AI Hardware Needs a Chain of Custody, Not Just a Purchase Order
When AI Cuts the Hours, Your Contract Needs a Better Unit of Value
An AI Coworker With an Email Address Needs a Real Identity Lifecycle
Google’s Gemini coworker agents show why AI identities need named owners, scoped mailboxes, access reviews, audit trails, monitoring, and offboarding.
When an AI Guardrail Needs an Exception, Treat It Like Privileged Access
Anthropic’s cyber-access program shows how businesses should govern AI safeguard exceptions with tiers, approvals, logging, monitoring, and revocation.
Before AI Reorganizes the Workforce, Map the Work
Industrial AI Is Only as Reliable as Its Engineering Change Control
AI Can Make the Ad. Your Evidence File Makes It Publishable.
SKF’s AI-generated Greta Garbo campaign shows why businesses need a release-ready evidence file for synthetic media, product claims, approvals, provenance, and rollback.
A Permission Is Not a Purpose: AI Agents Need Data-Use Controls
Apple’s planned Mac access changes show why broad technical permission is not enough for an AI agent: businesses also need explicit purpose, data, approval, and revocation controls.
AI Agent Incidents Can Cross Company Lines: Build the Outbound Control Boundary
OpenAI’s latest third-party impact disclosure shows why businesses need explicit controls for what AI agents can do outside their own systems.
The AI Pilot Worked. Scaling It Is a Systems Project.
A new BearingPoint study shows a wide gap between proving AI value and scaling it. Closing that gap requires process ownership, system integration, governed data, financial stage gates, workforce planning, and production controls.
