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2024 — 2025Automotive OEM

Regulatory data governance for data & AI.

Compliance is integrated into operational data usage with clear responsibilities, traceable approvals and a robust data inventory

The question

How do data stay usable for business and AI when unclear responsibilities, missing documentation and new regulatory requirements create significant compliance risks?

Our answer

Together with business, IT and legal, we translated regulatory requirements into operationally applicable governance principles. Roles and responsibilities were bindingly defined and integrated into an end-to-end process for data inventory, review and approval. This anchors compliance traceably without unnecessarily slowing down the use of data.

What we delivered

01 — REGULATORY FRAMEWORK

Regulatory requirements made operationally applicable

Requirements of the EU Data Act and EU AI Act translated into concrete governance principles

02 — ROLES & RESPONSIBILITY

Clear ownership for review and data usage

Responsibilities and decision paths bindingly defined together with business, IT and legal

03 — GOVERNANCE PROCESS

Compliance integrated into data usage

An end-to-end process for inventory, review, approval and documentation of data established

What it achieved

  1. Regulatory requirements translated into operationally usable processes
  2. Integrated compliance processes reduce risks and manual coordination effort
  3. Clear responsibilities accelerate data review and approval across the company
  4. A usable data inventory creates transparency and reliable auditability
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Portrait of Lukas Klein
Portrait of Lina Broska