Most organisations approach AI transformation with a technology question: what can we automate? The more important question is how to organise work when automation changes what people need to do, and where the organisation needs people more, not less.

When the Finnish municipality of Konnevesi automated grant processing, handling time fell by about 85% in the pilot, and the time went to difficult cases and faster decisions for residents.

Other companies cut customer service staff, watched satisfaction collapse and hired people back. The difference was not the technology. It was leadership.

This session covers four areas leaders must redesign: the work itself, end to end rather than task by task; roles and teams, as AI changes the economics of expertise; leadership and accountability, as managers start leading teams of people and digital colleagues; and the transformation itself, which cannot be run as disconnected pilots.

It also addresses the question most organisations avoid: what should we do with the capacity AI creates? The answer should not automatically be doing more with less.

Key learnings:
- Decide which work stays human, which is AI-assisted and which is delegated
- Define accountability when people and digital colleagues contribute to the same outcome
- Plan how AI-created capacity is reinvested before benefits are counted