AI is not coming to your company. It is already there. Employees are drafting emails, summarizing contracts, writing code and analyzing data with AI tools today, many on personal accounts the company never approved. If your organization does not have a responsible AI use policy, you do not have an AI strategy. You have an AI exposure.

The Risk Is Not Theoretical

The warning signs are already on the record. Lawyers have been sanctioned for filing briefs packed with fictitious case citations generated by AI. The SEC has brought “AI washing” enforcement actions against advisers that overstated their use of AI. Employees have pasted confidential source code and customer data into public chatbots. Every one of these failures was a governance failure, not a technology failure.

Regulators are paying attention. DOJ’s Evaluation of Corporate Compliance Programs now asks how companies assess and manage the risks of emerging technologies, including AI, and whether controls keep pace with adoption. The EU AI Act bans certain AI practices outright and imposes strict obligations on high-risk uses, including many employment decisions. U.S. states are layering on their own rules. Prosecutors will ask what you did, and “we didn’t have a policy” is not an answer.

What a Responsible AI Use Policy Must Do

A good AI policy is not a ban. Prohibition drives AI use underground, where you have no visibility and no controls. The goal is to enable productive use while drawing clear lines. An effective policy should:

• Control the tools. Require use of approved, enterprise-licensed AI tools and maintain a register. Personal accounts on public chatbots should be off limits for company data.
• Classify the uses. Separate permitted, restricted (high-risk) and prohibited uses. Drafting an internal memo is not the same as screening job applicants or triaging hotline reports.
• Protect the data. Tie AI use to your data classification scheme. Confidential information, personal data, privileged material and export-controlled data need hard rules.
• Keep humans accountable. AI does not make final decisions that materially affect people. A named person owns every AI-assisted work product.
• Require verification. AI outputs can be confidently wrong. Users must check facts, citations and code before relying on them.
• Be transparent. Tell customers when they are dealing with AI, label synthetic media and never overstate your AI capabilities.
• Govern third parties. Your vendors are using AI on your data. Due diligence and contracts must address it.
• Build a governance structure. A cross-functional committee should approve high-risk uses, maintain an AI inventory and report to the board.

Compliance Has to Lead

This is a compliance issue, not just an IT issue. AI touches privacy, discrimination, data security, intellectual property, trade controls and the integrity of your own compliance processes. CCOs should insist on a seat at the table, fold AI into the enterprise risk assessment and make sure AI used in investigations, due diligence and screening is tested and monitored.

The policy is only the start. It must be backed by training, monitoring, a speak-up channel for AI concerns and real consequences for violations. And it must be reviewed often. AI changes faster than any risk your program has faced.

The Bottom Line

Every company will be judged on how it governed AI during this period of rapid adoption. The companies that write clear rules now, train their people and keep humans accountable will capture the benefits of AI. The rest will be explaining themselves to regulators. A responsible AI use policy is the first, and most important, step.