Secure Enterprise Knowledge Systems
AI access to company knowledge,
with permissions.
Build permission-aware AI knowledge systems, secure RAG, enterprise search, document pipelines, citations, and retrieval-quality monitoring for private company data.
Overview
What we deliver.
Enterprise knowledge systems are not simple document chatbots. They need permission-aware retrieval, clean document pipelines, source citations, access controls, quality evaluation, and monitoring. We build private knowledge systems that help teams find and use information safely — answering from trusted sources while respecting access boundaries.
Why PROSYS
Outcome-Focused
Every deliverable tied to a business outcome
Enterprise Security
Built to SOC 2 control objectives, encrypted by default
Predictable Delivery
Iterative releases with transparent reporting
Production-Grade
Tested, documented, deployed to production
Methodology
How we deliver.
Document Ingestion
Build pipelines to ingest content from drives, wikis, tickets, emails, and databases.
Secure RAG Architecture
Hybrid and vector search with permission-aware retrieval at the core.
Metadata & Access Model
Taxonomy, metadata, and access controls so users only see permitted content.
Citations & Answers
Source citation logic so every answer is traceable to trusted documents.
Retrieval Evaluation
Measure retrieval quality and build feedback collection to improve it.
Admin & Monitoring
Admin workflows plus a monitoring and analytics dashboard.
Technology Stack
Our Secure Enterprise Knowledge Systems toolkit
Hand-picked tools and frameworks we use to ship production-grade secure enterprise knowledge systems projects.
Pinecone
ChromaDB
LangChainBusiness Outcomes
What you get with every engagement.
Beyond the deliverable — measurable business impact, clean handoffs, and a partnership built to scale with you.
Case Study
Internal Knowledge Assistant with Citations
The Challenge
A team's knowledge was spread across docs, drives, tickets, and databases, and a naive chatbot risked exposing content users were not allowed to see.
The Result
Built a secure RAG knowledge assistant with permission-aware retrieval, source citations, retrieval evaluation, and a monitoring dashboard — so answers were trustworthy and access-safe.
FAQ
Common questions.
How is this different from a document chatbot?
It adds permission-aware retrieval, clean ingestion pipelines, source citations, access controls, retrieval-quality evaluation, and monitoring — so it is safe and measurable, not just conversational.
Will users see data they should not?
No. Retrieval is permission-aware, so each user only retrieves and sees the content they are authorized to access.
Can we trust the answers?
Answers include source citations so they are traceable to trusted documents, and we evaluate retrieval quality so it can be measured and improved over time.
Next Steps
Ready to start your secure enterprise knowledge systems project?
Let's discuss your requirements and build a detailed proposal.