AI governance resources often assume you have a project manager, a compliance team, and an established governance function. That's not most people's reality.
Maybe you're a data scientist who got handed an AI project and is now responsible for "making sure we're doing this right." Maybe you're a PM encountering AI governance for the first time. Maybe you're a risk manager trying to figure out how existing frameworks apply to machine learning.
AIPMO is built to meet you where you are.
Two Dimensions That Matter
We've organized our content around two questions:
1. How mature is your organization's AI governance?
This isn't about company size — it's about what exists. A 10,000-person enterprise with no AI-specific policies is still starting from scratch.
| Maturity Level | What It Looks Like |
|---|---|
| Greenfield | No formal AI governance. No established policies, templates, or processes. You're building from zero. |
| Emerging | Some awareness, early efforts. Maybe a few policies exist, or you're creating the first repeatable processes. |
| Established | Formal AI governance function. Policies, review boards, compliance integration — you're working within existing structure. |
2. What resources and support do you have?
This is about who's doing the work and what help is available.
| Resource Level | What It Looks Like |
|---|---|
| Solo | It's you. Maybe a small team, but no dedicated governance, compliance, or PM support. |
| Supported | You have some backing — executive sponsorship, partial involvement from legal or compliance, maybe a PM. |
| Embedded | You're part of or working alongside a dedicated team — governance function, PMO, compliance, or ethics board. |
Find Your Starting Point
These two dimensions combine to define your context:
| Solo | Supported | Embedded | |
|---|---|---|---|
| Greenfield | Data scientist at startup, solo consultant, small team shipping AI | Technical lead with exec backing, first PM on AI projects | Enterprise team, resources available, but no AI governance yet |
| Emerging | One person building process alone | PM + growing governance involvement | Dedicated team formalizing practices |
| Established | Rare | PM coordinating with compliance/legal | Full AI governance function in place |
Most readers land in the upper-left quadrant — Greenfield maturity, limited support. Our content is designed with that reality in mind.
Content by Maturity Level
Greenfield: Start Here
You're building from scratch with minimal support. You need practical guidance without jargon.
What you'll find: Plain-language explanations, minimum viable approaches, templates you can use immediately. No assumption of PM training or governance background.
Start with:
- AI Impact Assessments: Running Them Like a PM
- AI Risk Classification: A Project Scoping Exercise
- The PM's Guide to NIST AI RMF
Playbooks: Greenfield playbooks give you the simplest defensible approach — what to do when you have limited time, budget, and organizational support.
Emerging: Building the Practice
You're creating repeatable processes, not just surviving individual projects. Maybe you're the one establishing how your organization handles AI governance.
What you'll find: Frameworks for building sustainable practices, templates designed for reuse, guidance on stakeholder engagement and organizational change.
Start with: The same foundational articles, plus playbooks focused on creating processes that scale beyond your current project.
Established: Working Within Structure
You're operating within formal governance. Your challenge is integration, not creation.
What you'll find: Guidance on aligning AI projects with existing compliance, governance, and PMO frameworks. How to work with review boards, satisfy audit requirements, and coordinate across functions.
Start with: Playbooks focused on documentation standards, integration points, and navigating organizational complexity.
For Technical Teams
If you're a data scientist, ML engineer, or technical lead who didn't sign up to be a governance expert — welcome. You're not alone.
The honest truth: Someone needs to think about risk, documentation, and accountability for AI systems. In many organizations, that someone is whoever's closest to the work. That's you.
What we offer:
- No PM-speak required. Greenfield content is written in plain language. We explain concepts without assuming you've managed projects before.
- Minimum viable governance. You don't need a 50-page policy. You need enough structure to ship responsibly and cover your bases.
- Clear escalation points. We'll tell you when something is beyond DIY governance and you need to pull in legal, compliance, or leadership.
Your starting path:
- AI Risk Classification — Figure out what level of governance your project actually needs
- AI Impact Assessments — The one exercise you should always do
- Greenfield playbooks — Step-by-step guidance sized for your reality
For Risk and Compliance Professionals
If you're coming from risk management, compliance, or legal, you understand governance — but AI systems may be new territory.
What we offer:
- Translation, not duplication. We map AI governance to frameworks you already know — risk management, impact assessment, documentation standards.
- PM perspective. Understanding how project teams think helps you provide guidance they'll actually follow.
- Practical integration. How AI governance fits with existing compliance, audit, and review processes.
Your starting path:
- OECD AI Principles — The values foundation behind most AI regulations
- ISO 42001 for Project Managers — The certifiable AI management standard
- AI Governance for U.S. Projects or EU AI Act Timeline — Regulatory landscape
Site Structure
Frameworks & Regulations The building blocks — major AI governance frameworks, standards, and regulations explained from a practical perspective.
PM Practice AI-specific guidance for project artifacts and processes — charters, risk registers, documentation, stakeholder management, monitoring.
Emerging Topics Developing areas like generative AI governance, agentic AI, and evolving best practices.
Free vs. Member Content
Free articles give you the concepts, frameworks, and principles. Enough to understand what good looks like.
Member playbooks give you implementation — step-by-step processes, templates, and detailed guidance tailored to your maturity level.
Questions?
Not sure where to start? Contact us — we're happy to point you in the right direction.