Tag Archives: AI

A Way Through (What structured problem-solving offers the nonprofit sector)

Posted on May 23, 2026 by Eugene Ivanov

Three articles in, the picture is not a comfortable one. A sector under compounding pressure — rising demand, shrinking capacity, exhausted leadership. Three structural problems that make the crisis so difficult to escape: the double bind that tightens with every … Continue reading →

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The AI Paradox (Why the most powerful tool in the room isn’t enough)

Posted on May 19, 2026 by Eugene Ivanov

There is a moment in many conversations about the nonprofit crisis when someone says, “But what about AI?” The question is reasonable. Technology is real, the capabilities are growing fast, and the appeal to resource-stretched organizations is obvious. If AI … Continue reading →

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In Defence of AI

Posted on April 30, 2026 by Eugene Ivanov

There is a well-known framework for understanding how people respond to loss. Elisabeth Kübler-Ross identified five stages of grief: denial, anger, bargaining, depression, and acceptance. It was meant to describe how individuals cope with death and dying. It turns out … Continue reading →

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From Process to Practice: Who Runs It and How

Posted on April 27, 2026 by Eugene Ivanov

This is the fifth and final post in the series “Problem First: AI-Assisted Problem Solving for Organizations That Can’t Afford to Get It Wrong.” After I published the second post in this series, the one laying out a five-stage problem-solving … Continue reading →

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AI as Problem-Solving Partner: Doing It Right

Posted on April 22, 2026 by Eugene Ivanov

This is the fourth post in the series “Problem First: AI-Assisted Problem Solving for Organizations That Can’t Afford to Get It Wrong.” I ended the previous post with a claim that deserves scrutiny: that the real value of AI for … Continue reading →

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The Organizations That Need Problem Solving Most Are the Ones Doing It Least

Posted on April 13, 2026 by Eugene Ivanov

This is the third post in the series “Problem First: AI-Assisted Problem Solving for Organizations That Can’t Afford to Get It Wrong.” The first two posts in this series made a general case. Organizations are bad at defining problems. They … Continue reading →

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Don’t Blame the Black Box: Why We Avoid AI Explanations

Posted on January 6, 2026 by Eugene Ivanov

There’s a Russian proverb that cuts straight to the heart of human nature: Having an ugly face, don’t blame the mirror (На зеркало неча пенять, коли рожа крива). We like to blame LLM models for their lack of transparency. Calls … Continue reading →

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The AI Paradox: Why SMEs Might Be Losing Ground Just When They Thought They’d Caught Up

Posted on December 3, 2025 by Eugene Ivanov

Three months ago, I declared AI the great equalizer for small and medium enterprises. Today, I’m not so sure. In fact, I’m worried we might be celebrating prematurely — and that the very technology promising to level the playing field … Continue reading →

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Putting the Cart Before the Horse: What We’re Getting Wrong About AI

Posted on November 10, 2025 by Eugene Ivanov

The debate about artificial intelligence has become exhaustingly predictable. On one side, we have doomsayers who celebrate every misstep—a misdrawn map of Europe, a miscounted number of r’s in “blueberry”—as proof that AI is fundamentally flawed. The word “hallucination” has … Continue reading →

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Unlocking SME Innovation: Why AI-Based Problem-Solving is the Great Equalizer

Posted on September 7, 2025 by Eugene Ivanov

In mid-October 2009, I was visiting with a client, a large, Midwest-based paint and coating manufacturing company. As part of their product development process, the company’s engineers built a powerful outdoor pump to paint industrial buildings. The pump worked beautifully … Continue reading →

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