Data Sovereignty
The next phase of enterprise AI will separate companies that control their operating infrastructure from those that become dependent on someone else's.
Webinar: Data Sovereignty
31st August · 3:00 pm CT / 4:00 pm ET · 1 hour + Q&A
Register for the Webinar here →The Core Idea
Rent the Intelligence. Own What Makes it Valuable
AI models are becoming cheaper, more capable, and increasingly interchangeable. The lasting enterprise value sits in the workflows, proprietary data, and operating logic that make your business unique.
When those layers live inside an AI vendor’s platform, your company may gain convenience, but it risks giving up control over the systems that create enterprise value.
Intelligence
Models and reasoning capability
Rent it
Operating Layer
Workflows, integrations, permissions, and business logic
Own it
Data
Proprietary context, institutional knowledge and feedback loops
Own it
Partner Perspective
Who Owns Your AI Operating Layer?
Bradley Herman, Co-Founder & Managing Partner - 7 min read
AI models are becoming cheaper and more capable. As intelligence becomes commoditized, long-term enterprise value is shifting to the workflows, proprietary data, and operating logic that make each business unique. The companies that retain control of those assets will define the next phase of enterprise AI.
"Once your workflows and data begin fueling someone else’s system, you have to ask two basic questions: What do I still own, and where does the value of my business reside?"
The Series Continues
More Perspectives On Data Sovereignty
Listen 🎧
Disruption Intelligence Podcast
A deeper conversation on who should control the data, workflows, and operating logic behind enterprise AI.
Conversation coming soon
Read 📖
Data Sovereignty Memo
A practical framework for thinking about intelligence, operating-layer ownership, proprietary data, and enterprise AI infrastructure.
Coming soon
Where To Go Next
One Thesis. Three Ways to Act On It.
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