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Governing AI: A Kill Switch Is Not a Control
In August we argued that AI customer service has split into two schools, and that only one of them survives regulatory contact. That piece was

Three Out of Three: What Happens When You Let AI Touch the System of Record
In the space of four months, coding agents from Anthropic, OpenAI, and Google each destroyed or corrupted a production database belonging to the people using

Two Schools of AI Customer Service (and Why Only One Survives Regulation)
Something has happened to customer service in the last two years that most enterprises still haven’t fully absorbed: the first line of support stopped being

A Refund Is Not a CSAT Win. It Is a Compliance Event.
Containment is good. Self-service is the goal. The danger is what happens when nobody governs what the AI is allowed to do. The quarterly contact

Satya Nadella Is Right About the Ecosystem. Here’s the Part He Left Out.
His thesis: the durable advantage in AI is your own knowledge, not the model you pick. Ashu Garg sharpened it: the asset isn’t the data,

Your AI Agents Are in Production. Your Sign-Off Isn’t.
82% of executives feel protected. 88% were already breached. 21% can see what their agents are doing. Three numbers from one report. They describe the

AI evaluates. Deterministic systems execute. Humans govern.
The design discipline that will define the next decade of enterprise AI architecture. Picture a renewal flow in a regulated business. A capable model reads

Andreessen Horowitz is right about AI compliance. Here’s the runtime that makes their three approaches ship.
Last week, James da Costa and Angela Strange at a16z published Everything, Everywhere is Compliance, arguing that compliance is the biggest and most boring enterprise AI

The Evolving Landscape of Regulatory Compliance AI
Why the “Cure Period” in Regulatory Compliance AI is a Temporary Safety Net, Not a Long-Term Strategy For years, enterprise leadership has operated under a

The Colorado AI Act Reset: Why SB 189 Just Made “Digital Completion” Mandatory
From Algorithmic Governance to Human Accountability: Navigating the Colorado AI Act For two years, the legal teams at regional banks and healthcare groups have been

Beyond Model Risk Management SR 11-7: Why Legacy Compliance Won’t Stop the 2026 AI Liability
Why relying on “Model Risk Management SR 11-7” is a dangerous strategy in the era of the EU AI Law For over a decade, model

The Global Gravity of the EU AI Law: Why the 8/2/2026 Deadline for the EU AI Law is a Technical Mandate for US Banks
The countdown has officially entered its final phase. On August 2, 2026, the high-risk provisions of the EU AI law will become enforceable, signaling a
