Organizations that delay adopting AI are not avoiding risk; they are displacing it. As employees look for ways to work faster and smarter, many turn to unapproved AI tools and platforms, creating a growing “Shadow AI” ecosystem outside the visibility of IT and governance teams. This unsanctioned usage can expose sensitive data, introduce compliance gaps, and produce inconsistent or unreliable outputs that influence business decisions or, worse, result in legal, reputational, or financial harm. Without a clear strategy, organizations lose the ability to control how AI is used, what data is used to inform AI output, and what risks are accumulating beneath the surface.

The answer is not to restrict AI; it is to guide it. A well-designed information governance policy enables business units to leverage AI tools in ways that align with their operational needs while establishing guardrails around data protection, compliance, and accountability. By proactively defining acceptable use, approved tools, and oversight mechanisms, organizations can unlock AI’s value without sacrificing control. With the right approach, organizations can transform Shadow AI from a liability into a structured, strategic advantage, ensuring innovation and governance move forward together.

If you would like to create a policy that governs the use of AI at your organization, our team is ready to assist. At CODISCOVR, we deliver client-focused, defensible solutions that are tailored to each organization’s specific needs. Reach out to Nicholas Berenato, Information Governance Principal and Associate Attorney, CODISCOVR. Nick is an attorney who collaborates with clients to address legal and financial exposure from their information assets through information governance. He develops strategies and policies to help clients effectively manage their data, minimize costs, and leverage it to support their business processes.