PMI publishes global standard for managing AI projects
The Project Management Institute has released a framework for managing AI initiatives across portfolios, programmes and projects. The standard, published in June 2026, provides guidance for teams developing AI systems, AI-enabled workflows and AI-powered products.
PMI said project professionals have lacked a dedicated framework for planning, governing and delivering AI transformation work. The new standard fills that gap with eight guiding principles, five performance domains and a lifecycle framework for designing, deploying and overseeing AI initiatives.
What the standard covers
The framework is technology-agnostic and built around human-in-the-loop oversight at every stage. It addresses AI business cases, tool selection, AI-specific risk management, ethics oversight and compliance with emerging requirements including the EU AI Act and ISO 42001.
PMI designed the standard to help project leaders align legal, audit, finance, technology and business teams around AI implementation objectives and governance requirements. A common language across departments reduces friction when deploying AI at scale.
The standard is available as a free digital download for PMI members. Non-members can access it through purchase or membership.
Why this matters for managers
Many AI initiatives fail not because of technical limitations, but because of project management, risk management, stakeholder alignment and organisational readiness issues. As organisations move from experimentation to production deployment, governance and operational oversight have become critical.
PMI's standard reflects a shift in how AI governance is being operationalised. Instead of broad principles, organisations now need practical processes embedded in project delivery. Emerging regulatory frameworks like the EU AI Act are driving this change, forcing teams to plan and manage AI initiatives differently.
For managers overseeing AI work, the framework provides a structure for translating governance requirements into deliverables. Learn more about AI for project managers or explore AI for Management to understand how these principles apply to your role.
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