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In Brief
SmarterX founder and CEO Paul Roetzer has publicly unveiled the Eight Pillars of Business AI Transformation, the core of a new AI transformation system he has spent months building.
Its 67 underlying elements let organizations answer a question almost none can today: How mature are we, actually, when it comes to AI?
What Happened
Roetzer started sharing the framework in his ExecAI Insider newsletter, the first public piece of a larger system of transformation frameworks and tools set for full release later this year.
The eight pillars, covering the full scope of what it takes to transform with AI, not just the technology piece, are:
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Vision
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Strategy
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Data
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Technology
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Governance
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Literacy
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People
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Performance
The framework caps a decade of buildup. Roetzer founded Marketing AI Institute in 2016, and when COVID canceled its 2020 Marketing AI Conference, roughly 30 speakers turned their planned talks into courses, which became version one of AI Academy. The Piloting AI and Scaling AI certificate series followed in 2023 and 2024, and in 2025 the whole thing was relaunched on an AI-powered learning platform. Along the way, the mission shifted from courses to outcomes. "Academy doesn't sell courses. We sell and power the idea of transformation," Roetzer told his team. He told salespeople not to sell licenses until a customer could define what success looks like.
Roetzer did not have AI write the framework. He spent months in iterative strategic planning sessions with Claude, mainly the Sonnet 4.6 model, building outlines, going back and forth, and adapting the thinking himself.
Each pillar answers two questions:
1. Where are we?
2. What do we have to do to reach the desired state?
Roetzer walked through the full framework, and the story behind it, on Episode 224 of The Artificial Intelligence Show.
The Key Numbers
8 - Pillars that define business AI transformation
67 - Elements underlying the eight pillars
2016 - Founding year of Marketing AI Institute, when the work began
30 - Conference speakers whose canceled 2020 talks became AI Academy version one
0 - Organizations Roetzer has seen score highly across all eight pillars
Why Enterprises Can't Transform Like AI-Native Companies
Transformation starts at the top. The first pillar, Vision, asks whether leaders have built the shared understanding to sustain transformation, starting with whether the C-suite grasps what today's AI models can do. Roetzer is blunt about what happens when they don't. "If the CEO isn't AI forward him or herself, then you are going to go nowhere," he says. Department-level innovation, he adds, fails unless the C-suite mandates AI as a top priority and understands why.
Handing out tools is not a strategy. The Technology pillar exists because access alone keeps failing. "Companies just give people access to Copilot, ChatGPT, Claude, or Gemini, and they're like, 'Here, figure it out. Here's a few use cases, a few prompts,'" says Roetzer. "That is not enough." The remaining pillars fill in what that approach skips: a resourced roadmap, AI-ready data with guardrails, governance policies and oversight, education and training, support for people through the change, and measurable business results.
Nobody is as far along as the hype suggests. "I have yet to talk to a single organization that would score highly across these eight pillars," Roetzer says. Scoring highly across all eight, what he calls the transformation phase, remains aspirational for everyone.
The move-fast playbook doesn't survive in a big company. Much of the loudest AI advice comes from AI-native startups, young companies built from scratch around AI: move faster, cut people, run agents around the clock. Roetzer says that playbook does not map onto large organizations.
"Enterprises can't do that. It just doesn't work that way. There's too much friction. There's too many legacy systems. There's too many guardrails in place for usage. You have to take a methodical approach."
— Paul Roetzer, founder and CEO of SmarterX, Episode 224 of The Artificial Intelligence Show
Parts of a company can still move fast, such as centers of excellence, small teams that experiment ahead of everyone else. But true enterprise transformation requires a system, and that's what he has been building.
SmarterX Take
Use the pillars as a mirror. Walk through all eight with your leadership team and honestly place your organization within each one. Most companies will find they are strong in one or two areas at best and weak nearly everywhere else. This tells you what to fix first and what success should look like in 12 months.
Pay special attention to literacy. SmarterX research has validated year after year that lack of education and training is the number one roadblock to AI adoption inside enterprises. If your organization has rolled out tools but not training, you have completed just one-eighth of the job.
What to Watch
Beta access opens first for AI Academy business account customers. SmarterX has already built some of the assessment tools tied to the pillars and plans a soft rollout to business accounts in the near future, with a full public release in late summer or early fall. Existing AI Academy business account customers can reach out for early access.
The framework will keep unfolding in public. Roetzer plans to expand on the pillars in future newsletters and podcast episodes, including a separate assessment for individual transformation, since business AI transformation is ultimately a collection of personal transformations.
How Many Organizations Have the Foundations to Transform?
Only 13% of organizations have all four core governance foundations in place: an AI roadmap, an AI council, generative AI policies, and an AI ethics policy, according to the 2026 State of AI for Business Report. A third have none. Little wonder Roetzer has yet to meet an organization that scores highly across all eight pillars: Most are still missing the basic building blocks.
The full report, based on 2,100+ responses from professionals across roles, functions, and industries, benchmarks where organizations actually stand on adoption, governance, training, and tooling, a useful first read before you score yourself against the pillars. Read the full report →
Mike Kaput
Mike Kaput is the Chief Content Officer at SmarterX and a leading voice on the application of AI in business. He is the co-author of Marketing Artificial Intelligence and co-host of The Artificial Intelligence Show podcast.