Most AI plans start with one goal: do the work faster. Faster reports, faster answers, faster approvals. But speed applied to poorly designed work gives you poorly designed work at higher volume.
AI Won’t Fix Broken Work Read More »
Amazon built a transaction infrastructure before it scaled. Most enterprises deploying AI today are scaling before the infrastructure exists. Seventy percent of firms have deployed AI; more than eighty percent report no measurable impact. That’s not a technology failure, it’s a governance failure.
What Amazon Knew About AI Infrastructure Before AI Existed Read More »
Enterprises are feeding AI their most valuable assets, and most cannot answer a basic question: what is it actually doing with them? This isn’t an AI capability problem. It’s an IP visibility problem. And the same blindness that creates liability also destroys ROI, because you cannot compound an asset you cannot see.
What AI Is Actually Doing With Your Intellectual Property Read More »
Part 1 of 10 – From Currency to Compounding: The Enterprise AI & IP Governance Series establishing the central thesis of enterprise AI governance: intellectual property is your currency, and AI either compounds it or dilutes it. Every economic inflection point reveals the difference between activity and infrastructure. In 1740, fire exposed the fragility of pooled risk
IP as Currency: The Missing Half of AI Governance Read More »
AI Governance blog series about how it formed, why it’s widening, what it costs, and what building the right infrastructure actually looks like. Ninety-five percent of U.S. enterprises are deploying generative AI on their intellectual property. Fewer than one in four can connect that activity to measurable business outcomes.
From Currency to Compounding: The Enterprise AI & IP Governance Series Read More »
