Question 1

What is AI operating risk?

Accepted Answer

AI operating risk is the exposure created when AI tools inform business decisions — on workforce, operations, or capital — without documented ownership, oversight, or a traceable approval process. When those decisions are scrutinized by LPs, regulators, or in legal proceedings, organizations without accountability structures can't defend them.

Question 2

Who does AI operating risk apply to — investors or companies?

Accepted Answer

Both. PE firms and other investors face LP accountability and regulatory pressure around how AI is used across their portfolios. Portfolio companies face operational, legal, and reputational exposure from undocumented AI use within their own organizations. The risk profile differs; the need for accountability infrastructure is the same.

Question 3

What regulations are relevant to AI operating risk?

Accepted Answer

The EU AI Act creates obligations for organizations deploying high-risk AI systems, including in HR and financial decisions. SEC examination priorities increasingly include AI governance for registered investment advisers. State-level requirements — including California's SB 1047 and emerging employment AI laws — add further obligations for companies with US operations.

Question 4

What is the difference between the AI Operating Risk Advisory and the AI Risk & Oversight Kit?

Accepted Answer

The AI Operating Risk Advisory is a hands-on engagement — Tablecloth guides you through risk assessment, builds the roadmap, and develops the governance structure with you. The AI Risk & Oversight Kit is a structured set of frameworks, templates, and training your team implements independently. The right fit depends on your internal capacity.

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