Enterprise AI knowledge and secure search

- Organizations generate large volumes of documents, policies, procedures, reports, presentations, and operational knowledge. Employees often struggle to quickly find accurate information, while organizations must ensure sensitive information is only accessible to authorized users. - As a result, employees spend significant time searching for information, knowledge is scattered across multiple systems, important information is underutilized, onboarding and decision-making are slower, sensitive information requires strict access control, and traditional keyword search often fails to deliver relevant answers. - There is an opportunity to transform enterprise knowledge into an intelligent, secure, and AI-powered assistant that helps employees find information and answers instantly.

- Reduce information search time from hours to seconds. - Demonstrate permission-aware retrieval and source citations. - Support department-specific knowledge spaces and multi-document reasoning.

Employees looking for organisational knowledge.

Enterprise Knowledge Dataset: sample enterprise documents across departments. User & Role Dataset: sample users, roles, departments, and permissions. Document Metadata Dataset: ownership, classification, and access rules. Public Evaluation Dataset: sample search and permission scenarios. --- *Track: Mobility | Sponsor: Tasco | Slug: mobility:enterprise-knowledge | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*

Document Storage: PDFs, DOCX, PPTX, images. Document Processing: OCR, parsing, chunking. Embedding Layer: text embeddings. Knowledge Store: vector database. Security Layer: ACL / RBAC filtering. AI Layer: LLM + RAG. User Interface: search and AI assistant.