Enterprise RAG and Knowledge Management
Processes, use cases and architecture
Semantic search, classification, extraction and grounded answers. The pipeline collects, cleans, chunks and indexes documents with their permissions. Retrieval supplies passages to the model; answers cite sources and can abstain when evidence is missing.
Required data and applications
Document repositories, office files, reference data, identity directory and access groups. Define authoritative documents, refresh cycles and index deletion.
Human accountability and limitations
Retrieval relevance, faithfulness, citation quality, abstention rate and information leakage. Documents may contain malicious instructions: their content is data, never authority to execute an action.
Measuring benefits
The pilot compares a baseline with the target process on representative cases. Business owners define quality thresholds and the right to revert to manual processing before launch.
Bringing the right expertise together
FAQ
How can AI be integrated into an ERP?
Define a specific task, assess data and APIs, separate reads from writes, then test a connector with restricted permissions. Consequential writes and decisions require approval, logging and rollback.