Three kinds of professionals typically shape AI adoption: engineers who know what's technically possible, practitioners who hold the workflow knowledge, and governance professionals who think about systems and risk. The vulnerability in undertaking AI adoption takes root when there is limited overlap and domain fluency shared between these stakeholders.
AI is also, very likely, already at your door, whether you've authorized it or not. Vendors are pitching new AI tools your team is unsure how to evaluate. Existing vendors are layering AI into products you already pay for. Staff may be using consumer AI tools with limited guidance.
The question is whether your organization is leading that process.
These pillars can be done in sequence, or portions can build on each other.