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Article 35Article 22Article 9

AI/ML Privacy Impact Engineering

Engineering services for GDPR compliance of AI/ML systems: training data privacy, model auditing, explainability for Article 22 compliance, and differential privacy implementation.

€3,600–€7,200
EUR
80–160
hours
40–80
business days
Fixed scopeEU-nativeNDA pre-signed
💡Quick Answer

GDPR-compliant AI/ML engineering: training data anonymization/pseudonymization, model bias and re-identification risk audit, explainability implementation (SHAP/LIME) for Article 22 automated decision-making, and differential privacy for model training. Fixed price €3,600–7,200.

📋Why this service exists

Articles 22, 35, and 9 impose specific obligations on AI systems: automated decisions cannot have legal effects without human review, high-risk AI requires DPIA, and training on special category data requires explicit consent or substantial public interest. AI systems also create re-identification risks — models can 'memorize' training data.

Article 35Article 22Article 9

What you get

  • Training data privacy audit (re-identification risk)
  • Differential privacy implementation for model training
  • Explainability layer (SHAP/LIME) for automated decisions
  • Bias audit report
  • Article 22 compliance assessment
  • Model card with privacy properties documented
  • Technical DPIA component for AI system

How we deliver

  1. Day 0
    You request quote → reply in 4 business hours
  2. Day 1–2
    Discovery call & scope clarification
  3. Day 3–5
    Contract signed, kickoff scheduled
  4. Day 5–7
    Implementation begins
  5. Day N
    Final deliverables + walkthrough call
  6. +30 days
    Free post-delivery support

Tools & technologies

Differential Privacy librariesIBM AI Fairness 360TensorFlow Privacycustom audits

Prerequisites

  • ML model and training pipeline access
  • Training data description (categories, volume)
  • Business description of automated decisions made by the model

Pricing

Base scope€3,600–€7,200
Estimated hours80–160h
Hourly rate€45/h
Delivery time40–80 business days

✓ Within scope:

  • •One ML model or AI pipeline
  • •Python ML stack (scikit-learn, PyTorch, TensorFlow)
  • •Standard privacy techniques

⚠ Outside scope (additional quote required):

  • •Novel privacy-preserving ML research
  • •Multiple models
  • •Legal Article 22 impact assessment (lawyers' scope)

📋Final price confirmed in proposal within 4 hours of your request.

Realistic timeline — what to expect

  1. T+0hSubmit request
  2. T+4hInitial proposal (business hours)
  3. T+1–3dDiscovery call
  4. T+2–3dFinal invoice
  5. T+3–5dContract signed
  6. T+4–6dPayment received
  7. T+5–7dService kickoff
  8. T+5–7d+NService complete
This timeline reflects EU B2B best practices. We protect both parties from misunderstandings.

Frequently asked questions

What is differential privacy and does our model need it?
Differential privacy adds mathematically calibrated noise to model training to prevent individual training examples from being extracted by adversaries. It's recommended for models trained on health, financial, or other sensitive personal data. We assess whether your model needs it during discovery.
Does Article 22 apply to all our AI decisions?
Article 22 applies to 'solely automated' decisions with 'legal or similarly significant effects.' Most AI recommendations (product recommendations, content ranking) are not in scope. Automated credit scoring, hiring screening, or insurance pricing typically are.

Related services

📋

DPIA Technical Component Development

Develop the technical component of a Data Protection Impact Assessment: system description, data flows, threat model, technical risk assessment, and proposed mitigations.

€1,800–2,700
📋

Automated Decision-Making Compliance (Article 22)

Engineering implementation of Article 22 safeguards for automated decisions: human review mechanisms, explainability, audit trails, and data subject right to contest.

€2,700–4,500
🔐

Pseudonymization Architecture

Design and implement a pseudonymization system that separates real identities from behavioral data — enabling GDPR Article 25 data minimization and reducing breach risk.

€2,700–5,400

Request a quote

You're requesting a quote for:

AI/ML Privacy Impact Engineering

Estimated: €3,600–7,200 · 40–80 business days

Initial proposal within 4 business hours, contract within 3 business days.

Where we'll send your proposal and invoice.

If you prefer to discuss by call.

🔒 Your data is encrypted in transit and at rest. Never shared with third parties.

⏱ Initial proposal within 4 business hours (EU hours, Mon–Fri 9:00–18:00 EET).

💼 Mutual NDA available on request before any sensitive discussion.