What "AI-Native, With a Human in the Loop" Actually Means for Accuracy
"AI-native" gets used loosely enough that it's worth explaining exactly what it means for Distress Monitor, and just as importantly, what it doesn't mean.
What the AI actually does
Insolvency filings across Europe are published in many different languages, formats, and structures, court gazettes, official registries, administrator notices. Our AI reads these filings as they're published and structures them into one consistent format, regardless of the original language or layout. That's the part AI is genuinely good at: fast, scalable reading and structuring of large volumes of inconsistent source material.
What "human in the loop" actually means
It doesn't mean a person manually re-reads every single filing, that would defeat the purpose of using AI in the first place. It means our team continuously audits the results, checking accuracy, catching and correcting errors, and refining how the system handles edge cases, on an ongoing basis, not as a one-time setup step.
Why this combination matters more than either half alone
AI without ongoing human auditing is a black box, you're trusting an algorithm's output with no check on whether it's actually right. Human review without AI doesn't scale to 21 countries' worth of filings in real time. The combination is what makes it possible to cover this much ground while still being able to say, honestly, that the results are checked, not just generated.
What this means for you
When Distress Monitor surfaces an insolvency filing, it's because our AI read and structured a real, published filing, and our team's ongoing auditing process is what keeps that output reliable, across 21 countries, continuously, not as a one-time check.
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