What This Series Is About
Ninety-five percent of U.S. enterprises are deploying generative AI on their intellectual property, the most valuable assets they own. Fewer than one in four can connect that AI activity to measurable business outcomes. And as of January 2026, major insurers have begun excluding AI-related claims from standard commercial general liability policies.
This is the gap nobody is talking about clearly enough: enterprise AI governance has a demand-side problem.
The supply side (model certification, security testing, safety standards) is being built. What doesn’t exist yet is the infrastructure that governs what AI does inside the enterprise, with the intellectual property that defines how that enterprise competes.
This series is about that gap. How it formed. Why it’s widening. What it costs. And what building the right infrastructure actually looks like.
Each post stands alone. Together, they construct a single argument:
Intellectual Property (IP) is your currency. AI compounds it or dilutes it. The difference is governance infrastructure.
The Series At a Glance
This 10-part series is published biweekly, and structured in three parts. It builds the argument from liability exposure to operational architecture to proven deployment.
Part 1: The Problem Nobody Can See
Post 1 IP as Currency: The Missing Half of AI Governance: Why the demand side has no governance standard, and what it’s costing enterprises right now
Post 2 What AI Is Actually Doing with Your IP: Why 95% of enterprises can’t answer the most basic question: what did AI consume, and what did it produce?
Post 3 What Amazon Knew About AI Infrastructure Before AI Existed: The governance infrastructure Amazon built to govern transactions became worth more than everything moving through it. Enterprise AI is at the same inflection point.
Part 2: The Shift
Post 4 AI’s Six Sigma Moment: Every time a transformative technology scales faster than the organizations deploying it, a new discipline emerges to govern the gap, and creates an entirely new market. This is AI’s Six Sigma moment. → (Coming soon)
About the Author
Ken Herfurth is the Founder and CEO of Ander, the performance intelligence company. With 30 years in engineering and C-suite roles across financial services and technology, he has spent more than two decades building and operating enterprise IP systems. He writes about demand-side AI governance as an operator, with a firsthand view of the widening gap between what AI vendors promise and what enterprises can actually control.
Frequently Asked Questions
Series published biweekly beginning February 27, 2026. New posts added as published.
About Ander
Ander is the performance intelligence company that helps frontline organizations build habits, drive performance, and prove results. By combining data science, learning experience design, and technology in one integrated platform, and through a family of solutions including ESiQ, FUEL, Trivie, and AI Readiness. Ander serves Fortune 500 brands across automotive, retail, hospitality, entertainment, and food service.
