AI Data Protection Consultancy
Home / AI Consultancy Services
We specialise in AI and Data Protection
Our team are experts in the data protection requirements that relate to the adoption of Artificial Intelligence (AI) within organisations.
There are numerous legislations that can apply depending upon what country your organisation operates in and what countries citizens are in scope for the processing of their personal data.
Our services support the necessary risk assessments and data privacy requirements that organisations need to implement prior to designing and implementing their AI solution (e.g. Microsoft Co-Pilot).
- Certified DPO
- Experienced in AI Data Privacy
- Meet Legal Requirement
- Reduce Compliance Risk
- Broad Business Knowledge
- Strong IT Background
- Cost-Effective & Fast Service
- Low Cost Compliance
- Strong Commercial Benefits
Note – we can provide discounts for charities, contact us for more information.
Are you implementing Co-Pilot?
AI and Data Protection
What are the data privacy concerns in relation to AI?
There are a number of headline concerns about data privacy and the use of AI.
Lawful basis for the processing of personal data and how this is effectively obtained.
How decisions are made based on automation and the use of AI.
How data subjects have the right to contest decisions and what controls are in place for human intervention.
Security controls, specifically relating to data minimisation and encryption.
The potential for discrimination within decision making.
The possible lack of transparency for data subjects in relation to their data processing.
Examples of applicable legislation
The GDPR (EU regulation) has strict rules on how AI processes personal data. Key requirements include:
- Lawful Basis for Processing (Article 6)
AI systems must have a lawful basis (e.g., consent, legitimate interest, legal obligation) before processing personal data. - Obtaining Consent – Article 7 (GDPR) Sets the conditions for obtaining valid consent for data processing. AI must process data lawfully, transparently, and fairly, and often requires explainability, human oversight, and consent.
- Data Subject Rights (Articles 12-22)
Individuals have rights such as:- Right to be informed. (explainable AI)
- Right to access data.
- Right to rectification.
- Right to erasure (right to be forgotten).
- Right to object to automated decision-making (AI-based decisions must have human oversight).
- Automated Decision-Making & Profiling (Article 22)
If an AI system makes fully automated decisions with legal effects, individuals must have:- The right to contest decisions.
- Human intervention in critical cases.
- Transparency on how the decision was made
- Privacy by Design & Default (Article 25)
AI systems must incorporate data protection measures from the start (e.g., data minimization, encryption). - Data Protection Impact Assessment (DPIA) (Article 35)
If AI processing poses high risks to individuals (e.g., biometric recognition), organisations must conduct a DPIA. - Cross-Border Data Transfers (Articles 44-50)
AI systems processing data outside the EU must comply with international transfer rules (e.g., Standard Contractual Clauses, adequacy decisions).
The UK legislation broadly aligns with the EU GDPR, however it does allow more flexibility in AI innovation.
Note – The UK is developing its own AI regulations, focusing on accountability, fairness, and explainability in AI systems.
Visit the ICO website for more information.
The EU AI Act (expected enforcement in 2025) introduces risk-based AI regulation:
Unacceptable risk AI (banned): e.g., real-time biometric surveillance, social scoring.
High-risk AI (strict requirements): e.g., healthcare, banking, critical infrastructure.
Limited-risk AI (transparency obligations): e.g., AI chatbots.
Minimal-risk AI (no restrictions): e.g., AI-powered video games.
If an AI system processes personal data, it must comply with both the EU AI Act and GDPR.
The CCPA (2018) & CPRA (2023) set AI-related data protection rules for companies handling California residents’ data:
Right to opt-out of automated decision-making
Right to know if AI is making decisions about them
Right to correct and delete personal data
Stronger consent requirements for sensitive data (e.g., biometric data)
Similar to GDPR, but stricter on data localization (AI using Chinese citizens’ data must store it in China).
Requires explicit consent for AI-based decisions.
Prohibits unfair AI discrimination.
How do we support our clients?
Our service is project based, it covers your specific planned implementation of AI within the organisation.
The service includes:
Reviewing the full scope of the implementation.
Assessing relevant legislative requirements.
Completing the required risk assessments.
Developing recommendations for data protection compliance.
Providing advice and guidance as to how to implement the recommendations e.g.
Transparency
Legal basis
Decision making management
Undertaking a review of the implementation once completed to ensure that it is compliant.
Other Services
Are you GDPR compliant?
AI and how to demonstrate compliance
Know Your Processing
You need to fully understanding how AI will process personal data and have this fully documented within your existing ROPA.
Adhere To The Principles
Adherence to the basic principles of data protection is the foundation of GDPR compliance. The use of AI has to abide by these principles.
Implement Privacy By Design
Design and implement your AI solution with data privacy as a core requirement. Privacy compliance has to be included in the way that the system functions.
Monitor and Manage Compliance
The AI solution needs to have some human oversight, particularly when automated decision making is part of the system functionality.
Current Incentives
We are offering discounts of 10% for small AI compliance projects of 15% for larger AI compliance projects
Our Certifications
