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Stephen Higgins

Director of Data and AI, Arbor
Stephen Higgins is a former secondary school teacher and middle leader. He spent five years working on Arbor's product before spending time working on data and AI products for the NHS and private sector. In 2024, he returned to Arbor as the Head of AI, and is now the Director of Data and AI.
Hall 8b

1 Breakout sessions: Series three

From centralisation to automation: Putting agentic AI to work

This practical case-study session explores how agentic AI could help trusts realise more of the promised benefits of centralisation. We will examine how AI agents can manage manual administrative processes from end to end, while following trust policies and maintaining a clear audit trail. Drawing on trust case studies, Arbor's Ed Butcher will share examples involving school trips, risk assessments and Subject Access Requests. You will gain practical insight into where agentic AI could reduce workload, improve consistency and release staff capacity, alongside the strategic, operational and governance decisions involved. Ideal for trust leaders responsible for operations, technology and transformation.