Blog

Most AI workflows break because they rely on one giant prompt or too many disconnected agents. The Dispatcher Model fixes that. Here’s how it works.

Before choosing any AI tool, nonprofits need to answer a different question first. Here’s the framework for evaluating what’s worth doing — and what isn’t.

Your nonprofit needs an AI policy. Here’s how to build one in an afternoon — including a one-page template you can adapt and use today.

The #1 question nonprofit workers have about AI: how do I use it without putting client data at risk? Here’s the practical answer.

You ask AI to do something. It says it’s done. It’s not done. Now you’re fixing the fix. This is AI Whack-a-Mole — and here’s how to get out of it.

Quebec nonprofits are adopting AI fast — but 64% have no plan. Here’s what’s working, what’s not, and how to move forward with confidence.

Montreal’s AI consulting market is noisy. Here’s what organizations in the city actually need — and how to tell the difference between hype and help.

Most Canadian organizations hiring AI consultants make the same mistakes. Here’s what to look for — and what to ask — before you sign anything.

80% of Canadian nonprofits are already using AI. Only 10% have a policy. Here’s what the national picture actually looks like — and what it means for your organization.

Most Canadian nonprofits are already using AI without a plan. Here’s what that gap means in practice — and the minimum viable policy that takes an afternoon, not a committee.