Plan adoption around real tasks, feedback, training and clear responsibilities.
Understand the current work
Ask the people doing the work what is difficult and what good output looks like. Identify where an AI implementation could help, where review matters and what responsibilities should remain human.
Make the change concrete
Explain what will change in a specific workflow. Provide examples, practice and a clear route for reporting problems. Avoid treating access to a new tool as equivalent to adoption.
Listen to the evidence
Review actual use, output quality, exceptions and the effort required to operate the system. Low use can reveal a poor fit, missing training or a workflow problem. Investigate before assuming resistance.
Define continuing support
Assign owners for guidance, updates, source information and evaluation. Agree how feedback changes the implementation. Success is useful work under real conditions, not the number of accounts created.
Prepare a useful conversation
Bring the business goal, current setup, information requirements and any known budget or operating constraints. We can help assess the options and scope the appropriate work. A high-level description is enough to start; leave out confidential records and credentials.
