Automating CIM Analysis at Scale: Architecture Patterns for AI Deal Screening in Private Equity

A mid-market PE firm screening fifty to one hundred confidential information memoranda per quarter spends 150 to 500 analyst hours on first-pass data extraction alone. This is not analysis, it is structured data entry performed by professionals paid to think. This paper presents the engineering architecture behind production-grade CIM analysis systems, from document ingestion through thesis-calibrated scoring, with the extraction accuracy benchmarks, confidence scoring mechanisms, and security requirements that separate demonstration prototypes from fiduciary-grade deployments. Dr. Leigh Coney is the founder of WorkWise Solutions (www.workwisesolutions.org), building AI systems for investment firms. Correspondence: Contact@workwisesolutions.org | www.workwisesolutions.org