Resources
Guides, templates and reference material for businesses that want their data to work properly — with AI tools, dashboards, consultants and whatever comes next.
What's coming
Planned resource sections
Naming and definition standards
Practical guides to naming data assets clearly — what to follow, what to avoid, and why clear naming matters when people and AI need to understand the same data.
Data ownership and documentation
How to document your data so your business owns it — not the consultant who built the report or the vendor who hosts the tool.
AI readiness explained
Plain-English explanations of what AI tools need to understand your data, what breaks them, and how to prepare a data asset that gives reliable answers.
Delivery templates and case studies
Requirements documents, data dictionary templates, and before-and-after examples showing how prepared data changes what AI tools and business users can do.
In the meantime — scan your model
The AI Readiness Scanner is live now and free to use. It will tell you exactly what to fix and why.