Put it to work

Build the Practice

Get AI Power Tools for EA running, configured to your environment, and connected to your live Sparx EA session via MCP. Skills loaded, governance rules populated with your MDG standards, reference repository extended — so the first outputs reflect your actual standards, not generic defaults.

The challenge

Generic setup produces outputs architects have to fix

Fit

Setup that doesn't fit your MDG

Generic AI configuration produces outputs architects correct by hand. Build aligns the tools to your metamodel from the start.

Rules

Governance missing from the sidecar

Without your standards in the rules sidecar, the AI improvises. We populate it with your conventions so it knows what "good" looks like here.

Foundation

No reference to work from

AI-assisted modeling works best from a reference architecture built on your own patterns. Build extends or builds yours as part of deployment.

How it works

  1. Environment review. Confirm AI platform, Sparx EA version, repository type, and environment against the Plan findings; catch prerequisites before deployment.
  2. Installation and MCP configuration. AI Power Tools installed on architects' workstations and connected to your running Sparx EA session via MCP — configured to your environment, not a default.
  3. Skills and rules sidecar. Load your Skills Library into your AI platform and populate the governance rules sidecar with your MDG standards, connector types, and conventions.
  4. Reference repository. Build or extend your reference architecture so architects work from a governed foundation, not a blank canvas.
  5. Verification and handover. End-to-end tests across your target scenarios, plus documentation and a quick-start guide for a working deployment your team can use immediately.

Get it running in your environment.

Then Office Hours and mentoring take your architects from a working install to confident daily use.

Talk to us →