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Most organizations treat buy-versus-build as a technology decision. It isn’t. It’s a readiness decision. Most organizations treat buy-versus-build as a technology decision. It isn’t. It’s a readiness decision. Making that decision before understanding your own organizational state is how you end up with a platform no one uses, a custom build that solves the wrong… Continue reading Most organizations treat buy-versus-build as a technology decision…
Most organizations start their AI journey by asking the wrong question. Most organizations start their AI journey by asking the wrong question. “How do we implement AI?” sounds like the right place to begin. It isn’t. After months of conversations with leaders across nonprofits, healthcare, PMOs, and enterprise — one pattern kept surfacing. AI initiatives… Continue reading Most organizations start their AI journey by asking the wrong question…
Most organizations are trying to solve AI with tools. The smarter ones are solving it with structure first. Most organizations are trying to solve AI with tools. The smarter ones are solving it with structure first. That difference is already separating the leaders from everyone else. Right now, executives are asking: What platform should we… Continue reading Most organizations are trying to solve AI with tools…
Most organizations think the hard part is finding funding. It’s not. Most organizations think the hard part is finding funding. It’s not. The hard part is building the operational capacity to consistently identify, evaluate, pursue, and manage the right opportunities — before they disappear. That’s not a writing problem. It’s an infrastructure problem. To show… Continue reading Most organizations think the hard part is finding funding. It’s not…
Nonprofits Are Already Using AI — Most Just Aren’t Governing It Artificial intelligence (AI) is already transforming the nonprofit sector, from chatbots that handle donor inquiries to predictive analytics that forecast fundraising trends. But many organizations are missing a critical step: actively governing their use of AI to ensure it aligns with their mission and… Continue reading Nonprofits Are Already Using AI — Most Just Aren’t Governing It
Who Is Governing AI in Your Nonprofit? As a nonprofit leader, you’re already juggling a million priorities. But with the rapid rise of artificial intelligence (AI), there’s a new challenge emerging that requires your attention: ensuring your organization is prepared to responsibly navigate the AI landscape. Failing to get ahead of this issue could put… Continue reading Who Is Governing AI in Your Nonprofit?
What If You Were Named AI Accountability Officer Tomorrow? What If You Were Named AI Accountability Officer Tomorrow? Not in theory. Not in a policy document. Starting tomorrow. Your first meeting is on Monday. What do you actually do? Most organizations reach for paperwork first — policies, committees, risk statements. But accountability isn’t a document.… Continue reading What If You Were Named AI Accountability Officer Tomorrow?
Who Is Accountable When AI Makes a Decision? Who Is Accountable When AI Makes a Decision? Not who built the model. Not who trained it. Not who sold the software. Who owns the decision? AI is now influencing hiring, loan approvals, benefits eligibility, medical triage, fraud detection, and performance evaluations. And in many organizations, no… Continue reading Who Is Accountable When AI Makes a Decision?
Last week I reviewed three AI initiatives. Last week I reviewed three AI initiatives. All three had funding. All three had capable teams. All three had executive visibility. Only one will likely succeed. The difference wasn’t the model. It wasn’t the data platform. It wasn’t the vendor. It was whether they had done Phase Zero.… Continue reading Last week I reviewed three AI initiatives. All three had funding…
Wrong Algorithm? Or Wrong Problem? Wrong Algorithm? Or Wrong Problem? Last month, a startup showed me their customer churn model. 93% accuracy. Clean dashboard. Executives loved the demo. It sat unused for four months. Why? They built a classifier when what they actually needed was a priority queue. The model could say “this customer will… Continue reading Wrong Algorithm? Or Wrong Problem? Last month, a startup showed me their customer churn model.
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