Most of an enterprise’s real context lives in unstructured content: policies, guidelines, process documentation, contracts, intranet pages, meeting notes. It’s where “how we actually work” is written down, but it sits in file shares and content management sites, disconnected from the systems that execute work. DataBridge is NEWWORK’s unstructured context layer. It connects document‑heavy repositories to the Enterprise AI stack and turns them into governed, permissioned knowledge that AI, Task Experts, and FLOW can safely use. Documents are indexed with provenance, access rules, and policy‑relevant signals so every AI decision can be traced back to the exact source and version.
Platform
Data Bridge
A Foundation for Connecting Unstructured Enterprise Knowledge to AI
Make knowledge operational
Built on NEWWORK’s FLOW architecture, DataBridge ensures that unstructured knowledge doesn’t just become “searchable”, it becomes operational. Policies, procedures, and evidence requirements flow directly into approvals, checks, and automated steps, so AI can execute with the same rules and accountability as people.
The Opportunity
Unlocking Unstructured Knowledge for Enterprise AI
Enterprises can turn documents into governed, reusable AI context. When unstructured content is connected, it becomes a trusted engine for decisions and automation.
01
Knowledge becomes instantly discoverable
Policies, SOPs, and process descriptions from file servers, SharePoint, and intranets are connected into one searchable knowledge layer. Teams no longer hunt through folders—AI and employees can retrieve exactly the passages they need, in the right context, within seconds.
02
Provenance is built in
Every document and policy carries its source, owner, version, and timestamps. AI‑assisted answers can always point back to the original clause, so decisions are explainable, auditable, and easy to update when policies change.
03
Permissions travel with the data
Access rules from core systems apply directly to unstructured content. People and AI only see the documents they’re allowed to see, aligned with roles, locations, and approvals enabling broad AI adoption without sacrificing security or compliance.
When unstructured data is connected this way, it stops being static documentation and becomes live, governed context that AI and FLOW can use to run real work.