Private Equity and Alternative Investments

Strategic Data & AI Partnership

A New York-Based Private Equity Firm

All In On Data served as a senior strategic advisor to a New York-based private equity firm, embedding across three distinct areas of the business to help the firm and its portfolio harness data and AI as durable sources of competitive advantage The partnership focused on deal evaluation, portfolio company development, and the creation of a formal responsible AI practice.

Due Diligence and Investment Target Assessment

As part of the advisory mandate, All In On Data supported the firm's investment process by bringing rigorous analytical depth to the evaluation of prospective acquisition targets. With a particular focus on data management and AI, this work examined both the current state of a target company's capabilities and its realistic potential for improvement. This approach helped the firm assess not just where a business stands today, but what it could become with the right investment and strategic direction, giving deal teams a more complete and nuanced picture of value at the point of investment.

Portfolio-Wide Data and AI Enablement

All In On Data worked directly with investment desks and portfolio companies across the firm's holdings. The team conducted structured assessments of data and AI maturity, developed tailored strategies and implementation roadmaps, and supported the hands-on execution of data and AI initiatives. This flexible engagement model allowed All In On Data to meet each portfolio company where it was—whether they were early in their data journey or scaling advanced capabilities—delivering meaningful, measurable progress across a diverse range of organizations.

Building a Responsible AI Practice

Finally, All In On Data partnered with the firm to design and launch a dedicated responsible AI practice. This structured capability was built around the most current thinking in AI risk management, safety, and ethics. Together, the teams developed a suite of frameworks and processes for identifying, evaluating, and managing AI-related risks in practical organizational contexts. The resulting practice was designed for broad deployment, with offerings that could be delivered to the private equity firm's own teams, rolled out to portfolio companies navigating their own AI adoption, or extended to external third-party organizations seeking rigorous, principled guidance on responsible AI.