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Bring structured and unstructured inputs into one workflow model across ERP, SQL, files, APIs, and documents.
N2ONE CORE AI extends enterprise integration into controlled AI execution. Structure fragmented knowledge, prepare private RAG, orchestrate workflow-aware AI steps, and enable governed agent action inside the enterprise boundary — including SAP interaction for use cases such as price verification and alerting.
N2ONE CORE AI combines enterprise ingestion, deterministic orchestration, retrieval preparation, prompt-driven reasoning, and controlled execution into one practical foundation.
The result is a production-capable path to document intelligence, private RAG, workflow AI, and controlled agent enablement without surrendering governance.
N2ONE CORE AI creates the controlled layer between enterprise knowledge, workflow context, and AI-driven outcomes.
Bring structured and unstructured inputs into one workflow model across ERP, SQL, files, APIs, and documents.
Transform content into chunks, metadata, prompts, and controlled context that AI can use meaningfully.
Support private RAG and semantic search on governed enterprise knowledge instead of relying on model memory alone.
Route outputs back into business process with traceable workflow logic, approvals, and controlled action boundaries.
N2ONE CORE AI places AI inside a deterministic execution model. Prompts can be scoped to individual steps, updated dynamically by prior step output, and routed through conditional logic rather than uncontrolled autonomy.
A practical starting point is large-scale document ingestion. Read PDFs, extract content, create chunks, attach metadata, and prepare retrieval-ready knowledge for downstream AI use.
Ground outputs on governed enterprise content with chunking, embeddings, metadata, and retrieval controls.
Understand what context, workflow path, and logic produced the result instead of relying on black-box behavior.
Keep AI connected to real process, real systems, and real operational controls instead of isolating it in chat alone.
Prepare approved CORE capabilities for future API- or MCP-based agent interaction without abandoning governance.
Start with one controlled pattern. Expand into a broader AI foundation over time.
Read, chunk, enrich, and structure large document sets for governed retrieval and downstream AI use.
Build a retrieval foundation using PostgreSQL + pgvector, metadata-rich chunks, and explainable grounding.
Insert AI steps into production-capable enterprise workflows with prompt control, routing logic, and operational boundaries.
Prepare controlled AI agents that can interact with SAP for use cases such as price verification, alerting, and governed operational assistance.
We help define the right starting point — document intelligence, private RAG, workflow AI, or SAP-interactive agent use cases — and the governed path to production.