Organizational Intelligence.
Field notes on what it actually takes to get an organization ready for AI - governance, adoption, and the operating model underneath both.
How do we manage AI risk without a dedicated compliance or security team?
You don't need a dedicated AI compliance or security team to manage AI risk well in 2026. Here's the lightweight cycle that closes most of the gap instead.
6 min read · August 11, 2026Why does AI adoption stall right after the first successful pilot?
A successful pilot and a production-ready rollout are different tests. Here's why most AI pilots stall right after proving themselves, with 2026 data on the gap.
7 min read · August 7, 2026What happens if an AI-influenced hiring decision gets legally challenged?
An AI-influenced hiring decision has already been challenged in federal court. Here's what a legal challenge actually tests, and where the law stands in 2026.
8 min read · July 24, 2026What does it look like when AI is embedded in a workflow versus bolted on?
Using AI and embedding it in a workflow are not the same milestone. Here's the structural difference, with 2026 data on how much of that gap still remains.
7 min read · July 21, 2026What does "AI readiness" mean beyond having the technology?
Most companies already have AI in production, so "are we ready for AI" is the wrong question. Here's why readiness is really a use-case-by-use-case question, with 2026 data on where it breaks down.
5 min read · July 17, 2026Do we need an AI governance framework if we're not in a regulated industry?
Regulation isn't the main reason companies need an AI governance framework in 2026. Here's what's actually driving it for unregulated industries, and what a lightweight version looks like.
4 min read · July 14, 2026Do employees need to understand how AI works, or just how to use it responsibly?
Only 24% of employees feel equipped to use AI well, despite 86% using it daily. Here's why closing that gap takes judgment, not more technical training, with 2026 data on what's actually missing.
4 min read · July 10, 2026Do we need an approved AI tools list, and how do we actually enforce it?
An approved AI tools list only works if enforcement is built into it. Here's what actually makes one stick, with 2026 data on why most companies still can't enforce their own AI policy.
4 min read · July 7, 2026How do we move AI from a few power users to team-wide adoption?
Every organization has a handful of AI power users and a much larger group who's barely touched it. Here's what actually closes that gap, with 2026 data on why access alone doesn't.
5 min read · July 3, 2026Why do most AI pilots never make it to production?
Only 25% of companies move most of their AI pilots into production. Here's what actually separates a pilot that scales from one that quietly stalls forever, with 2026 data on why.
5 min read · June 30, 2026What's the difference between an AI governance policy and an AI acceptable use policy?
An AI governance policy and an acceptable use policy solve different problems. Here's the structural difference between them, and why most companies in 2026 only have one of the two.
5 min read · June 26, 2026What AI training actually moves the needle versus checkbox compliance training?
Checkbox AI training and training that actually changes behavior aren't the same thing. Here's the structural difference between them, and what 2026 data says about the gap.
7 min read · June 23, 2026What is shadow AI and how big a risk is it for a mid-market company?
Shadow AI isn't a hypothetical risk. Here's what actually counts as shadow AI, how exposed a mid-market company really is in 2026, and what reduces the risk without banning tools people rely on.
7 min read · June 19, 2026What's the difference between using AI tools and having AI integrated into how work gets done?
Using AI and having AI integrated into how work gets done are not the same thing. Here's the structural difference, and why the gap between them explains a lot of disappointing AI results in 2026.
6 min read · June 16, 2026How do I know if my organization is actually ready for AI, not just excited about it?
Excitement about AI and organizational readiness for it are different things. Here's the structural gap, ownership, workflow redesign, and skill, that decides whether an AI initiative survives past its pilot in 2026.
7 min read · June 12, 2026Who should own AI governance in a mid-market company that can’t afford a dedicated function?
Most mid-market companies don’t need a dedicated AI governance hire. Ownership usually belongs with an existing accountable executive, supported by a lightweight process, not a new department.
6 min read · June 9, 2026The multi-respondent gap your leadership team doesn’t know exists.
Ask five leaders the same question about your AI governance and you’ll get five different answers. That variance is data - most assessments throw it away.
4 min read · June 5, 2026Why AI readiness is an organizational problem, not a technical one.
Most stalled AI initiatives don’t fail because the model was wrong. They fail because no one decided who owns the outcome.
5 min read · June 2, 2026