Architecture In Motion (AIM) is a new platform to optimise your Enterprise’s product/project lifecycle.
It does this by providing an open and transparent way for your team to access Architecture content for products and projects, enabling digital reuse of Architecture building blocks.
The main features of AIM are:
- Central repository – You can upload Architecture models into the AIM central repository. This includes loading models for both product/projects and reusable Architecture components.
- Deep search – You can deep search through your project/product and component Architecture models. You can also see where an element is used or where you have inconsistent element naming.
- Ultimate surfing – AIM is the best way to surf through your Enterprise’s Architecture models. Navigating through views, filtering views by tags quickly, and seeing where an element is used across multiple views is an essential first step before your team can offer feedback on an Architecture design.
- Storytelling – You can overlay colour-coded stories atop Architecture views to help people discover and understand how your business and IT platform work more easily.
- Digital reuse – You can import views from multiple component models into your product/project models. This means that design then tends to be a configuration exercise rather than a design from scratch exercise, and results in a faster and higher quality design.
- Portfolio management – AIM lets you add user-defined tags to projects, components, stories, and views. You can then group and filter your Architecture content to help with portfolio-level analysis and planning.
- Heatmaps – You can create heatmaps (via Stories) to support investment planning and decision-making.
- Technical debt management – You can manage Technical Debt (via Stories), identifying areas for investment against views in your component models. This makes it easier to understand where technical debt resides and supports planning to remediate the debt.
- Validation rules – You can define rules to improve the consistency of models across your Enterprise, making it easier for people to understand and provide valuable feedback.
- Machine learning – You can train AIM’s AI “ArchiBot” on your ‘good’ Architecture models. ArchiBot can then make model recommendations to help further improve modelling consistency.
- Similar views – AIM will show you the nearest matches for a given Architecture view (from a structural perspective), which can be helpful if you seek to improve modelling consistency across your Enterprise.
- Auto-legends – AIM auto generates diagram legends, which you can copy/paste into your documents or presentations. In addition, popup help is shown to explain each ArchiMate element type to help people become familiar with the ArchiMate palette set over time.
- Multiple model versions – AIM detects when you have uploaded a different version of an Architecture model file and allows you to easily switch between the same view across those files.