AI Sovereignty Is Really an Enterprise Architecture Problem
Mistral's €3 billion round reveals why AI sovereignty depends on data control, model portability, and credible vendor exit plans.
Read articleThe blog
Notes from where strategy meets the platform.
Practical playbooks for leaders and builders working through AI, infrastructure, governance, and operational change.
When AI Can Use the Computer, Governance Becomes Infrastructure
Computer-use AI turns governance into infrastructure. A practical control model for agent identity, permissions, approvals, evidence, and containment.
Read article
AI Agent Failures Need an Incident Management Process
A practical AI agent incident process for ownership, severity, containment, evidence, recovery, disclosure, and learning.
Read article
AI Agents Are Becoming Privileged Identities
Give enterprise AI agents accountable identities, bounded permissions, useful audit trails, and a tested stop button. A practical guide for CIOs and CISOs.
Read article
The AI Portfolio Review Needs a Kill List
An AI portfolio review needs explicit scale, repair, or stop decisions so weak pilots release capital, capacity, and risk before inertia wins.
Read article
Security Thursday: Your AI Control Plane Is Becoming a Tier Zero Asset
Treat the AI control plane like a Tier Zero asset when it governs agent identities, permissions, tools, policy, audit, and recovery.
Read article
The EU AI Act Is Becoming an Operating Model Problem for Global Enterprises
A global operating model for EU AI Act readiness covering roles, inventory, evidence, transparency, suppliers, and regional control overlays.
Read article
Security Thursday: Seven AI Risk Questions Every Executive Team Should Ask
Seven practical questions help executive teams test AI ownership, data, authority, evidence, failure planning, economics, and exit conditions.
Read article
AI Agents Have Created an Identity Problem We Haven't Solved Yet
AI agents need distinct identities, accountable sponsors, bounded delegation, short-lived access, action provenance, and lifecycle controls.
Read article
The Enterprise AI Factory Is Becoming a Real Infrastructure Pattern
The enterprise AI factory is a repeatable production system spanning data, compute, models, policy, observability, economics, and operations.
Read article
Shadow AI Was Only the Beginning. Meet Shadow Agents.
Shadow agents can use credentials, call tools, retain context, and change systems. Discover and constrain them without driving adoption underground.
Read article
Planning the 2026 AI Budget: Stop Budgeting for AI Like Software
Plan the 2026 AI budget across exploration, shared platforms, variable production, risk controls, and workforce change using scenario-based gates.
Read article