AI adoption
AI adoption and change enablement help people understand changed work, decision rights, review responsibilities, support routes, and the limits of an AI workflow.
State what AI does, what remains with the user, what must be checked, what the workflow cannot do, and where a person can challenge or stop the result.
The User Adoption and Training route provides an internal path when role preparation needs delivery support.
Identify users, approvers, service owners, support teams, data owners, and reviewers. Give each role context, practice, authority, and escalation.
State where users report problems, ask questions, challenge an output, and request a correction.
Explain what happens when the result is uncertain, wrong, unavailable, or outside approved use.
Review support questions, workarounds, corrections, exceptions, training gaps, and service-owner decisions.
Training alone is not adoption; users also need a workable process, clear authority, support, feedback, and a safe response to errors.
Bring the workflow, role, or support question that needs a clearer change plan.
Discuss AI adoption