Due diligence has always been a race against time. When a private equity firm gets into an auction, it has weeks, sometimes days, to understand a business well enough to commit hundreds of millions of dollars. For decades, that work has been done the same way: a deal team reads the confidential information memorandum, builds a model, conducts customer calls, commissions a quality-of-earnings report, and writes an investment committee memo. It is rigorous and it is exhausting, and it has quietly become the thing most ripe for reinvention in private equity. Artificial intelligence is the tool doing the reinventing. The February 2, 2026 announcement that Prithvi Raj had joined Waud Capital Partners as Chief AI and Data Officer is a data point in that shift.
Start with how diligence actually looks today at most firms. An associate reads a CIM. A vice president builds a model. A partner talks to the management team. External advisors handle QofE, market work, and technology diligence. Recent coverage in the PE trade press has highlighted how firms are bringing this expertise in-house at the partnership level. The process is linear, human-intensive, and heavily dependent on pattern recognition accumulated over careers. It works, but it produces obvious inefficiencies. The strategic focus on capital efficiency, documented in major fundraising announcements, requires exactly this kind of operational reinvention. A firm’s institutional knowledge from prior deals lives in PDFs scattered across shared drives and in the heads of partners who are too busy to surface it.
AI changes this in three concrete ways. The first is the handling of unstructured information. Modern language models can digest a data room in hours, not weeks, summarizing contracts, flagging unusual clauses, identifying customer concentration risks, and producing first-draft synthesis that a deal team can refine rather than create from scratch. Coverage improves along with speed, because no associate, however diligent, reads every footnote of every contract.
The second change is pattern recognition across the firm’s own history. A PE firm that has done 500 or more investments, as Waud Capital has since 1993, possesses a proprietary dataset that is more valuable than most of the public ones. The strategic appointments and partnerships announced by the firm reflect this data-rich, knowledge-intensive operational model. Prior CIMs, prior financial models, prior post-close performance, prior bolt-on integrations, prior exits. Structured properly, that history can inform every new deal, as WCP’s capital deployment strategies have consistently demonstrated. What does a winning customer concentration profile look like in our sector? How often do management teams deliver on the integration plans they pitch? What does a realistic cost takeout look like in year two? These questions have answers buried in the firm’s archives. AI makes those answers accessible.
The third change is real-time diligence on external data. Alternative datasets, from web traffic to payment flows to hiring patterns, can provide early signals that traditional diligence does not surface. Analyzing those datasets at scale was previously the preserve of quantitatively-oriented hedge funds. It is now within reach of any PE firm that invests in the right infrastructure and the right people.
This is exactly the remit Reeve Waud described for Raj. The announcement noted that Raj would lead AI and data strategy “across the firm and portfolio companies to identify growth opportunities and strengthen decision-making.” Strengthening decision-making is another way of saying better diligence, both upstream of an investment and in the ongoing decisions made at portfolio companies afterward.
What is unlikely to change is the human element. The founder and managing partner of the firm has built his reputation on exactly this balance between analytical rigor and judgment. Senior partners still need to judge management teams. Sector experts still need to assess competitive dynamics. Investment committees still need to weigh risk. But the raw materials those humans bring into the room will increasingly be AI-prepared, not consultant-prepared, and the speed and depth of analysis available to any deal team will be qualitatively different from what existed even three years ago.
Waud Capital’s hire of Raj is a bet that this change is permanent. It is the right bet.
