Fifteen days. That's the LGPD window for responding to data subject rights requests. It's a hard legal deadline, and most compliance teams are managing it through email, spreadsheets, or generic ticketing tools that enforce none of the things that actually matter: ownership, sequencing, and evidence quality.
The structural failure isn't volume. It's treating rights requests as one-time tickets. A ticket captures intake. That's it. It doesn't enforce identity verification, legal review, execution by the right team, and documented closure, the full sequence regulators want to see reconstructed on demand. When an authority asks how you handled a specific deletion request from eight months ago, 'we closed the ticket' is not an answer.
Each rights-request type, access, correction, deletion, portability, opt-out, gets its own dedicated Flow with fixed task sequences, required fields, and SLA-linked alerts. The moment a run opens, the 15-day clock is visible to everyone, ownership is explicit, and each phase has a named person responsible for it.
Identity verification is the step most teams skip under deadline pressure. It's also a mandatory task in the Flow with an attached evidence field. Legal review is a formal approval gate: the DPO must approve before the request moves to technical execution. If legal rejects the initial scope, the rejection reason and timestamp are preserved in the run's immutable activity log. That dissent doesn't disappear.
Escalation is not left to memory or calendar reminders. When a run reaches 10 days without closure, Cadenio fires an automatic SLA alert to the DPO. At 14 days, a secondary alert reaches the compliance lead. The fact that each alert fired, and at what time, is part of the audit trail itself.
The result is a defensible compliance record. When a data protection authority requests documentation of how a specific request was handled, the answer is a single exportable run: every task, every decision, every attachment, the full activity timeline from intake to closure. That's the response that ends inquiries quickly.
For organizations with recurring or high-volume deletion requests, before system migrations, under marketing opt-out obligations, or during data subject access campaigns, the Flow model means each request follows an identical, auditable path regardless of who's on shift or how much is coming in at once.