Key Research Findings

Coforge released a white paper titled "AI in Private Equity: Driving Value Through AI Execution" which identifies a significant gap between expected outcomes and actual results realized by AI initiatives within the private equity ecosystem. The research found that while AI has become embedded in investment theses and value creation plans, many private equity firms continue to struggle with execution, creating a growing challenge for investors seeking to realize projected returns.

Executive Commentary

Preeti Singh, Executive Vice President and Head of North America at Coforge, stated: "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. 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."

Proposed Solution Framework

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
  • Portfolio-level governance capabilities that improve visibility, accountability, autonomy, and value generation

Business Context

This 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.

Document Availability

The full white paper is available at: https://blog.coforge.com/white-papers/ai-private-equity-execution-deal-value

Company Background

Coforge describes itself as an AI-native engineering services leader where AI is the foundation of how they design, build, and deliver intelligent solutions for clients. They use AI and hyperspecialized industry expertise to engineer autonomous enterprises, combining AI agents with their AI-enabled workforce including specialized FDEs in hybrid pod-based delivery units.