March 10, 2026
Traditional due diligence spans 6-8 weeks, involving multiple layers of commercial, operational, and legal assessments. AI is radically accelerating this process.
Today’s top-tier PE firms are deploying AI-powered platforms to streamline everything from document review and litigation risk analysis to peer benchmarking. Tools leveraging natural language processing (NLP) and machine learning can now analyze thousands of documents in hours, not weeks - flagging risks and surfacing insights that human analysts might miss.
According to BCG’s 2024 study, firms using AI during diligence reported a 22% increase in risk detection accuracy while reducing diligence timelines by up to 60%.
Portfolio monitoring has evolved beyond static monthly reporting. Today, AI delivers real-time, predictive insights at scale, reshaping how value is protected and grown.
We’ve seen PE clients use AI to:
The results in 35% faster response times to underperformance signals and EBITDA uplifts of 4-7%, driven by AI-suggested interventions.
ESG due diligence is no longer a checkbox, it’s a dynamic, data-driven discipline.
Modern ESG platforms now aggregate structured and unstructured inputs: emissions logs, DEI trends, supply chain audits, regulatory filings, and even local media coverage. This always-on lens is being used not just to flag ESG risks but to quantify Environmental ROI in parallel with financial returns.
Why it matters: 78% of Partners, per Preqin’s 2025 ESG Report, now rank ESG data quality among their top three investment criteria. Funds with advanced ESG intelligence engines aregaining a competitive edge - both in fundraising and post-deal value creation.
We’re witnessing an inflection point in capital allocation.
AI models are increasingly generating investment theses by analyzing macro economic signals, pricing data, regulatory changes, and competitor activity. These aren’t “black box” outputs - they’re decision-support copilots helping simulate acquisition scenarios across multiple market, legal, and operational vectors.
Firms that leverage these models are seeing 15–19% increases in deal conversion rates with no compromise on IRR thresholds. AI isn’t replacing judgment, it’s sharpening it.
This is no longer theoretical. The world’s largest PE funds now have Chief AI Officers, dedicated AI operating units, and enterprise-wide implementation roadmaps.
From origination to exit, AI is being embedded into every layer of the private equity stack. The most future-ready funds aren’t asking “Should we use AI?”, they’re asking “How fast can we embed it across our value chain?”
At Valorant, we operate at the intersection of capital, code, and execution. As AI continues to rewrite the rules of private equity, we remain committed to helping funds harness this transformation with clarity, speed, and precision.