Post by Lahav Advisory
3 followers
๐๐ ๐ถ๐ ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ฒ๐ฏ๐. 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 ๐๐ฎ๐ต๐ฎ๐ ๐๐ฑ๐๐ถ๐๐ผ๐ฟ๐, weโre seeing a new phenomenon in due diligence: ๐๐ฑ๐ช๐ด๐ต๐ฆ๐ฎ๐ช๐ค ๐๐ฆ๐ฃ๐ต. 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; youโre buying a data lineage and a logic chain. If you canโt audit it, you shouldnโt pay a premium for it. ๐ช๐ฒ ๐ผ๐ฝ๐ฒ๐ป ๐๐ต๐ฒ ๐๐น๐ฎ๐ฐ๐ธ ๐๐ผ๐ ๐๐ผ ๐๐ผ๐ ๐ฑ๐ผ๐ป'๐ ๐ถ๐ป๐ต๐ฒ๐ฟ๐ถ๐ ๐๐ต๐ฒ ๐ฑ๐ฒ๐ฏ๐. #AI #GenerativeAI #TechDueDiligence #MandA #LahavAdvisory