raia
  • Welcome to raia v2
  • Why use raia
  • Core Features of raia
  • Multi-Agent Architecture
  • Launching an AI Agent
    • Step-by-Step Guide
  • AI Training
    • Setup of Instructions
    • Documents for Training
    • Setup of Knowledge Base
  • AI Agent Skills
  • Setup of Skills
    • Live Chat
    • SMS
    • Email
    • Voice
    • Scoring
    • Webhooks
    • API
    • Live Chat SDK
    • Functions
    • Memory
  • AI Agent Packs
  • Multi-Level Access & Agent Security
  • Setup of Access Control
  • Integration & Workflow
    • n8n Node
  • Monitoring & Reporting
  • API Documentation
  • Sample AI Agent Roles
    • AI Sales Agent
    • AI Support Agent
    • AI Content Writer
    • AI Project Manager
  • Copilot
    • Copilot vs Chat GPT
    • How it works
    • Admin Mode
    • Human in the Loop
    • Human Feedback
  • OpenAI Integration
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On this page
  • đź“‹ How to Build a Project Manager AI Agent in raia v2
  • đź§± Step 1: Define the Agent’s Role
  • đź§  Step 2: Write Smart Instructions
  • 📚 Step 3: Upload Project Docs and Shared Memory
  • đź”— Step 4: Connect to Project Management Tools
  • ✉️ Step 5: Enable Multi-Channel Communication
  • 🔄 Step 6: Automate Regular Updates
  • đź§© Summary: Project Manager Agent Setup
  • đź’ˇ Example Use Cases
  • 📌 Final Thoughts
  1. Sample AI Agent Roles

AI Project Manager

đź“‹ How to Build a Project Manager AI Agent in raia v2

Managing projects across teams and tools is hard. Updates get buried, teammates miss meetings, and the “source of truth” is often scattered across Jira tickets, Slack threads, and docs.

With raia v2, you can build a smart, always-on Project Manager AI Agent that:

  • Summarizes meeting transcripts

  • Tracks updates across tools like Jira, Confluence, and Trello

  • Provides real-time answers to your team via Copilot, Email, or SMS

  • Automates weekly updates and reminders

  • Maintains both shared team memory and personalized memory

Let’s walk through how to build and deploy it.


🧱 Step 1: Define the Agent’s Role

Create a new Agent in Launch Pad and choose a role like “Project Manager”, or create a custom role like “Team Updates Bot” or “PM Assistant.”

Your Project Manager Agent should:

  • Keep the team aligned with regular project updates

  • Help team members catch up on what they missed

  • Summarize meeting notes or standups

  • Answer questions about progress, owners, and deadlines

  • Integrate with your project management tools and documentation


đź§  Step 2: Write Smart Instructions

Use the Instructions field to guide the Agent’s behavior, tone, and responsibilities.

Sample Instructions:

You are a helpful and organized AI Project Manager for the Product Team at ACME Inc.

Your job is to summarize updates from meetings, track the status of tasks from platforms like Jira or Trello, and help the team stay aligned.

Always write in a clear, concise, and neutral tone.

Summarize long threads or transcripts into bullet points. Focus on:
- Project goals
- Progress updates
- Blockers
- Next steps
- Assigned owners

If asked about a project, provide the latest known status, owner, and any relevant notes from past updates.

Use shared team memory (uploaded docs) for consistent answers. Also store individual interactions using personal memory to help follow up later.

Do not make up deadlines or estimates—refer to Jira or Trello data when possible.

If you're unsure about something, respond with:
> “I'm not seeing that in the latest updates. You may want to check with the project lead.”

📚 Step 3: Upload Project Docs and Shared Memory

To ensure your AI Agent provides accurate and consistent answers, upload:

  • Project briefs

  • Roadmaps

  • Confluence meeting notes

  • Retrospectives and summaries

  • Team roles and responsibilities

  • Jira sprint plans or Trello board exports (Markdown or JSON format)

These documents form the shared team memory, making the Agent a single source of truth for anyone who needs project context.

You can also enable personal memory, so the Agent can:

  • Recall who asked what

  • Follow up on previously discussed items

  • Tailor updates based on individual project involvement


đź”— Step 4: Connect to Project Management Tools

Your Project Manager Agent can use API/Webhook integrations via n8n to pull and push data from your PM tools.

Common Integrations:

  • âś… Jira: Fetch tickets, owners, and statuses. Summarize epics.

  • âś… Trello: Monitor board changes, task comments, due dates.

  • âś… Confluence: Parse and summarize meeting notes or documentation.

  • âś… Slack or Teams: Send summary messages or respond to update requests.

  • âś… Google Meet / Zoom: Feed in meeting transcripts via Zapier or n8n for automated summarization.

Example Flow (via n8n):

  1. New Jira issue comment or Trello update

  2. Trigger webhook

  3. AI Agent summarizes changes

  4. Posts summary to Slack channel or sends email to the team

You can even schedule weekly or daily digests automatically.


✉️ Step 5: Enable Multi-Channel Communication

Your Project Manager Agent can keep the team informed across:

âś… Copilot

  • Use it like ChatGPT, but trained on your projects

  • Ask: “What’s the status of the website launch?” or “What’s blocked in Sprint 12?”

âś… Email

  • Agent receives and responds to update requests

  • Can send daily or weekly digest emails automatically

âś… SMS

  • Use SMS for quick check-ins, reminders, or escalations (e.g., “What’s overdue today?”)

You can also trigger replies or summary reports based on keywords like "update," "progress," or "summary."


🔄 Step 6: Automate Regular Updates

Use the Campaigns feature or integrate with n8n to automate:

  • 🗓️ Daily standup summaries

  • đź“… Weekly progress emails

  • âś… Sprint review summaries

  • 📤 Slack updates after meetings

Each message can be personalized with project name, owner, and most recent change logs, pulled from your connected tools.


đź§© Summary: Project Manager Agent Setup

Step
Task

1. Role

Choose or create "Project Manager" Agent

2. Instructions

Define tone, responsibility, memory use

3. Upload Docs

Add shared memory (briefs, sprints, updates)

4. Integrate

Connect Jira, Trello, Confluence via API/Webhook

5. Multi-Channel

Enable Copilot, Email, SMS for access

6. Automate

Send updates and summaries daily or weekly


đź’ˇ Example Use Cases

Use Case
Trigger
Output

Missed Meeting

Manual (Copilot)

Summarized transcript

Sprint Status Update

Scheduled (n8n)

Email digest

“What’s Next?” Question

SMS or Copilot

Tasks by priority or owner

Task Escalation

Jira status change

Slack alert via webhook


📌 Final Thoughts

Your Project Manager AI Agent helps you:

  • Keep the team aligned

  • Automate tedious reporting

  • Centralize project knowledge

  • Make updates accessible to everyone, anytime

Whether your team is in different time zones or just drowning in tasks, your Agent is always ready to summarize, organize, and respond.

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Last updated 1 month ago