Case studies

Evidence-backed operating lessons for data and AI leadership.

Each case study uses approved proof library items and separates context, intervention, measurable result, and board-level lesson.

2026-05-01 / case study

BCBS239 data confidence programme

A regulatory data confidence case study on turning weak evidence, inconsistent definitions, and fragmented ownership into board-readable control.

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2026-04-15 / case study

AI governance working group operating model

A case study on creating practical AI governance rhythms for use-case intake, executive oversight, and regulated adoption.

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