Frameworks.
Practical models developed from Data Tiles' work helping organizations create trusted data products, improve governance, close AI readiness gaps, and become decision-driven enterprises.
Frameworks answer how you should think about a problem. Playbooks answer how to implement it.
Trusted Data Product Framework
A practical model for creating trusted, governed, reusable, discoverable, measurable, and AI-ready data products that the business will actually use.
Design and review every data product against the same definition of trust.
Decision Intelligence Framework
A model connecting business outcomes, decisions, trusted data products, governance, and AI — so that every layer of the operating model serves the decisions that matter.
Align strategy, data and AI investment around a shared decision architecture.
AI Readiness Framework
A practical approach to evaluating organizational readiness for AI adoption — beyond technology — across decisions, data products, governance, and people.
Move from AI ambition to a credible, governed plan that the business will trust.
Governance at the Point of Decision Framework
A framework for applying governance where business decisions are made and consumed — by people and AI agents — rather than where the data happens to be stored.
Replace passive policy documents with active governance embedded in the flow of work.