Hi @Williami
Kernaro AI already includes modern AI capabilities such as LLM integration, agentic workflows, RAG-based retrieval, enterprise connectors, model analysis, and decision-support assistance. Future plans are focused on continuously improving these capabilities rather than introducing them as completely new technologies. This includes enhancing analytical depth, accuracy, performance, governance, enterprise integrations, and contextual understanding of Enterprise Architecture content.
Kernaro AI also supports a BYOL model, where customers can configure their own cloud-subscribed LLM services, such as Azure OpenAI, OpenAI, AWS Bedrock, Anthropic Claude, or other supported providers, directly within Kernaro AI. This allows organizations to use their preferred enterprise-approved AI provider while maintaining control over security, governance, cost, and data-processing policies.
* Natural language assistance within Sparx Enterprise Architect
* EA model analysis and architecture insight generation
* Architecture decision-support and impact analysis capabilities
* Validation agents for model quality, consistency, standards, and compliance checks
* Report generation from EA model content and connected knowledge sources
* EA scripting generation to support automation and modelling productivity
* Intelligent workflows and agent-based automation
* RAG-based knowledge retrieval from EA models, documents, and enterprise sources
* Enterprise connectors and external tool integrations
* User, role, access, and governance management
For more details, please reach
[email protected]