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Turn competing AI ideas into a focused investment agenda. Examine where AI can create business value, what your organisation needs to deliver it, and which opportunities deserve funding.

Strengthen consequential decisions by combining analytical evidence, scenarios and AI-assisted challenge. Learn to identify unsupported assumptions and explain uncertainty before recommending a course of action.

Build practical AI workflows for demanding professional work. Use guided exercises to improve research, briefing, meeting preparation and written analysis while checking accuracy and protecting confidential information.

Build the leadership practices needed when AI changes roles and expectations. Practise conversations about uncertainty, redesign team responsibilities and agree realistic development priorities.

Redesign work around appropriate automation and human judgement. Prototype a bounded workflow, test its failure points and develop a practical case for operational adoption.

Design supervised agent workflows with explicit permissions, measurable outcomes and reliable escalation paths.

Build a practical AI investment portfolio across asset performance, operations and commercial decisions. Learn how to sponsor pilots, evaluate evidence and govern use in safety-critical settings.

Assess whether shared-ledger technology solves a genuine coordination problem and compare it with simpler alternatives.

Strengthen executive judgement before and during a technology disruption. Examine service dependencies, supplier exposure and crisis decisions through a facilitated incident exercise.

Select and govern AI use cases across care delivery, operations and research. Keep patient safety, clinical oversight, equity and evidence central to procurement and rollout.