We assess the impact of the AI Act on GDPR and design alignment plans. We support you with expert guidance to implement safe, ethical, and transparent compliance.
The objective is to ensure that the Artificial Intelligence systems used or developed by the organization comply with the European AI Act and with data protection regulations (GDPR), reducing regulatory risks, sanctions, and reputational impact through a structured process of assessment, adaptation, and implementation of controls and documentation.
Applies to AI systems included in the AI Act according to their risk classification:
- High-Risk AI.
- Systems interacting with people.
- Models that process personal data automatically.
- Internal models developed by the organization.
- AI solution providers and integrators.
- Third-party integrated AI.
- MLOps / Cloud / Edge platforms.
- Processes involving automated processing of personal data.
Target audience:
- Companies that develop or integrate AI (providers).
- Companies already using or planning to implement AI in key processes.
- Organizations operating high-impact AI such as those in finance and insurance, healthcare, energy, mobility, public administration, retail, telecommunications, etc.
- Departments managing sensitive data: HR, security, marketing, operations, product.
- Anticipated regulatory compliance: Avoid fines, product suspension, or loss of access to the EU market.
- Early identification of critical risks: Prevention of incidents and associated costs.
- Reduction of privacy and security risks: Minimizes impact on customers and reputation.
- Protection of data, models, and intellectual property: Lower exposure to information leakage.
- Increased trust and transparency in AI use: Greater acceptance by users, auditors, and partners.
- Robust AI governance: Improved control, oversight, and quality of outcomes.
- Faster approval of AI systems: Removal of regulatory barriers.
- Phase 1: Security and Privacy/Data Protection Risk Assessment
- Phase 2: Gap Assessment
- Phase 3: Alignment and Mitigation Plan
- Phase 4: Implementation Support
- Implementation of procedures: human oversight, risk management, monitoring.
- Support in creating mandatory documentation (explainability, traceability, logs, system sheets).
- Implementation of AI incident protocols.
- Support in High-Risk AI certifications.
- Training for technical, legal, and business teams.