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AI Regulatory Investigation: How to Respond When a Regulator Comes Asking
Regulatory investigations into AI use are increasing. The OAIC, FCA, CFPB, and national DPAs are all active. When a regulator contacts you about your AI, the first 48 hours matter most. This is the response guide.
Key Takeaways
Regulatory investigations into AI have increased significantly in 2025-2026 — the OAIC, ICO, CNIL, FCA, CFPB, and national DPAs are all conducting both own-motion investigations and responding to complaints about AI use.
The first 48 hours of a regulatory inquiry determine the trajectory of the investigation — organisations that respond promptly, co-operatively, and with a genuine commitment to addressing concerns achieve significantly better outcomes than those that are defensive or unresponsive.
Preserve all documentation immediately upon receiving a regulatory inquiry — email, system logs, AI model documentation, governance records, incident reports. Document preservation is a legal obligation and the foundation of your response.
Engage external legal counsel with regulatory investigation experience as early as possible — AI regulatory investigations involve privilege considerations, document production decisions, and strategic engagement choices that require specialist expertise.
The regulatory investigations that end most favourably are those where the organisation demonstrates: genuine governance infrastructure (not assembled post-inquiry), proactive identification and remediation of issues, and substantive co-operation without waiving privilege on legal advice.
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Types of AI regulatory contact
Regulatory contact about AI comes in several forms with different urgency and response requirements. A voluntary information request — a letter or email asking for information about your AI practices — is the least urgent form but should be treated seriously. Regulators conduct horizon scanning and thematic reviews; a voluntary request is often an early signal of regulatory interest in your sector or a specific AI practice. A formal regulatory inquiry under statutory powers is more serious — the regulator is exercising compulsory information gathering powers and your response is legally required within a specified timeframe. A formal investigation notice signals that the regulator has identified potential compliance issues and is investigating formally. And an enforcement action — a warning notice, proposed penalty, or equivalent — is the most serious form requiring immediate legal engagement.
The first 48 hours
Preserve: immediately upon receiving any regulatory contact about AI, issue a litigation hold. All documentation related to the AI systems, data practices, governance arrangements, and incidents referenced or likely to be referenced in the inquiry must be preserved — no deletion, no alteration, no standard document retention processes that would otherwise delete relevant documents. Notify: your legal team and relevant senior leadership must be informed immediately. For regulated entities, this likely includes your compliance function, your general counsel, and (depending on materiality and your regulatory notification obligations) potentially your board or relevant committee. Engage counsel: external legal counsel with regulatory investigation experience should be engaged at the first instance, not after you have started responding. Privilege considerations, document production decisions, and initial response framing are all better managed with experienced regulatory investigation counsel from the start.
What regulators want to see
Regulators conducting AI investigations are not primarily looking for perfect AI governance — they know that perfect AI governance does not yet exist. What they are looking for is: genuine engagement with AI risk (not compliance theatre), honest acknowledgment of governance gaps (not defensive minimisation), and genuine commitment to remediation (not promises without plans). The investigations that achieve the best outcomes are those where the organisation responds with a genuine picture of its AI governance — including what is working, what needs improvement, and a credible plan to address identified gaps. Regulators have significant experience distinguishing genuine governance from governance documentation assembled post-inquiry — and the distinction significantly affects enforcement outcomes.