Sort with evidence
Place every activity in AI Replaces, AI Augments or Human Leads, and mark each AI placement tried here or not yet; untried placements become small tests. AI’s ability is uneven across tasks that look alike.
Innovation NavigatorStrategic Game
Map the team’s actual work into what AI replaces, what it augments and what stays human-led, with the evidence, the check and the principle behind each line.
Teams adopting AI tools or redesigning roles around them, leadership offsites on AI and the workforce, post-rollout resets, and any team where AI use has spread without anyone deciding what stays human.
From AI will replace it all, or none of it to a map we draw, test and redraw.
AI’s ability is uneven: in a field experiment, consultants using AI did better on tasks within its reach and worse on a task just outside it. AI assistance tends to raise productivity on writing and support work, most for less-experienced people. People who rely on automated output tend to miss its errors, and skills that aren’t practised tend to decay, so what stays human, and how AI’s work is checked, are decisions to make on purpose.
Place every activity in AI Replaces, AI Augments or Human Leads, and mark each AI placement tried here or not yet; untried placements become small tests. AI’s ability is uneven across tasks that look alike.
For every activity AI touches, say who looks at its output and how. People who rely on automated output tend to miss its errors.
Write one sentence on why each Human Leads activity stays human, keep practising the skills that would fade, delegate one and reclaim one, and redraw the map each quarter. Skills that aren’t practised tend to decay.
The thinking behind this lab, published in full: