AI Governance Articles

Expert insights and practical guidance on ai governance from the #sharp team.

How to make your AI project one that actually pays back By The #sharp Team • June 8, 2026

Most pilots stall in the gap between a demo that impresses and a system people use. The firms pulling ahead avoid a handful of predictable traps.

AI Strategy Implementation Guide By Loreen • May 26, 2026

AI capability is massively increasing, yet implementation lags behind. Read our phased, outcome-led guide to moving from board-level ambition to embedded operational change, across discovery, data readiness, pilot design, scale, and measurement.

Capability Is Outpacing Reliability: Reading the Latest Stanford AI Index By Loreen • May 23, 2026

The latest Stanford AI Index shows AI capability accelerating far faster than reliability, governance, or human readiness — and what that means for businesses moving from experimentation to dependable, governed deployment.

The OpenClaw Paradox: Hype in China, Caution in Policy and What It Means for AI Governance By #sharp Security Expert • May 15, 2026

China is not rejecting AI agents, but its OpenClaw guidance treats them as high-risk operational systems. What the policy signal means for agentic AI governance.