The AI Policy Playbook: Building Enterprise AI Policies that Actually Get Followed
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Download The eBook Now: The AI Policy Playbook: Building Enterprise AI Policies that Actually Get Followed
Enterprise AI policies aren’t failing because they’re poorly written. They’re failing because they were built to be documented, not enforced.
Most organizations follow the same pattern: draft a policy, get legal sign-off, email it to employees, and call it governance. Meanwhile, AI is embedded in email, code editors, customer platforms, and autonomous agents — used dozens of times a day by people who aren’t thinking about policy at all.
This playbook is for the CIOs, CISOs, and Chief Compliance Officers responsible for closing that gap. It covers how to design AI policies that are specific enough to act on, structured to scale across the enterprise, and connected to the enforcement mechanisms that make them real.
Key Takeaways:
- Most enterprise AI policies fail for a reason that has nothing to do with the writing: Understanding the structural gap is the starting point for building governance that actually works.
- There are four characteristics that make a policy enforceable: Most organizations are missing at least one — and it’s rarely the obvious one.
- AI use cases aren’t all the same risk: The playbook breaks down what that means for how governance needs to be designed.
- Three policy components are consistently getting organizations into trouble: Knowing which ones — and why — changes how you approach the whole framework.
- There’s a way to enforce policy that doesn’t depend on anyone remembering it: It changes what compliance looks like — and what you can prove.
- The way most teams manage policy change isn’t built for AI: There’s a better model, and it doesn’t require starting from scratch.
- Four policy templates are included to get you started: Practical starting points built around the questions most teams forget to ask.
Download the eBook to learn more.