Data and AI

AI only works when the data core is trusted.

Automation can be valuable, but only when the organisation knows where its data comes from, who can change it, what it means and when it should not be used.

Readiness framework

Before deploying AI, clean the data foundations.

Most organisations do not need a grand AI strategy first. They need a plain inventory of data sources, access rights, quality issues and customer-impacting workflows.

Data inventory

List systems, owners, update frequency, sensitivity, export options and integration points.

Automation candidates

Prioritise repetitive workflows with low ambiguity, clear rules and measurable outcomes.

Human review

Keep people in the loop for pricing, legal, employment, safety, credit and high-impact customer decisions.

Data qualityAI governanceWorkflow automationReporting clarityAccess controlRetention rules