The ELM AI Data Modelling Framework - B&W edition

In each organization business knowledge is hidden in stories. These are the stories about customers, products, services, events, and the way an organization operates. Transforming those stories into consistent business models is traditionally relying on workshops, interviews, and the experience of skilled data modelers.

Artificial Intelligence can be a huge game changer, but not every AI-generated model is communicating what the =business is really about. They might not be accurate, explainable, or reusable.

The ELM AI Data Modelling Framework introduces a practical, structured methodology that combines proven conceptual data modelling principles with the power of AI. Instead of relying on a single prompt or monolithic AI assistant, the framework divides the modelling process into a series of specialized services, each responsible for a well-defined modelling task. Together they create a repeatable, explainable, and vendor-independent approach to business data modelling.

Whether you are a business analyst, data architect, enterprise architect, solution designer, consultant, or AI practitioner, this book provides a practical roadmap for creating high-quality conceptual business models using both traditional modelling techniques and modern AI.

The ELM AI Data Modelling Framework is technology-independent and can be applied with cloud-based AI platforms, locally hosted Large Language Models, future AI technologies, or even without AI assistance at all!

This book contains two parts. The first part introduces the methodology, architecture, and core services that form the foundation of the ELM AI Data Modelling Framework. The second part is introducing the practical side of the services and dive into the technical aspects of each of them. All the used prompts, skills and knowledge used within the framework wil be described and shared.

Inside this book you will learn how to:

·         Discover Core Business Concepts directly from business narratives.

·         Build meaningful Event Canvases and Natural Business Relationships.

·         Validate, compare, and consolidate business models.

·         Facilitate collaborative modelling workshops with AI assistance.

·         Publish canonical business models to multiple target platforms and formats.

·         Create implementation-independent business models that remain reusable over time.

·         Combine human expertise with AI in a controlled, transparent, and governed way.

·         Create your own version of the AI assistant.