M&A Diligence

Meta’s ambitious Project OT attempted to replace traditional engineering structures with AI-native pods, but internal measurements revealed a massive conversion failure: code generation surged 220% while delivered customer features rose just 36%. Meanwhile, technical incidents spike and employee sentiment drops consumed the capacity the restructuring was meant to free. Explore the internal metrics, the hidden remediation costs buyers ignore, and the 5-part diligence framework required to accurately model AI efficiency in enterprise SaaS acquisitions.