Author Archives: Eugene Ivanov

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About Eugene Ivanov

Eugene Ivanov is the founder of INSILICONOVATION, a consulting company that helps resource-constrained organizations diagnose root causes, surface hidden assumptions, and choose practical next steps before they spend money, time, or political capital on the wrong fix.

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

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

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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