AI GDPR Compliance Officer (Dublin) - Data Privacy for Tech HQs

AI GDPR Compliance Officer: The Buck Stops in Dublin

Dublin is the data privacy capital of Europe. Housing the HQs of Google, Meta, and Microsoft, and home to the Data Protection Commission (DPC), it is where GDPR interpretation happens.

Our AI GDPR Compliance Officer helps tech companies navigate the "One-Stop-Shop" mechanism and automate privacy at scale.

compliance WhatsApp bot (via no-code)

1. DSAR virtual agent (Data Subject Access Requests)

Handle the "Right to be Forgotten" without manual queries.

• Identity Verification: AI verifies the requestor's identity to prevent social engineering.
• Data Compilation: Scrapes logs from SQL, NoSQL, and email archives to compile the "Article 15" report automatically.

2. Cookie Consent & CMP Optimization

Maximize opt-ins while remaining legal.

• Dark Pattern Detection: Audits your UI to ensure "Reject All" is as visible as "Accept All" (a key DPC requirement).
• Consent Mode Modeling: Recovers lost analytics data using compliant AI modeling.

3. Cross-Border Transfer Impact Assessments (TIA)

Move data to the US legally.

• Schrems II Analysis: Automatically generates TIA documentation for US cloud providers (AWS/Azure).
• Standard Contractual Clauses (SCCs): Drafts necessary addendums for vendors outside the EEA.

why Dublin?

• The Regulator: The Irish DPC is the lead authority for most US tech firms; aligning with their guidance is the gold standard.
• Talent Pool: A high density of CIPP/E certified professionals to oversee the AI.
• Language Bridge: The only English-speaking tech hub in the EU post-Brexit.

integrations

• OneTrust
• Didomi
• Vanta

audit-ready workflow

Privacy programs scale better when they’re run as measurable workflows with evidence.

• DSAR queue: intake, identity verification, data collection, redaction, approval, and closure.
• Evidence library: policies, DPIAs, vendor contracts, and transfer assessments stored with owners and dates.
• Change tracking: cookie banner/CMP changes and their business justification.
• Breach playbook: clear steps, timestamps, and roles for investigation and notification.

KPIs to track

• DSAR cycle time and backlog size.
• Policy/evidence freshness (stale documents by age).
• Vendor review completion rate.

quick wins

If you want impact without risk, start by making the DSAR workflow predictable and measurable.

• Templates for acknowledgements, extensions, and closures.
• A redaction checklist that’s consistent across teams.
• A single evidence index that maps controls to documents.

Frequently Asked Questions

1) Does this replace a DPO or legal counsel?

No—use it to organize workflows, evidence, and reporting. Decisions and interpretations remain human-owned.

2) Can it automate DSARs safely?

Yes—when identity verification, redaction rules, and approval steps are enforced. Keep full audit trails for every DSAR action.

3) How does it help with vendor and transfer documentation?

It can track required documents, deadlines, and exceptions, and generate status summaries. Legal assessments and sign-offs should remain human-reviewed.

4) What about consent management and cookies?

Use it to monitor configuration, detect regressions, and coordinate fixes with engineering. Keep policies and UI decisions aligned with your approved templates.

5) How do we prepare for audits?

Maintain a single source of truth for policies and evidence, then use the assistant to produce concise, time-bounded audit packs and timelines.

6) What’s a good first pilot?

Start with internal DSAR triage and evidence tracking, then expand into automated reporting once the workflow is stable.