How do you clear a GDPR request before the SLA runs out?
A DSAR AI Employee that verifies each access or deletion request, locates the subject's data across your systems, and compiles the report inside the SLA, then pauses for a named human in legal to sign off before anything leaves.
×
A GDPR data subject request starts a clock. From the day the requester is verified, there's one calendar month to say what you hold on them, or to delete it. And that data is never in one place. It's spread across a users table, an orders table, support history, an events table, a dozen joins someone has to know by hand. Miss the deadline or miss a table, and the exposure is the regulator's, not just the requester's. The usual approaches don't hold up under repetition. A shared spreadsheet of "where subject data lives" goes stale the moment the schema changes. Handing it to whoever's free means the verification step (confirming the requester actually is the subject, not someone phishing for their data) gets rushed. And a script that queries and deletes in one run has no way to stop and ask a lawyer first.
The DSAR AI Employee reads each request from the legal inbox, verifies the requester against the identity details already on file, then queries your database read only across every table keyed to that subject (account, orders, support history, consent records), and compiles an access report, or a deletion inventory, as a document, well inside the SLA. It never deletes anything and never replies to the requester. It compiles and flags; a named human in legal decides and sends.
See exactly how the work gets done.
Runs on a daily schedule
A scheduled run fires once a day. Each run starts clean, a fresh read of the inbox and the database, so every request is worked from current data and a stale verification is never reused.
Verifies before it locates anything
What counts as proof that the requester is the subject (matching the request against the account on file and the identity details supplied) and the SLA clock itself (one month from a verified request, extendable once for complex cases) travel with the AI Employee as a skill. Nothing is located until a request passes this check.
Connects to your systems, with permissions you set
It reads the request from email and labels the thread once actioned, queries Postgres read only across every table keyed to the subject to build a complete picture, and writes one structured report per request to Docs, ready for a lawyer to read end to end. Credentials stay in memory, never written to disk, never exposed to the model.
Stops at compile and flag
Its only writes are the document it compiles and a label on the thread. Database access is read only. There is no delete path it can reach, even for a request that explicitly asks for erasure, and it never emails the requester.
Hands off to legal with a signature gate
With the report compiled, it posts to legal's review channel with a recommended action (fulfill the access request, or proceed with deletion) and the SLA deadline it's working against. A named human reviews, decides, and is the one who replies to the subject or authorizes any deletion. The AI Employee's job ends at the flag.
Runs in your environment
Every run is isolated inside your own infrastructure. The data never leaves it. Only the compiled report and the flag to legal do.
Read only on the data itself
Database access is read only. It can locate a subject's data across every table; it cannot delete a row, update a record, or run anything but a read query.
Never replies to the subject
Its only outbound message is the flag to legal. The response to the person who filed the request is legal's to write and send.
Deletion always waits for a signature
Even when a request explicitly asks for erasure, the AI Employee only recommends it. No deletion happens until a named human approves and executes it.
You own every rule
The verification rules, the table map, and its per system permissions are yours, versioned and changed on your terms, not buried in a vendor dashboard.
A request that used to mean someone manually joining tables under deadline pressure now arrives in legal's queue as a compiled report, well inside the SLA, with the data located and the action recommended. The AI Employee verifies and compiles; your people decide, delete, and reply.
Every day
The DSAR inbox is checked and any new request worked the same day
0 deletions
Every erasure held for a named human to approve and execute
1 report
One compiled report and recommendation per request, in legal's queue
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do you turn an NDA around in minutes, not days?
Reviews each inbound NDA against your standard positions within 15 minutes, redlines the deviations as suggestions, and drafts a summary for counsel. It never signs or sends.
×How do AI Employees give every contract a first pass review as it lands?
Summarizes each new contract, flags nonstandard clauses against your playbook, and posts the readout to the legal channel with draft redlines. A lawyer signs off before anything reaches the counterparty.
×