composing agents to agentic end-to-end processes for real P&L impact – e.g., customer lifecycle service from request classification to solution identification to service provisioning.
composing agent components to enterprise-grade automation quality with speed and scale – e.g., triage agent for request classification and routing.
composing agentic mesh services to enforce control and interoperability – e.g., scalable customer service ticket and mail ingestion automation.
composing common AI services to provide an agent run-time with quality ops and multi-agent orchestration – based on an open meta-framework.
composing open-source frameworks, commercial AI platforms and cloud services to provide secure and scalable AI infrastructure integrated in your environment – based on a composable tech stack.
Triage Solutions (e.g., service request classification and routing), Matching Solutions (e.g., issue resolution of a service request), De-/Codification Solutions (e.g., regulatory customer check and customer file generation), etc
Explorative data analysis patterns and tools, agentic ontology, knowledge space curation, ingestion pipeline, AI observability, agentic QualOps, etc.
Enterprise agent mesh based on the EggAI open-source meta-framework (see Github) and the EggAI composable stack infrastructure – understand it as glue code integrating leading open source and commercial AI technology.
Agentic IDE and CI/CD pipeline to integrate application builder agents, dev agents, and CLI tools with a spec-driven coding automation process – empowered by QualOps agents that are trained on your architecture specifications and legacy.
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