
        "temperature": 0.3,
        "max_tokens": 1536
      }
    },
    {
      "id": "analytics_engine",
      "name": "Analytics & Insights AI",
      "type": "AI_AGENT",
      "subtype": "OPENAI_CHATGPT",
      "position": { "x": 400, "y": 900 },
      "parameters": {
        "system_prompt": "You are a data analytics expert specializing in engineering team performance with full access to Notion project databases via MCP connections. Query comprehensive historical data including task completion rates, team velocity metrics, project timelines, and performance indicators from Notion. Analyze team metrics, velocity trends, communication patterns, and project health indicators using real project data. Generate predictive insights for project delivery based on historical completion patterns, identify bottlenecks using actual task flow data, and recommend optimization strategies. Automatically update Notion Knowledge Base with insights and recommendations. Present findings in clear, actionable reports with data-driven evidence.",
        "model_version": "gpt-4-turbo",
        "temperature": 0.1,
        "max_tokens": 2048
      }
    },
    {
      "id": "slack_responder",
      "name": "Slack Response Handler",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 700, "y": 200 },
      "parameters": {
        "url": "https://slack.com/api/chat.postMessage",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{SLACK_BOT_TOKEN}}\", \"Content-Type\": \"application/json\"}",
        "response_format": "json"
      }
    },
    {
      "id": "notion_sync",
      "name": "Notion Database Sync",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 700, "y": 400 },
      "parameters": {
        "url": "https://api.notion.com/v1/pages",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{NOTION_API_TOKEN}}\", \"Content-Type\": \"application/json\", \"Notion-Version\": \"2022-06-28\"}",
        "response_format": "json"
      }
    },
    {
      "id": "calendar_integration",
      "name": "Calendar Event Manager",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 700, "y": 600 },
      "parameters": {
        "url": "https://www.googleapis.com/calendar/v3/calendars/primary/events",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{GOOGLE_CALENDAR_TOKEN}}\", \"Content-Type\": \"application/json\"}",
        "response_format": "json"
      }
    },
    {
      "id": "escalation_manager",
      "name": "Response Escalation Logic",
      "type": "FLOW",
      "subtype": "IF",
      "position": { "x": 700, "y": 800 },
      "parameters": {
        "condition": "response_time > 4_hours && priority == 'high'",
        "true_branch": "escalate_to_public",
        "false_branch": "continue_monitoring"
      }
    },
    {
      "id": "data_processor",
      "name": "Team Data Aggregator",
      "type": "ACTION",
      "subtype": "DATA_TRANSFORMATION",
      "position": { "x": 1000, "y": 300 },
      "parameters": {
        "transformation_type": "aggregate",
        "transformation_rule": "GROUP BY team_member, project, date; SUM(tasks_completed), SUM(hours_worked), COUNT(blockers_reported)",
        "operation": "aggregate",
        "grouping_fields": ["team_member", "project", "date"],
        "aggregation_functions": {
          "tasks_completed": "sum",
          "hours_worked": "sum",
          "blockers_reported": "count"
        }
      }
    },
    {
      "id": "notion_report_generator",
      "name": "Notion Report Generator",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 1000, "y": 500 },
      "parameters": {
        "url": "https://api.notion.com/v1/pages",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{NOTION_API_TOKEN}}\", \"Content-Type\": \"application/json\", \"Notion-Version\": \"2022-06-28\"}",
        "response_format": "json"
      }
    },
    {
      "id": "notion_activity_logger",
      "name": "Notion Activity Logger",
      "type": "ACTION",
      "subtype": "HTTP_REQUEST",
      "position": { "x": 1000, "y": 700 },
      "parameters": {
        "url": "https://api.notion.com/v1/pages",
        "method": "POST",
        "headers": "{\"Authorization\": \"Bearer {{NOTION_API_TOKEN}}\", \"Content-Type\": \"application/json\", \"Notion-Version\": \"2022-06-28\"}",
        "response_format": "json"
      }
    }
  ],
  "connections": {
    "slack_trigger": {
      "main": [{ "node": "message_classifier", "type": "main", "index": 0 }]
    },
    "cron_daily_standup": {
      "main": [{ "node": "status_aggregator", "type": "main", "index": 0 }]
    },
    "cron_wednesday_checkin": {
      "main": [
        { "node": "wednesday_sync_facilitator", "type": "main", "index": 0 }
      ]
    },
    "cron_sunday_planning": {
      "main": [
        { "node": "sunday_planning_facilitator", "type": "main", "index": 0 }
      ]
    },
    "git_webhook": {
      "main": [{ "node": "analytics_engine", "type": "main", "index": 0 }]
    },
    "team_onboarding_trigger": {
      "main": [
        { "node": "team_onboarding_facilitator", "type": "main", "index": 0 }
      ]
    },
    "team_onboarding_facilitator": {
      "main": [
        { "node": "slack_responder", "type": "main", "index": 0 },
        { "node": "notion_database_initializer", "type": "main", "index": 0 }
      ]
    },
    "notion_database_initializer": {
      "main": [{ "node": "notion_sync", "type": "main", "index": 0 }]
    },
    "message_classifier": {
      "main": [
        { "node": "task_manager", "type": "main", "index": 0 },
        { "node": "escalation_manager", "type": "main", "index": 0 }
      ]
    },
    "status_aggregator": {
      "main": [
        { "node": "slack_responder", "type": "main", "index": 0 },
        { "node": "notion_sync", "type": "main", "index": 0 }
      ]
    },
    "wednesday_sync_facilitator": {
      "main": [
        { "node": "slack_responder", "type": "main", "index": 0 },
        { "node": "notion_sync", "type": "main", "index": 0 }
      ]
    },
    "sunday_planning_facilitator": {
      "main": [
        { "node": "task_manager", "type": "main", "index": 0 },
        { "node": "slack_responder", "type": "main", "index": 0 },
        { "node": "calendar_integration", "type": "main", "index": 0 }
      ]
    },
    "task_manager": {
      "main": [
        { "node": "notion_sync", "type": "main", "index": 0 },
        { "node": "slack_responder", "type": "main", "index": 0 }
      ]
    },
    "analytics_engine": {
      "main": [
        { "node": "data_processor", "type": "main", "index": 0 },
        { "node": "notion_report_generator", "type": "main", "index": 0 }
      ]
    },
    "escalation_manager": {
      "true": [{ "node": "slack_responder", "type": "main", "index": 0 }],
      "false": [{ "node": "notion_activity_logger", "type": "main", "index": 0 }]
    },
    "data_processor": {
      "main": [{ "node": "notion_activity_logger", "type": "main", "index": 0 }]
    },
    "notion_report_generator": {
      "main": [{ "node": "slack_responder", "type": "main", "index": 0 }]
    }
  },
  "static_data": {
    "escalation_channels": "{\"high\": \"#all-starmates\", \"medium\": \"#general\", \"low\": \"DM\"}",
    "business_hours": "{\"start\": \"09:00\", \"end\": \"20:00\", \"timezone\": \"Asia/Shanghai\"}"
  },
  "tags": [
    "pmo",
    "automation",
    "team-management",
    "slack-integration",
    "notion-sync"
  ]
}

