Implementation & Organizational Change carries an approved AI decision into operating practice. The work is organizational, not technical: who does what now, which steps require human review, how the change is communicated, what people are trained to do differently, and how leadership verifies that practice has actually moved.
This is where most AI initiatives quietly fail — not because the technology underperformed, but because the organization never changed around it. The engagement exists to make the change real, documented and sustainable after the advisor leaves.