From scattered documents to AI you can trust.
How to turn the knowledge your organization already holds into governed, AI-ready data, and keep control of it. Eighteen pages, free to download.
What's inside
From the problem to the method, then to control.
The whitepaper follows the chain from scattered documents to confident action, and ends with what an organization must keep under its own control.
The problem and AI-ready knowledge
Why folders were never enough, and the four things that must be true before AI reads a document.
The six-step method
Connect, extract and understand, define your taxonomy, link the knowledge graph, curate and publish, monitor and refresh.
sDEN Foundation and Solutions
A governed knowledge graph over the systems you have, and engagements that turn your hardest documents into verified data.
Sovereignty and governance
Five decisions you keep, four dimensions, one governed gateway and seven domains to control.
The method at a glance
Six steps from scattered sources to governed knowledge.
Connect to file shares, document repositories and business systems such as PLM, QMS and ERP, honoring existing permissions and controls. sDEN reads, chunks and normalizes the content.
Read text, tables and drawings, and describe every file with consistent metadata: document type, topics, dates, parts and suppliers, sensitivity and quality signals.
Start from your own business taxonomy, or let sDEN propose one from your data for your experts to validate.
Resolve entities across systems and link them with their sources, lineage and access rules.
Slice the knowledge by relevance, topic, time, quality and sensitivity into governed sets for search, RAG and agents.
Watch source systems for changes, process new content and keep every set current, so your AI runs on up-to-date, trusted information.
The practical test
Seven questions. A sovereign organization answers yes to most.
- 01Do we know what data our AI tools receive, and where it is stored?
- 02Are confidential data excluded from vendor training unless authorized?
- 03Can we export our data, prompts, workflows and model assets?
- 04Are security, subprocessors, data access and applicable law clear in contract?
- 05Can we switch model or hosting provider without rebuilding from zero?
- 06Do we have oversight, logging, access rights and an AI governance policy?
- 07Can sensitive workloads run in-jurisdiction, in private cloud or on premise?
Ready to build AI you can govern, audit and own?
Discuss your data estate, institutional priorities and infrastructure requirements.