Move from reactive to proactive management
Some organizations adopt a reactive approach to AI governance. New tools are introduced first, and policies are developed later as issues arise. This can create inconsistent experiences and make it difficult to manage AI adoption at scale.
A proactive approach establishes governance before AI experiences are broadly deployed. IT teams can determine which capabilities should be available, how those capabilities should be managed, and how they align with organizational requirements.
You can define how AI experiences appear across the organization before they reach employees. By establishing boundaries and controls up front, organizations can support innovation while maintaining oversight.
| Approach | Characteristics |
|---|---|
| Reactive governance | AI tools are adopted first, and policies are developed later as issues arise. |
| Proactive governance | Governance, policies, and controls are established before AI experiences are broadly deployed. |