AI Power Tools for EA
Your architects already use Sparx EA. The AI-augmented practice your organization needs doesn't require migrating away from it. AI Power Tools for EA connects AI to your live repository and delivers AI-assisted modeling, analysis, governance, and stakeholder engagement against your own models, your own standards, and your own MDG. Works with Claude Cowork, Claude Code, and GitHub Copilot in VS Code today. M365 Copilot support is coming.
The architect drives. The AI executes.
AI Power Tools runs alongside Sparx EA on the architect's computer. Sparx EA stays open. The architect stays in charge. The AI joins the session as a capable collaborator that takes direction, works the repository, and handles the mechanical steps that consume the most time.
The architect provides the intent: what to model, what standards to check against, who to brief and at what level. The AI handles execution — navigating the repository, creating and linking elements, running conformance checks, assembling diagrams, drafting deliverables. Nothing gets replaced: your repository stays where it is, your MDG-defined standards stay in place, and your architects keep working in the Sparx EA they already trust.
Live repository access, your choice of AI
Runs alongside Sparx EA
Connects to the running instance via COM automation and gives the AI full access to your live repository — elements, packages, diagrams, connectors, tagged values, metadata. No exports, no copy-paste. Changes appear in your model as they happen.
Judgment stays in the loop
"Model this system from the attached spreadsheet." "Check this package against our standards." "Produce a steering-committee briefing." The AI does the steps; the architectural judgment stays with you.
Three interfaces today
Claude Cowork (designed for this, no coding environment), Claude Code (terminal-first power users), and GitHub Copilot in VS Code. M365 Copilot is coming.
Four use-case domains, one connected toolchain
Architecture modeling
Turn spreadsheets, documents, and inventories into properly stereotyped, fully connected diagrams. Reverse-engineer cloud, code, or CMDB data. Build and validate MDG technology files without hand-editing XML.
Architecture analysis
Relationship discovery, downstream impact tracing, dependency health (orphans, fan-in/out, cycles), portfolio redundancy detection, and plain-language repository queries — no SQL required.
Architecture governance
Validate against your rules as architects work, run formal conformance audits with executive-ready findings, and generate machine-executable rules from a written standard. Rules live in MDG XML + a YAML sidecar.
Stakeholder engagement
Stakeholders ask the model questions in plain language and get answers grounded in real data — no EA access required. Generate Power BI dashboards and business-readable documentation from the repository.
Your EA practice can run on AI-augmented workflows now.
Talk to us about a 30-day evaluation engagement scoped to your repository. At the end, you have concrete evidence of the productivity and quality changes — or you don't continue.
Talk to us →