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For many Sparx Systems users, Enterprise Architect is already a trusted platform for capturing architecture, design, process, system, requirement, technology, and dependency information in a structured and governed way. Kernaro AI from Sparx Systems introduces natural language AI assistance to this modelling experience, helping users interact with Enterprise Architect model knowledge more easily and effectively. Rather than relying only on manual navigation, searches, diagrams, reports, and repository structure, users can ask questions, request explanations, explore relationships, summarize model content, and receive assistance in creating or refining architecture information through simple prompts. Kernaro AI is not intended to replace architects, modellers, or established modelling practices. Its purpose is to support them by making model knowledge easier to access, interpret, apply, and extend.

Natural Language Access to Model Knowledge

• Enterprise Architect repositories often become rich sources of organizational knowledge. They may contain information about business capabilities, processes, applications, interfaces, requirements, technologies, risks, dependencies, and transformation plans.
• As repositories grow, locating the right information and understanding how different elements relate to each other can require significant time and model familiarity.
• Kernaro AI helps simplify this experience by allowing users to ask questions directly against model content. Users can explore what exists in a repository, understand relationships, identify dependencies, and request clearer explanations of specific areas of the model.
• This makes Enterprise Architect model knowledge more accessible not only to experienced modellers, but also to business users and stakeholders who may not work directly inside Enterprise Architect every day.

Supporting Architects and Modellers

• For architects and modellers, Kernaro AI helps reduce the effort involved in exploring, reviewing, explaining, and working with model content.
• It can assist with summarizing model areas, tracing relationships, understanding dependencies, and preparing information for architecture discussions. This enables modellers to spend less time searching for information and more time focusing on model quality, architectural decisions, governance, and stakeholder alignment.
• Kernaro Assist extends this support directly inside Enterprise Architect. It helps architects and modellers create, refine, and improve architecture content while keeping them fully in control of the modelling process.
• Using natural language prompts, modellers can receive support for turning ideas, notes, diagrams, documents, or existing information into structured architecture content. Kernaro Assist can also help improve descriptions, clarify model information, and support more consistent documentation across the repository.

Helping Business Users Understand Architecture

• Business users often need answers from architecture models, but they may not know where the information is located, how the repository is structured, or which diagrams and relationships are relevant to their question.
• Kernaro AI helps make architecture knowledge more approachable by allowing business users to ask questions in familiar language and receive responses based on the information captured in the Enterprise Architect model.
• For example, they may want to understand which applications support a business capability, which processes depend on a system, or what areas may be affected by a proposed change.
• By making model knowledge easier to consume, Kernaro AI helps business users participate more effectively in architecture, transformation, governance, and planning discussions.

Bridging Model Creation and Model Consumption

• A model delivers the greatest value when it is both well-structured and widely understood.
• Architects and modellers need to create and maintain accurate, governed, and reusable model content. Business users and stakeholders need to understand what that model means and how it supports decisions.
• Kernaro AI helps bridge these needs. It allows modelling teams to continue working with the structure and discipline of Enterprise Architect, while providing stakeholders with a more conversational way to access and understand the same source of knowledge.
• This supports clearer communication and stronger collaboration between architecture teams, technology teams, business stakeholders, and decision-makers.

Making Impact Analysis More Practical

• Impact analysis is one of the most valuable uses of architecture model knowledge.
• When a change is proposed, teams often need to understand what may be affected across applications, processes, interfaces, requirements, technologies, data, and business capabilities.
• Kernaro AI helps users explore these relationships more efficiently by using the connections already captured in the Enterprise Architect repository. This can support faster analysis, earlier risk identification, and more informed decision-making.
• For modellers, it helps surface relevant connected information more quickly. For business users, it helps explain the possible impact of change in a way that is easier to understand and discuss.

Getting More Value from Existing Models

• Many organizations have already invested significant time and effort in building Enterprise Architect repositories. The challenge is not always creating more information, but making the existing model knowledge easier to access, understand, and apply.
• Kernaro AI helps unlock more value from these repositories by making model knowledge more conversational, discoverable, and actionable.
• Kernaro Assist supports architects and modellers in creating and improving architecture content more efficiently inside Enterprise Architect.
• Together, Kernaro AI and Kernaro Assist support both sides of the architecture journey: building better models and making those models more useful for business and technology decision-making.

Whether you are a modeller building and maintaining Enterprise Architect repositories or a business user seeking clearer access to architecture knowledge,  Kernaro AI helps make model content more accessible, conversational, and actionable.

Learn More About Kernaro AI

To learn more, watch product walkthroughs, or follow the latest updates, visit us through the links below:

Website: https://kernaro.sparxsystems.com
LinkedIn: https://www.linkedin.com/company/sparxsystemskernaroai
YouTube: https://www.youtube.com/playlist?list=PLsiYAecFNMTx_lVSauYmLK_TYQ9czJaaV