Employees are already using AI tools to write, analyze, summarize, and make decisions, often without clear guidance. While AI creates opportunities for productivity and innovation, it also introduces real risks around privacy, security and compliance.
This practical guide helps organizations create an AI policy that is clear, workable, and aligned with real-world use of generative AI. It provides a structured foundation that organizations can adapt to their own context, maturity level, and risk profile.
Rather than focusing only on theory or regulation, this guide translates AI governance into concrete decisions: what AI is allowed, how employees should use it, and how risks are managed.
Inside this guide you will learn how to:
- Structure a clear and practical AI policy that employees can easily understand.
- Define the scope, definitions, and responsibilities within your AI policy.
- Build an AI policy that can be maintained and updated as AI evolves.
This version shifts the emphasis from “AI topics” to “how to build and implement a usable AI policy,” which makes it much more relevant to decision-makers and policy owners.