RESULT
Your AI governance foundation may need attention.
Based on your responses, your organization may be using AI without enough structure around ownership, documentation, and day-to-day accountability.
That does not mean your team is being careless. It usually means AI use has entered the work before the organization has clearly named who owns it, how decisions are made, and what people should rely on when questions come up.
What this may mean
AI use may be happening without a clear owner.
Staff may not know what is allowed, restricted, or off limits.
Decisions may be handled informally instead of being documented in a way the organization can rely on later.
A policy may exist, but it may not be connected to the way work actually happens.
A quick win you can take this week
Ask one leadership question:
Who currently owns AI use across the organization?
If the answer changes depending on the department, tool, or situation, that is useful information. It means the first governance issue may not be the policy. It may be ownership.
What this result does not show yet
This result gives you a starting point, but it does not show which gap matters most, whether the issue is ownership, documentation, workflow, oversight, or decision rights, or what level of governance is appropriate for your organization.
Different gaps require different fixes.
Recommended next step
Schedule your Assessment Review.
This result gives you a starting point, but it does not show which gap matters most, whether the issue is ownership, documentation, workflow, oversight, or decision rights, or what level of governance is appropriate for your organization.
Different gaps require different fixes.