The workflows that automate well are the structured, repeatable ones: routing a data subject access request to the right systems, tracking the 30-day response deadline, sending acknowledgment emails, assembling the response package from connected data stores, and logging the completed request. Similarly, consent collection, storage, and querying automate completely -- the system records what consent was given, when, for what purpose, and via which mechanism, and makes that queryable without human involvement. Data retention enforcement -- deleting personal data after the specified retention period -- automates at the policy application layer, though the retention period definition and the exceptions require human review. What does not automate is the judgment layer: deciding how to respond to a complex access request, assessing the legal basis for a particular processing activity, or making the risk call on a novel situation. Automation removes the administrative overhead. It does not replace the legal and compliance judgment that GDPR requires.