Privacy automation that's
visual, testable, and powerful
Build complex privacy workflows with a drag-and-drop canvas. Connect any trigger to any action through conditional branches. Test before publishing. Monitor every execution.
Drag-and-Drop Node Builder
Visual workflow canvas powered by React Flow. Drag trigger, condition, and action nodes onto the canvas and connect them to build complex automation flows without writing code.
Trigger / Condition / Action Nodes
Start workflows from any event (consent granted, DSAR filed, breach detected). Add conditional branches (if regulation = GDPR, if severity = critical). Execute actions (send email, create task, call API).
Workflow Templates
Pre-built templates for common privacy patterns — consent-to-DSAR flow, breach notification chain, vendor DPA renewal, training assignment. Clone and customize to your needs.
Test Run Before Publishing
Simulate workflow execution with test data before going live. See exactly which path the workflow takes, which conditions match, and what actions would fire — without side effects.
Execution History & Monitoring
Full execution log for every workflow run. See trigger event, path taken, actions executed, duration, and outcome. Filter by status (success, failed, skipped) and date range.
Duplicate & Version Workflows
Clone any workflow to create variations. Version history tracks every change. Roll back to a previous version if a published workflow causes issues.
Visual flows for
every privacy scenario
Build automation that connects your consent events to downstream actions. When a user withdraws consent, automatically trigger DSAR processing, update marketing systems, and notify the DPO.
{
"name": "Consent Withdrawal Flow",
"status": "active",
"trigger": {
"event": "consent.withdrawn",
"filter": { "regulation": "GDPR" }
},
"actions": [
{ "type": "create_erasure_job",
"systems": ["CRM", "Email"] },
{ "type": "send_notification",
"to": "dpo", "channel": "email" },
{ "type": "execute_connector",
"connector": "salesforce" }
],
"executionCount": 1842,
"lastRun": "2026-03-15T14:32:17Z"
} Why teams choose this
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