Workflow Execution Flow

Event Triggers: Multiple trigger points capture team activities (Slack messages, scheduled events, git activity)
AI Processing: Specialized AI agents analyze and process different types of inputs
Action Execution: Automated responses through Slack, Notion updates, calendar management
Data Management: Activity logging and analytics processing for continuous improvement
Escalation Handling: Intelligent routing based on urgency and response patterns

Success Metrics & KPIs

Response Time: Target <12 hours for status updates
Meeting Efficiency: Target <45 minutes for structured meetings
Task Completion Accuracy: >85% accurate effort estimation
Blocker Resolution Time: <24 hours average resolution
Team Satisfaction: >4.0/5.0 rating on quarterly surveys
Automation Rate: >70% of PMO tasks automated
Communication Efficiency: 50% reduction in notification fatigue

This comprehensive PMO Agent Workflow provides a robust foundation for automated project management while maintaining the flexibility to adapt to different team structures and requirements.

Executive Summary​

Key Value Propositions​

Problem Statement & Use Cases​

Primary Problem​

Target Use Cases​

1. Daily Operations Management​

2. Sprint Planning & Execution​

3. Stakeholder Communication​

4. Knowledge Management​

Agent Core Components​

1. Communication Engine​

2. Workflow Orchestration Engine​

3. Analytics & Intelligence Engine​

4. Integration Hub​

5. Knowledge Management Layer​

6. Team Onboarding & Initialization Engine​

7. Notion Database Structure & Maintenance​

7.1 Projects Database​

7.2 Individual Tasks Database​

7.3 Team Members Database​

7.4 Meeting Records Database​

7.5 Knowledge Base Database​

7.6 Automatic Maintenance Mechanisms​

Real-time Synchronization​

Automated Data Updates​

Data Quality Assurance​

Agent Capabilities Specification​

Team Onboarding Capabilities​

Intelligent Team Discovery​

Initial Setup Process​

Conversation Examples​

Core Capabilities​

Automated Status Collection​

Intelligent Meeting Management​

Smart Task Management​

Communication Optimization​

Advanced Capabilities​

Predictive Analytics​

Knowledge Management​

External Integrations​

Primary Integrations​

Slack Workspace​

Notion Workspace​

Git Repositories​

Calendar Systems​

Workflow Definition​

Workflow Execution Flow​

Success Metrics & KPIs​

Executive Summary

Key Value Propositions

Problem Statement & Use Cases

Primary Problem

Target Use Cases

1. Daily Operations Management

2. Sprint Planning & Execution

3. Stakeholder Communication

4. Knowledge Management

Agent Core Components

1. Communication Engine

2. Workflow Orchestration Engine

3. Analytics & Intelligence Engine

4. Integration Hub

5. Knowledge Management Layer

6. Team Onboarding & Initialization Engine

7. Notion Database Structure & Maintenance

7.1 Projects Database

7.2 Individual Tasks Database

7.3 Team Members Database

7.4 Meeting Records Database

7.5 Knowledge Base Database

7.6 Automatic Maintenance Mechanisms

Real-time Synchronization

Automated Data Updates

Data Quality Assurance

Agent Capabilities Specification

Team Onboarding Capabilities

Intelligent Team Discovery

Initial Setup Process

Conversation Examples

Core Capabilities

Automated Status Collection

Intelligent Meeting Management

Smart Task Management

Communication Optimization

Advanced Capabilities

Predictive Analytics

Knowledge Management

External Integrations

Primary Integrations

Slack Workspace

Notion Workspace

Git Repositories

Calendar Systems

Workflow Definition

Workflow Execution Flow

Success Metrics & KPIs