Every AI decision, with the evidence behind it. AI Governance Advisors (AIGA) helps mid-market private equity firms, established venture capital firms and their portfolio companies govern AI where it matters to investors.
We help you control AI use in sourcing, deal diligence and data rooms, answer IC, LP and board questions with evidence, and see AI risk and value across the portfolio before an exit puts it under a buyer's microscope. Our work is executive-ready, portfolio-grade and aligned to leading standards such as the NIST AI RMF and ISO/IEC 42001. It is built for PE/VC speed and rigor.
Legal diligence opinions, technical testing and investment judgment stay with you and your advisers. We work with operating partners, portfolio operations leaders, managing partners, COOs, CIOs and CTOs, general counsel and CCOs, and CISOs, at the fund and in portfolio companies.
Approved-tool rules, confidential-data guardrails and IC control evidence.
AI risk and value across portfolio companies, segmented and board-ready.
Aligned to NIST AI RMF and ISO/IEC 42001 for defensible governance.
"Our deal team wants AI for sourcing, diligence or the data room. What's allowed, and with which tools?"
"An NDA or a data room says no AI, or a seller is asking how we'll handle their data. Can we show control?"
"We're choosing an AI vendor for our investment workflow and need a defensible review."
"Our IC, LPs or board asked how we govern AI, and we don't have a clean answer yet."
"A portfolio company is launching an AI program, or an exit is coming and buyers will ask about AI."
AI usually reaches a fund through individual deal teams and vendors, faster than rules and records follow. When a seller, an LP or a buyer asks which tools touched confidential information, who approved them and what controls applied, the answer often depends on who you ask. We close that gap without slowing the deal down.
Inventory > Classify > Decide > Evidence
Senior principals lead the work. We are platform-neutral, so we work with the deal tools, data rooms and AI products you already use or are evaluating. You keep every decision and every artifact.
AI Deal Workflow Risk Scan
Workflow inventory, data boundaries, vendor and human-review controls, a decision memo and a roadmap
AI Diligence & IC Control Pack
Approved-tool rules, confidential-data guardrails, IC control evidence and a governance workflow for the fund
Portfolio AI Value & Risk Maturity Scan
Portfolio-wide visibility of AI use, segmentation by risk and value, priorities and board-ready reporting
Fractional AI Governance Office
Fund and portfolio AI intake, vendor review, decisions, issue tracking and leadership reporting
Every engagement has a fixed scope agreed in writing, with named deliverables, assumptions and exclusions. We share fees after a short scoping call. For portfolio companies facing AI questions from insurers, see the AI Insurability page. For defense-sector portfolio companies that handle CUI, see the DIB AI governance page.
As of October 2026
On March 18, 2024, the SEC announced settled charges against two investment advisers for false and misleading statements about their use of AI. On June 12, 2025, the SEC withdrew its 2023 proposed rule on conflicts of interest in advisers' and broker-dealers' use of predictive data analytics. How SEC rules apply to your firm is a question for your counsel.
The Act entered into force August 1, 2024. Prohibitions and AI-literacy duties applied from February 2, 2025; general-purpose AI model rules from August 2, 2025; transparency rules from August 2, 2026. The Digital Omnibus on AI (Regulation (EU) 2026/1744) moved high-risk rules for Annex III systems to December 2, 2027, and for Annex I products to August 2, 2028. It also narrowed the AI-literacy duty to taking measures to support staff AI literacy.
The Institutional Limited Partners Association (ILPA) publishes a Responsible AI Quick Guide for Asset Owners. Its suggested questions for GPs include whether the fund uses AI in investment decisions and what controls the GP has around AI use at the fund level.
The NIST AI Risk Management Framework (AI RMF 1.0, January 2023) is voluntary. ISO/IEC 42001:2023 sets requirements for an AI management system. AIGA aligns its work to both. Certification to ISO/IEC 42001 is done by accredited certification bodies, not by AIGA.
Last reviewed: October 8, 2026. Sources: SEC press release 2024-36; SEC withdrawal notice, June 12, 2025; EU AI Act Service Desk timeline; ILPA Responsible AI Quick Guide; NIST AI RMF 1.0.
AIGA is a senior-led, platform-neutral U.S. advisory helping mid-market PE and VC firms govern AI. At the fund level, AIGA sets controls for AI in sourcing, diligence and data rooms, reviews vendors, and builds IC and LP evidence. Its Portfolio AI Value & Risk Maturity Scan segments AI by risk and value for board-ready reporting. The Fractional AI Governance Office provides ongoing support, aligned to NIST AI RMF and ISO/IEC 42001.
Only where the NDA and data-room terms allow it, and only into tools whose contracts and settings protect the data. Many confidentiality agreements now restrict or prohibit uploading confidential information into AI systems. Confirm what the NDA and platform terms say (a question for your counsel), and confirm the tool's terms on training, retention and access. AIGA helps you turn those answers into standing rules by data class.
Buyers increasingly test whether AI claims hold up. They ask which AI systems are in production, what data each uses and on what rights, which third-party models and vendors the company depends on, and what governance, human oversight and incident records exist. Gaps found late tend to slow diligence or move into deal terms. AIGA builds the inventory, governance record and evidence index early.
LP questions have moved from whether a GP uses AI to how it governs it. ILPA's Responsible AI Quick Guide suggests questions on AI-related policies, use in investment decisions, diligence process, and fund-level controls. Expect follow-ups on which tools touch LP, deal and portfolio data, on what terms, and who owns AI governance.
Tell us what's driving the timing: a live deal, an AI vendor decision, an IC or LP question, a portfolio AI program or an exit, and the date that matters. We will come back with a fixed-scope proposal, usually starting with the AI Deal Workflow Risk Scan or the Portfolio AI Value & Risk Maturity Scan, with named deliverables, assumptions and exclusions.
AIGA's two co-founding principals scope and deliver every engagement themselves. See the Team Bios.
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