You may not need an in-house DPO. You need the right one!

WHY THIS MATTERS

Your organization is accountable not only for how it collects, uses and protects personal data under the GDPR and other privacy laws, but also for how that data is used in AI systems and how AI tools are selected, deployed and governed.

These responsibilities increasingly overlap. Regulators expect clear ownership, appropriate risk assessments, defensible documentation, effective policies and role-specific training. Weakness in any one area can expose the organization to regulatory action, operational disruption, reputational harm and loss of customer trust.

HOW WE HELP

We provide embedded DPO services and AI governance oversight, helping your organization identify its obligations, build practical controls and maintain defensible evidence across both privacy and AI governance.

1. Core Data Protection Compliance

• Maintain and update Records of Processing Activities. 
• Oversee DPIAs, transfer impact assessments and legitimate interests assessments. 
• Review and document lawful bases for processing. 
• Draft and update privacy policies, notices and consent mechanisms. 
• Support the handling of data subject rights requests within applicable deadlines. 

2. Breach Response and Incident Management

• Support investigations into personal data breaches. 
• Prepare regulator notifications, incident records and internal reports. 
• Coordinate remediation, lessons learned and post-incident reviews. 

3. Privacy Training and Governance

• Deliver role-specific privacy training for staff and leadership. 
• Maintain a compliance calendar for key regulatory obligations. 
• Advise on privacy risks arising from strategic projects, products and operational changes. 

4. AI Governance Under the EU AI Act

• Map AI systems and tools used across the organization. 
• Identify applicable roles, obligations and risk categories. 
• Draft and implement proportionate AI governance and acceptable-use policies. 
• Support Article 4 AI literacy through role-specific staff training. 
• Establish safeguards for personal data, confidential information and intellectual property used with AI tools. 

5. Vendor and Third-Party Oversight

• Assess SaaS, technology and AI vendors for privacy, security and governance risks. 
• Review data flows, responsibilities and subcontracting arrangements. 
• Negotiate contractual safeguards to protect the organization, its data and its customers. 

6. AI Risk Classification and Compliance Pathways

• Assess whether in-house or third-party AI systems may fall within prohibited, high-risk, transparency or other regulated categories. 
• Identify the obligations associated with the organization’s role in the AI supply chain. 
• Develop proportionate compliance pathways, governance records and evidence of oversight. 

WHY CHOOSE A COMBINED APPROACH?

• One coordinated point of oversight across privacy and AI governance. 
• Integrated controls that reduce duplication, cost and operational complexity. 
• Earlier identification of risks arising where data protection and AI obligations overlap. 
• A governance structure designed to adapt as your AI use and regulatory obligations evolve.