Access is only the beginning
Many organizations already have AI access somewhere in the business. The gap is that access rarely defines which work should change, which information can be trusted, who remains accountable, or how performance will be measured.
Implementation starts when the organization redesigns the workflow around a measurable operating problem.
What has to be designed
A governed AI workflow needs more than a tool. It needs source ownership, human review, employee preparation, exception handling, and an evaluation standard.
- Current-state workflow and pain points
- Approved information sources
- Human and AI responsibilities
- Security and governance boundaries
- Baseline and post-launch measures