TRANSFORMATION GUIDE

AI Readiness & Data Governance

AI readiness is primarily an evidence and control question. A process is not ready simply because a model can technically perform part of it.

Assess the data

Assess the data

Identify authoritative sources, ownership, quality problems, duplication, access controls, retention and lineage. Separate known facts from assumptions about data quality.

Identify authoritative sources, ownership, quality problems, duplication, access controls, retention and lineage. Separate known facts from assumptions about data quality.

Assess the process

Assess the process

Map judgement points, exception handling, approvals, segregation of duties and failure consequences. High-risk decisions may require human review even when automation is technically possible.

Map judgement points, exception handling, approvals, segregation of duties and failure consequences. High-risk decisions may require human review even when automation is technically possible.

AutomationScan note: This guide is a discovery framework, not procurement, legal, security or implementation advice.