Employees ask questions that cut across HR, IT, finance, and operations — and today they ask four different portals. We build unified retrieval-augmented generation that answers from every function's knowledge with a citation to the source-of-truth document, permission-aware so each person sees only what they are entitled to, and deployable on-prem.
A large enterprise does not have one knowledge base — it has dozens, owned by different functions and locked behind different permissions. HR runs policies and benefits guides; IT runs runbooks and a ticketing knowledge base; finance runs procedures, controls, and expense policy; operations runs SOPs and playbooks. An employee's question rarely respects those boundaries, so people either bounce between portals or give up and ask a colleague.
We build a single retrieval layer over the whole estate. Each function's corpus is indexed with its own source-of-truth metadata, retrieval routes a question to the right body of knowledge, and reranking surfaces the passage that actually answers it — with the model constrained to cite the originating document. Permissions are enforced at retrieval, so one assistant serves every department without ever returning content a user is not entitled to, and the entire pipeline runs inside your environment.
A retrieval layer engineered to span functions, route accurately, and enforce permissions across a multi-domain estate.
Value concentrates wherever a grounded answer exists in some function's knowledge but is too scattered across portals to retrieve quickly:
Permissions are enforced at retrieval. The index carries each document's source-system access controls, and a query is filtered to the user's entitlements before anything reaches the model, so a single assistant can serve every function without a user ever seeing content they are not authorized for. The pipeline runs inside your environment, and every query and its sources are logged for audit.
We index each function's corpus with metadata that identifies its domain and source of truth, and retrieval routes a question to the right body of knowledge before reranking the best passages. The model answers only from what it retrieved and cites the originating policy, ticket article, or finance procedure, and we maintain per-function evaluation sets so accuracy is measured separately for HR, IT, finance, and operations rather than averaged into a single misleading number.
Bring a slice of two or three functions' knowledge and the questions your employees ask daily. In thirty minutes we will show how permission-aware, cited retrieval answers them on infrastructure you control. Response inside 24 hours.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: