AI is reshaping every industry — but most portfolio companies are adopting it without the guardrails to manage risk or the governance to unlock its full value. For private market investors, that gap is becoming material. Companies with mature AI governance are better positioned to mitigate failures, strengthen customer trust, and protect valuations at exit. Those without are increasingly exposed.
Re:Co's new guide, The Case for AI Governance: From Risk to Value, has been written for growth equity, private equity and infrastructure investors looking to move AI governance from a compliance burden to a value creation lever. It draws on emerging regulation, investor frameworks, and real portfolio company experience.
The guide opens with seven concrete value creation opportunities tied to strong AI governance — spanning customer trust, cost discipline, regulatory readiness, talent and more. Each is backed by reliable data and sources.
To make the content actionable, the guide includes a set of critical diligence questions investors can use during due diligence and through the hold period. A few examples: Does the board or a board committee have explicit accountability for AI risk and oversight? Is AI risk integrated into the enterprise risk management framework? Is the company clear on who could be harmed if AI were to make systematic errors or be used by bad actors?
It also features a maturity matrix benchmarking governance across 11 areas - including board oversight, accountability, data governance, reliability, transparency and more - with clear markers for low, medium and high maturity to help track portfolio company progress over time. Two case studies bring the framework to life from both sides: one a cautionary tale of governance failure, the other a demonstration of how responsible AI can drive trust, growth and competitive advantage.
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