Clarify the work AI will support, the review it requires and the capabilities your team needs.
Start with tasks and outcomes
Understand what people are responsible for and where better tools could improve capacity or quality. Avoid extrapolating headcount decisions from a product demonstration.
Design the human role
Define who reviews outputs, resolves exceptions and accepts decisions. Consider whether the new workflow adds review or coordination work elsewhere. Accountability should remain visible as tools change.
Build practical capability
Train people on the actual tasks, information boundaries and quality criteria of the implementation. Provide examples of useful outputs and situations requiring escalation.
Review the operating result
Evaluate team feedback, quality, capacity and ongoing cost. Adapt the workflow where the evidence warrants it. A rollout is a continuing operating change, not a one-time training event.
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.
