Measuring AI ROI in Private Equity: A Framework for Decision Velocity vs. Decision Quality

Read full text
Authors: Leigh Coney
Cited by: 0
References: 1

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