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 them. Not the same tea
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 human, and nobody
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 center review tells a clean story.
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, it’s the decision trace. In reg
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 same companies, in the same y
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 the account, understands
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 opportuni
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 “wait
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 bracing for the
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 risk management SR 11-7 has been the “
