In Development
AI Project Manager
An agentic AI that actively participates in your project lifecycle
Overview
Unlike traditional project management tools where AI is bolted on as an afterthought, this system features an agentic AI that actively participates throughout all project phases - from initiation to closing. Built on PMI (Project Management Institute) best practices.
Philosophy
The AI isn't just an advisor - it's a team member that watches your project and takes action (with your permission). It bridges the gap between passive dashboards and active project assistance.
Key Features
Agentic AI ("See and Do")
- Sees: Continuously monitors project health - overdue tasks, high-impact risks, stakeholder engagement gaps, timeline issues
- Does: Proposes concrete actions (create tasks, update risks, draft communications) with clear reasoning
- Human-in-the-loop: All AI-proposed actions require user approval before execution
Project Management Foundation
- Multi-tenant architecture with role-based access
- Full project lifecycle management (Initiation → Planning → Execution → Monitoring → Closing)
- Task management with dependencies and assignments
- Risk register with probability/impact scoring
- Stakeholder management with power/interest grid
Chat-Based Interaction
- Natural language interface to query project status
- AI generates observations and recommendations in real-time
- Users can approve, reject, or modify proposed actions directly in chat
Tech Stack
| Layer | Technology |
|---|---|
| Backend | FastAPI, SQLAlchemy (async), PostgreSQL |
| Frontend | React, TypeScript, TailwindCSS, React Query |
| AI | OpenRouter API with configurable LLM models |
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