DBT Bureau
Pune, 18 Sep 2026
Coforge released a new white paper, AI in Private Equity: Driving ValueThrough AI Execution, which explains how private equity firms can translate AI ambitions into measurable portfolio value creation. It highlights a significant gap between expected outcomes and the actual results realized by AI initiatives within the private equity ecosystem.
The report notes that while AI has become embedded in investment theses and value creation plans, many private equity firms continue to struggle with execution. As a result, the gap between AI expectations and measurable business outcomes has emerged as a growing challenge for investors seeking to realize projected returns.
“AI is no longer a source of optional upside, but a core assumption that underpins revenue growth and margin expansion expectations in many PE investment models,” said Preeti Singh, Executive Vice President and Head of North America, Coforge. “The winning firms are the ones that develop a repeatable rollout model capable of scaling AI across their portfolio and turning projected value into real-world return on investment.”
The white paper outlines a structured playbook for operationalizing AI across the investment lifecycle, including AI-based due diligence, repeatable execution programs across portfolio companies, and portfolio-level governance capabilities that improve visibility, accountability, autonomy, and value generation.
The publication follows the launch earlier this year of Coforge’s Private Equity Business Unit, which enables private equity firms to move from experimentation to measurable impact by driving operational transformation, EBITDA improvement, and AI-enabled value creation across their portfolios.
