AI Data Protection Officer (DPO)

Comply Ark AI DPO helps privacy owners turn privacy decisions into verified outcomes.

A customer withdraws consent, but their details may remain active across a CRM, email platform, database and manually maintained campaign list. Recording the request does not establish that the marketing has stopped.

AI DPO brings that work into one accountable workspace. It identifies gaps between reported actions and observed outcomes, coordinates purpose-specific remedies, and requires evidence before work is marked complete. Connected systems undergo verification; disconnected systems require owner evidence and independent review.

Each completion receipt records what was done, the supporting evidence and any unresolved scope. Privacy owners can distinguish verified technical outcomes from human confirmations and follow the request through to response delivery.

The wider workspace connects privacy requests, consent, policies, processing records and privacy impact assessments, helping in-house counsel and operational teams manage responsibilities, approvals and follow-up work.

The interactive prototype demonstrates these workflows using fictional records and simulated integrations.

Companies hold customer information in many places: databases, sales software, email tools and spreadsheets. When a customer asks them to stop using that information for marketing, someone must ensure the request is carried out everywhere it matters.

Comply Ark AI DPO gives the person responsible for privacy one place to manage that work.

Key features

• Find requests that have not been fully carried out. The demo shows a customer asking to stop promotional messages. Although the email system reports that it accepted the request, a check reveals that she is still on its marketing list.

• Show what needs to happen next. Identify the affected systems, the action each requires and the person responsible. Keep unfinished work visible.

• Let the responsible person approve changes. Review the proposed action before it runs. For example, stop promotional messages while keeping order updates and other service messages working.

• Check whether the change worked. Verify that the customer has actually been removed from the relevant marketing audience before marking the work complete.

• Include spreadsheets and manual work. When a system cannot be checked automatically, ask its owner for evidence and have another responsible person review it.

• Keep a clear record. Show what was completed, who reviewed it, what evidence supports it and whether the customer received a response.

The prototype uses fictional customer information and simulated systems to demonstrate the complete process.

We are seeking privacy owners and in-house counsel to test the workflows, legal practitioners to review source mappings and evidence standards, and engineering partners to qualify integrations across consent, CRM, database and messaging systems.