AI-Augmented Architecture with Kernaro Assist and Sparx EA
After this course your architects can create and change model content, ask questions of the repository and check it against your standards, in plain language and without leaving Enterprise Architect. A private course, taught on your own models and standards.
What the course builds
Kernaro Assist puts an AI assistant inside Enterprise Architect. What your architects get out of it depends on the person using it: stating the intent, setting the standard and judging what comes back. That is a skill, and it is the one the course builds, on your live model.
Choose it if your architects model in EA all day
Your architects spend their day modeling inside Enterprise Architect, and you want the AI there, in the tool, with a path to centralized governance later. It suits modelers, and the course puts most of its time on modeling, governance and analysis.
Not sure which AI fits your team? Compare the AI options for Sparx EA
Module by module
State your intent in plain language, then judge the result
You learn to say what you want, what standard it must meet and what good looks like, and to read what comes back critically. Your first guided task runs end to end on your repository, once Kernaro Assist is enabled and connected.
Model from intent instead of editing by hand
Today an architect creates and edits elements one at a time. AI-augmented, you describe the change you want in plain language and judge the result, with your MDG and the model's structure kept intact, so what the AI produces is review-ready in your repository.
Ask the right question about dependencies and standards
Today checking the model for dependencies, missing relationships and naming issues is slow, so it happens rarely. AI-augmented, you frame the question and the rule, AI surfaces what it finds, and you decide what it means.
Decide what each audience needs, and keep the habit
Today stakeholders wait for a report. AI-augmented, you decide what each audience needs to know and say so, and AI produces the business-readable output. We then build the working habits that make this stick, and show when a shared, governed setup is worth adding.
Built on your context, finished with real work
Before we begin, we meet with your architecture leader to learn your tools, processes, repository structure and prioritized use cases. We then tailor the course to fit, so your architects learn AI-Augmented Architecture the way your practice actually works.
You leave with a portfolio of model changes, analyses and validations produced on your own repository during the course, and the habits to keep going.
Frequently asked questions
Is Kernaro Assist a Sparx Services product?
No. Kernaro Assist is a Sparx Systems product. Sparx Services teaches teams how to use it well, but is independent of Sparx Systems Pty Ltd.
What do I need before the course?
Your organization provides the Kernaro licenses and the LLM, set up before the course. You also need a working Sparx EA installation with Kernaro Assist enabled and a repository your architects can write to, so the hands-on work happens on real content. We confirm prerequisites during scoping; if your repository needs preparation, we'll tell you.