Data modelling

Data modelling is the process of structuring information into entities, attributes and relationships that reflect how your business works. It transforms unorganised data into a clear logic layer that systems can understand, reason with and act upon.

We use data modelling to build the backbone of your AI organisation. Your goals, workflows, entities and relationships are turned into a machine-readable model that allows agentic apps to reason accurately. This modelling work becomes the foundation for explainability, interoperability and intelligent decision making across your business.

Good data modelling reduces chaos and increases clarity. It makes your data more usable, prevents duplication and ensures your AI behaves using the same structure your team relies on.

You’ll see data modelling at work in:

• How customers, orders and products are defined and connected
• How workflows understand dependencies and constraints
• How apps evaluate relationships like “customer → subscription → revenue impact”

Data modelling gives your AI a clear mental map of your business so it can think, act and adapt intelligently.