Enterprise knowledge retrieval without security leaks or hallucinations

A production-grade Enterprise Knowledge AI system unifies, indexes, and surfaces structured and unstructured data in real time—enforcing granular document permissions and verifiable citations at query time.

Operational reality

An internal LLM is only as trustworthy as its retrieval layer. Access rights and source grounding must be enforced before synthesis begins.

Operational Impact in Numbers

Reduction in internal search and retrieval latency
~65%
Target response latency for verified employee queries
<3s
Acceleration in technical and operational onboarding
~40%
Security & compliance deployment standard
VPC / Air-Gap

Benchmarks based on enterprise Retrieval-Augmented Generation (RAG) deployments across distributed file stores, ERPs, and compliance-critical data environments.

Core architectural capabilities

Unified data ingestion without forced repository migration

Architecture: Enterprise Connectors & Multi-Tenant Ingestion

What the system enforces

  • Direct ingestion connectors for SharePoint, Confluence, ERPs, CRMs, and custom REST API endpoints.
  • Eliminates manual file duplication and costly migration projects across business units.
  • Continuous delta-syncing to index document updates, revocations, and lifecycle changes in near real time.

Relevant for you if

institutional know-how is scattered across disconnected tools, cloud folders, and legacy enterprise databases.

Hybrid search combining semantic intent with lexical accuracy

Architecture: Dual-Engine Vector Embeddings + BM25

What the system enforces

  • Integrates dense vector retrieval (semantic context) with sparse BM25 indexing (exact SKU, legal, or code matching).
  • Delivers >95% retrieval precision for complex, domain-specific terminology and multi-clause queries.
  • Prevents generic semantic drift and guarantees exact keyword hits for regulated technical terms.

Relevant for you if

standard vector-only search fails on exact product numbers, legal article citations, or internal acronyms.

Role-based access control (RBAC) enforced at retrieval time

Architecture: Zero-Trust Security & Access Governance

What the system enforces

  • Strict inheritance of upstream document permissions (Active Directory, Okta, OAuth, SSO).
  • Pre-retrieval filtering: the language model cannot summarize or see records the requesting user is unauthorized to access.
  • Zero data leakage across organizational tiers, board materials, HR records, or regional business units.

Relevant for you if

confidential management, payroll, or legal files sit on the same network as general employee documentation.

Fact-grounded generation with immutable source citations

Architecture: Hallucination Prevention & Auditability

What the system enforces

  • Every generated claim is bound directly to specific paragraphs, page numbers, and source URIs.
  • Hard cutoff protocols: queries trigger clear refusal fallbacks when internal documents lack verified answers.
  • Provides an end-to-end audit trail essential for Swiss FADP (nDSG), EU GDPR, SOC 2, and ISO 27001 reviews.

Relevant for you if

employees need verifiable answers they can trust for legal, engineering, or compliance sign-offs.

Looking for technical governance frameworks or AI implementation audits? Read more on the Media page.

Evaluating an enterprise intelligence architecture?

Bring your security requirements and current toolchain to an introductory call. I will tell you openly whether it calls for an engagement, a second opinion, or neither.

Book an introductory call

Every engagement is led personally by Kevin Lancashire.

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