Is the AI you tested the same AI you are running today?
The short answer is probably not The AI you tested last spring is rarely the AI answering your members today, and in most cases nobody sent you a notice that it changed.
Read it →Insights
Notes on AI governance for associations
Research, practical guidance and the occasional argument — written for people running membership organizations, not for AI specialists.
What an AI vendor contract can and cannot do for your association
Disclaimer: This is general information, not legal advice. Laws and vendor terms change, and the dates here are current as of October 18, 2026. Have counsel review any contract before you sign it or renew it. In brief ...
Read it →GRC, explained for associations
Most associations have already decided whether to use AI (or not). GRC is how that decision gets governed, checked and shown to others. This post explains GRC in plain terms, and shows which part of it an assurance ...
Read it →Which of your AI systems need the most oversight? A classification checklist for associations
Most associations can list the AI tools they use. Fewer can say which of those tools could change a member's status, and who is accountable if one gets it wrong. This checklist sorts deployed AI systems by impact, so ...
Read it →A one-time result describes one day. Continuous assurance describes the product you use every day
An AI product is not the same product from one month to the next. The vendor pushes an update. The underlying model is swapped for a newer one. A prompt is adjusted, a new feature is switched on, or someone in your ...
Read it →Four questions to ask when a vendor says "we already test"
Ask an AI vendor how they make sure their product behaves, and a good one will tell you they test it. Many will show you a dashboard.
Read it →Testing your own AI is quality control. Assurance is something else.
Most AI vendors serving associations and nonprofits now test their products. That is the minimum a buyer should expect, and the teams doing it well deserve credit.
Read it →Where independent assurance fits in the AI governance stack
The short answer: Gartner's 2026 Hype Cycle for AI Governance Technologies maps the tools organizations are buying to turn AI policy into practice. It is a useful map. It also shows what that tooling does not do: tell a ...
Read it →How do we test whether an AI agent is doing what it should?
The short answer: test what it does, not what it says. Send it realistic requests through the channel it actually uses, with test records instead of real members, and check what happened: whether the record changed, ...
Read it →When an AI agent goes wrong, who answers for it?
The short answer: nobody can tell you yet, and that is the point. A new MIT Technology Review piece shows that when AI agents cause harm, the rules for reporting it, investigating it and assigning responsibility are ...
Read it →Where does your organization actually stand?
Seventeen questions, about five minutes, no sign-up to see your result.