Author Archives: Eugene Ivanov

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About Eugene Ivanov

I help mission-driven organizations, including nonprofits, solve persistent strategic, operational, and organizational challenges through AI-supported problem solving. As founder of INSILICONOVATION, I build and apply AI tools that think with you, not for you—helping uncover root causes, surface assumptions, and turn ambiguity into clear paths forward.

A Sector Under Pressure (On nonprofits, rising need, and a widening gap)

In April 2026, the Providers’ Council, a Massachusetts human services membership association, and the UMass Donahue Institute published a white paper. It is titled Stretched to Capacity: The Workforce Crisis in Human Services. The title is not a metaphor. It … Continue reading

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In Defence of AI

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

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

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

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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The Problem-Solving Manifesto

(What the Problem-Solving Process Actually Looks Like) This is the second post in the series “Problem First: AI-Assisted Problem Solving for Organizations That Can’t Afford to Get It Wrong.” In the first post in this series, I argued that organizations … Continue reading

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Why We’re So Bad at Solving Problems (And Why It Matters More Than Ever)

This is the first post in the series “Problem First: AI-Assisted Problem Solving for Organizations That Can’t Afford to Get It Wrong.” Clients always come to me knowing what they want. Very often, however, they don’t do enough due diligence … Continue reading

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Don’t Bring Me Chickens or Eggs — Build Me a Farm

Innovation managers love to hate the line “Don’t bring me problems, bring me solutions.” They’ll lecture you about root cause analysis. They’ll quote Einstein: “If I had only one hour to save the world, I would spend fifty-five minutes defining … Continue reading

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What If Failing Fast Is Just Failing Wrong?

As Lewis Carroll once said, “If you don’t know where you are going, any road will get you there.” I think of this wisdom every time I hear the gospelers of the “fail-fast-fail-often” creed. I suspect that their easy acceptance … Continue reading

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

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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