Which work is a useful starting point?

Look for repeatable information handling, routine preparation, coordination and administrative tasks that consume your team’s time. Assess the quality of the available data and the level of judgement or relationship ownership the work requires.

What still needs people?

People remain responsible for leadership, relationships, judgement and sensitive decisions. Even a well-scoped AI workflow needs ownership and appropriate review. The objective is to make the operation more effective, with the right mix of people and managed systems.

How do we test the economics?

Start with a clear baseline for the work, then include onboarding, ongoing management, review effort and expected usage in the comparison. The Opportunity Map helps identify promising starting points. It is not a promise of a fixed saving or a headcount reduction.

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Why are onboarding slots limited? ↗What is a managed AI workforce? ↗