PMI launched an AI Factory, deployed generative AI tools to 35,000 employees, and built more than 450 AI use cases across the enterprise. That impressive track record is one of the reason why PMI won the 2025 Forrester EA Award.

PMI’s Enterprise Architecture & Technology Transformation (EA&TT) team redesigned its operating model to make AI scalable, governed, and reusable from day one. This is Forrester’s Outcome-Driven Architecture (ODA) model in practice: architecture that proves its value through risk reduction, speed, reuse, experience, and business value.

AI Governance First. Scale Second

AI engagements with our client typically start with AI governance. In most cases, shadow AI experiments multiply, risk controls vary by team, and no one owns the enterprise-wide picture. To avoid this potential crisis, PMI’s EA&TT team worked alongside legal, compliance, security, and strategy leaders, and co-developed an AI governance framework with embedded guardrails and defined risk management processes. They strengthened PMI’s Trustworthy AI Framework, introduced in April 2025, to enforce transparency and continuous monitoring for every AI system in production. This groundwork enabled PMI to scale AI adoption with zero regulatory surprises and zero brand trust incidents.

The AI Factory: Composability At Enterprise Scale

The next challenge we see across our client base is industrializing AI beyond initial pilots. Teams build one-off solutions, duplicate effort, and never achieve compounding returns. PMI’s EA&TT team cofounded the AI Factory to solve exactly this problem. This AI Factory produces reusable, compliant AI components that development teams assemble rather than rebuild from scratch. PMI reports 40% faster time-to-value and 30% less development effort compared to bespoke builds. The EA&TT team ensured every component met enterprise security and compliance standards before it entered the catalog. This is ODA’s composability principle at work: turning one-off innovation into enterprise leverage that compounds over time.

35,000 Employees With AI In Their Hands

Adoption is where many AI programs lose momentum. Tools get deployed, but workflows don’t change. PMI’s EA&TT team took a different approach, embedding AI directly into day-to-day work across demand forecasting, scientific research, and personalized consumer engagement.

More than 35,000 employees now have access to generative AI tools including Microsoft Copilot, and 65% of office-based staff use them regularly. The EA&TT team built transparent repositories and community mechanisms that let teams discover, share, and adopt proven solutions across the organization. The results show up in faster delivery cycles, better employee experience, and more adaptive customer engagement across every business unit.

What CIOs Should Take From PMI’s Playbook

We advise CIOs to think of enterprise architecture as a strategic capability, not a review function. PMI’s EA&TT team operated exactly this way: co-founding the AI Factory, co-designing governance with the C-suite, and embedding reusable architecture into every AI initiative.

Forrester’s ODA model defines six attributes of high-performing EA: valuable, accountable, influential, collaborative, agile, and innovative. PMI demonstrated all six as observable operating behaviors. They reduced technical debt, accelerated modularization, governed AI responsibly, trained a global architecture community, and embedded architecture into strategic value streams.

Want The Full Story?

This blog highlights only a fraction of PMI’s architecture transformation. To dive deeper into the data, examples, and operating‑model detail behind PMI’s award‑winning practice, read the full case study.