Version 1.0-alpha
Created by Brian W. | Contact: BrianWBuilds.PM@gmail.com
Licensed under CC BY-NC 4.0
AI-PMS is a structured framework designed to help project managers deliver AI and machine learning initiatives effectively and responsibly.
It bridges traditional PM methods with the unique challenges of AI, including data uncertainty, model iteration, ethical risk, and cross-functional misalignment.
- PMBOK and Agile are not designed for AI’s non-determinism
- AI initiatives often fail due to poor structure, not poor models
- AI-PMS enables clarity, accountability, and ethical oversight from day one
- Initiate – Feasibility, data audit, stakeholder alignment
- Plan – Metrics, risks, adaptive timelines
- Build – Pipeline, experiments, reproducibility
- Validate – Accuracy, fairness, explainability
- Deploy – Monitoring, rollback plans, integration
- Maintain – Retraining, governance, failure tracking
- Full Phase 1: Initiate (with deliverables, agent prompts, and Lite version)
- Roadmap for framework evolution
- Licensing protections and scope definition
- Templates and tools (AI Feasibility Canvas, Risk Register, Checklists)
- Full details for Phases 2–6
- Organization Maturity Model
This project is licensed under CC BY-NC 4.0.
You may share and adapt it for non-commercial purposes with proper attribution.
Commercial use or rebranding requires written permission.