Post by Lahav Advisory

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๐—”๐—œ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ป๐—ฒ๐˜„ ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐——๐—ฒ๐—ฏ๐˜. In the rush to ship "AI-powered" features over the last 12 months, many startups have traded long-term stability for short-term demos. At ๐—Ÿ๐—ฎ๐—ต๐—ฎ๐˜ƒ ๐—”๐—ฑ๐˜ƒ๐—ถ๐˜€๐—ผ๐—ฟ๐˜†, weโ€™re seeing a new phenomenon in due diligence: ๐˜Œ๐˜ฑ๐˜ช๐˜ด๐˜ต๐˜ฆ๐˜ฎ๐˜ช๐˜ค ๐˜‹๐˜ฆ๐˜ฃ๐˜ต. This happens when a team deploys AI-generated code or "Black Box" models that they don't fully understand. The Symptom:ย  A platform that works perfectly during the pilot but breaks the moment you try to scale. The Forensic Truth:ย  When we "interrogate the artifacts," we often find "Shadow Debt" - unmaintained AI integrations and "plausible" but biased model outputs that are silent killers of valuation. If you are acquiring an AI asset in 2026, you aren't just buying code; youโ€™re buying a data lineage and a logic chain. If you canโ€™t audit it, you shouldnโ€™t pay a premium for it. ๐—ช๐—ฒ ๐—ผ๐—ฝ๐—ฒ๐—ป ๐˜๐—ต๐—ฒ ๐—•๐—น๐—ฎ๐—ฐ๐—ธ ๐—•๐—ผ๐˜… ๐˜€๐—ผ ๐˜†๐—ผ๐˜‚ ๐—ฑ๐—ผ๐—ป'๐˜ ๐—ถ๐—ป๐—ต๐—ฒ๐—ฟ๐—ถ๐˜ ๐˜๐—ต๐—ฒ ๐—ฑ๐—ฒ๐—ฏ๐˜. #AI #GenerativeAI #TechDueDiligence #MandA #LahavAdvisory