Which decisions should managers retain when using AI?

How to choose a workflow and assess the complete result after introducing AI, including implementation, review and rework. The discussion distinguishes faster task completion from a financial return the organisation can realise.

Which choices can follow agreed guidance, and which require human judgement because guidance cannot settle the choice and the consequences are serious. Participants examine how AI can assist the decision while the manager remains accountable.

How to allocate routine execution, consequential decisions, accountability and system maintenance. The discussion examines the human work that remains before proposing changes to staffing or reporting lines.

How AI can be applied to a function’s workflows and decision preparation, with attention to the sources, criteria and unresolved choices managers need to review.

Using AI for learning practice, faculty-built teaching material and assessment that records student judgement. Students commit to a decision, examine evidence and revise their reasoning.

For CXOs, business leaders and management audiences examining how AI changes work. Sessions address business value, the decisions leaders must retain and the responsibilities involved in using agents.

For teams with a business problem or workflow to examine. Participants work on role-specific examples, compare their judgement with AI output and decide how execution, review and accountability should be allocated.

For business schools and higher education institutions using GenAI in teaching, research and assessment. Sessions examine learning design, case writing and assignments that require students to explain and revise their reasoning.