IN PRACTICE
Each scenario maps to a specific type of work architects already do. AI handles the mechanical steps. The judgment, the decisions, and the sign-off stay with the architect.
Design solution architectures against your MDG, with AI-assisted first drafts from a project brief. Elements are found or created with the correct stereotypes. Connectors are typed to your Quick Linker convention. Governance is validated before the model reaches review.
See the Solution Architecture scenario →Run automated governance checks across your repository and surface issues with the specific rule cited and a suggested fix. Mechanical errors are resolved before review. The conversation at the review board is about findings that require judgment.
See the Repository Governance scenario →Build and maintain reference models that stay current as your environment changes. AI queries your live repository to identify gaps against reference patterns and surfaces elements that have drifted from the standard.
See the Reference Architecture scenario →Query your application portfolio in natural language and generate portfolio analysis from live repository data. Technology risk, end-of-life exposure, and consolidation opportunities surfaced from the model, not from a spreadsheet.
See the Application Portfolio Management scenario →Map acquired technology against your architecture standards, identify integration gaps, and model target-state architectures against your MDG. Integration planning grounded in the actual repositories of both organizations.
See the M&A Integration scenario →Trace regulatory requirements to architecture elements and generate compliance evidence directly from repository data. Tagged values and ownership information pulled from the model, not rebuilt from memory for each audit.
See the Regulatory Compliance Mapping scenario →Model cloud migration scenarios, surface dependency risks, and generate migration impact assessments from your live repository. Dependency chains are queried from the model, not estimated from documentation.
See the Cloud Migration Planning scenario →Book a discovery call and we will walk through the most relevant scenario for your team against a real Sparx EA environment.