Funding
Funding not disclosed
Founders
Product
Problem
Organizations that rely on extensive collections of linked .docx files face high risk of non‑compliant edits because manual tracking of changes across documents is time‑consuming and error‑prone. Regulatory and quality teams must verify that updates propagate correctly and meet predefined standards, which often leads to delayed releases and audit challenges.
Solution
DocSurf applies AI to monitor every edit made in a set of connected .docx files and automatically validates those changes against user‑defined compliance standards. The platform builds a visual map of document relationships, showing the impact of each modification before it is published. Low‑risk edits are auto‑approved, while only exceptions are flagged for human review, providing a continuous audit trail with context for each change. By automating cross‑document verification, DocSurf ensures that all dependent documents remain consistent and compliant without manual effort.
Target Audience
Primary users are compliance teams, regulatory operations, and technical documentation groups that manage large, interrelated document sets and require rigorous change control.
Features
- AI‑driven change detection that tracks edits across all linked .docx files in real time
- Automatic verification of each edit against configurable compliance standards
- Visual impact maps displaying document dependencies and change propagation
- Smart approval engine that auto‑approves low‑risk edits and escalates only exceptions
- Full audit trail with detailed context for every modification, ready for regulator review
- Simple folder‑based onboarding: drop in a directory of documents and let the agent process them