Enterprise UX Strategy Audit: A Persistent Knowledge Fabric for Enterprise AI

A proposal I developed for a persistent, scoped, and trust-centric document platform designed to unlock broad enterprise AI adoption for document-heavy use cases.

By Joseph Arnold1 min read

Enterprise AI adoption frequently stalls due to trust and governance concerns as much as technical capability; the proposal targets these factors explicitly. The solution is a persistent, scoped, trust-centric document platform that will unlock broad enterprise AI adoption.

Executive Summary

The core barrier to enterprise AI adoption is a lack of confidence that outputs are based on the enterprise’s own documents, are updated in real time, and are transparently sourced. This initiative proposes a persistent, scoped knowledge layer to materially accelerate enterprise AI adoption, especially in legal, compliance, finance, and technical verticals—establishing a first-mover advantage in a rapidly maturing space.

  • Eliminates Friction: Ends the need for repeated uploads and manual verification, streamlining high-stakes workflows.
  • Builds Trust: Delivers always-grounded, citation-backed responses with clear visual and audio trust signals.
  • Enables Control: Provides flexible, user-defined scoping and a clear toggle between speed and accuracy to fit any business need.