N2ONE AiA · Private AI Appliance powered by N2ONE CORE AI
Deploy N2ONE AiA in your tenant or on-prem and run N2ONE CORE AI as the governed workflow layer beneath document intelligence, private RAG, and controlled agent execution. Connect enterprise data, structure knowledge, and support AI processes with traceability.
Security & Compliance · Visit our Trust Center →Use CORE AI workflows to ingest SQL, files, PDFs, SAP, and other governed sources into one controlled processing flow.
Read PDFs at scale, chunk content, add metadata, generate embeddings, and prepare retrieval-ready knowledge with lineage.
Use prompt-driven AI steps, controlled tools, permissions, and audit trails to support explainable operational execution.
Define the right combination of model, source systems, chunking, vector storage, guardrails, and agent scope.
N2ONE AiA · powered by N2ONE CORE AI
Stand up private AI in your tenant or on-prem, then use N2ONE CORE AI to connect data, structure knowledge, ground retrieval, and support agent-ready workflows. N2ONE Strategy defines the path. CORE AI executes it.
Define use cases, sequencing, guardrails, and rollout priorities before AI scales confusion.
Run governed workflow steps with prompt control, conditional routing, and traceable execution.
Read PDFs, chunk content, attach metadata, and prepare enterprise memory for retrieval.
Ground outputs on approved sources and support controlled actions instead of uncontrolled autonomy.
Why teams choose N2ONE AiA + CORE AI
Go beyond isolated chat. Use one private AI foundation to connect enterprise systems, structure knowledge, support retrieval, and control agent behavior inside production-capable workflows.
Start with one AI pattern. Expand into a governed foundation.
Start with PDF-heavy knowledge and build metadata-rich retrieval foundations for downstream AI use.
Connect source systems, structure knowledge, and support explainable AI answers with approved context and controls.
Use N2ONE CORE AI to introduce workflow AI and prepare approved capabilities for future API or MCP-based agent interaction.
Private deployment is only the start. The real value is governed retrieval, controlled actions, and traceable workflow logic.
Define what sources AI can read, how documents are chunked, and what lineage must be preserved for traceable retrieval.
Apply SSO/SAML, RBAC, redaction, tenant boundaries, and explicit tool permissions across retrieval and execution.
Measure grounded answers, workflow reliability, and agent behavior with approval gates and continuous improvement loops.
Distribution · SAP ecosystems · Manufacturing · Technology · private AI foundations

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