01
Data Flow Governance We develop practical ways to review how data is collected, used, shared, protected and retained.
Data inventory and classification record Data lineage and provenance map Rights and permissions assessment Data flow and transfer record Review taskforce brief 02
Model Adaptation & Evaluation We develop ways to test whether an AI system is suitable for a specific business use, taking account of the people, data and risks involved.
Use case definition Risk classification Test design and reasons for chosen metrics Test results and known limitations Review taskforce brief 03
Data Asset Valuation We review evidence about the value of datasets, AI models and AI-enabled capabilities before formal valuation, accounting, audit, transaction or reporting decisions.
Definition of the asset or capability under review Purpose and context of the value review Cost evidence summary Income assumptions register Review taskforce brief