Measuring AI ROI in Private Equity: A Framework for Decision Velocity vs. Decision Quality
Abstract
As private equity firms invest heavily in AI capabilities, the absence of meaningful ROI measurement frameworks creates a dangerous paradox: firms cannot justify continued investment without metrics, yet traditional financial metrics fail to capture AI's true value proposition. This paper introduces the Decision Intelligence ROI Framework, a comprehensive model that captures both the velocity gains (faster deal screening, accelerated due diligence) and quality improvements (better pattern recognition, reduced cognitive biases) that AI enables in investment workflows. Dr. Leigh Coney is the founder of WorkWise Solutions (www.workwisesolutions.org), building AI systems for investment firms.
Fields of Study & Subjects
Artificial Intelligence Applications
Private Equity and Venture Capital
Impact of AI and Big Data on Business and Society
Publication details
- Journal / source
- Figshare
- Publication date
- 7 March 2026
- Language
- EN
- Document type
- Preprint