Every security and compliance team has a folder of written policy somewhere - a retention schedule, a data classification standard, a DLP policy that took legal three months to approve. It says exactly what should happen to sensitive data. None of it is connected to anything that actually happens.
Turning that document into an enforced rule has been a manual job: an analyst reads the policy, decides what it means for the data Teleskope already sees, and hand-configures the corresponding tags and rules in Policy Maker. That's slow, it's inconsistent between analysts, and it's exactly the kind of onboarding friction that stalls a new enterprise account before it ever reaches value.
Teleskope now reads the document itself, and tells you what to configure because of it.
Upload the Policy. Get Back Recommendations, Not Busywork.
Policy Document Ingestion lets a team upload their actual written policies - PDFs, standards, regulatory text - into a collection in Teleskope. Teleskope extracts the individual statements inside each document and recommends the custom data elements and tags that operationalize them.
Every recommendation carries its receipt. Each suggested tag is linked back to the exact statement that produced it - the document, the page, the quoted text, even the location on the page it was found. Nothing is a black-box suggestion; a reviewer can see precisely which clause generated which tag before deciding whether to accept it.
Nothing Ships Without a Human Saying Yes
Suggestions land in a review queue, not directly in production. A reviewer can accept, hide, or unhide any suggested tag, and retry extraction or sync if something didn't land right the first time.
Accepted tags are durable. If the source document is later deleted or replaced, the tag it produced stays live — evidence and all - rather than disappearing along with the file it came from. A detached tag shows up clearly as unlinked instead of vanishing, so nothing that's already been reviewed and approved quietly reverts.
Where the Tags Go
Accepted recommendations sync into the same tagging and classification system that already powers every other custom element and document type on the platform. Sync status and errors are visible on each tag, so a failed sync is something a reviewer can see and retry rather than something that fails silently.
Built on a Policy Engine That Already Speaks Every Connector
Policy Document Ingestion isn't starting from zero. It's built on Teleskope's existing engine for turning a written policy intent into an executable retention policy - conditions, filters, and actions, translated per data store. It can also correct an already-accepted policy without re-running the whole pipeline, so a wrong assumption is a small fix rather than a redo.
Available Now, With More Coming
Policy Document Ingestion is live in Teleskope today!
