Data Governance
Ensuring data quality, classification, and availability across the organization.
- Data Architecture & Flow
- Data Quality Management
- Data Lifecycle
ConsultingServices.aiKI-Consulting für KMUPhase 5: Governance
We create the necessary governance to use data and AI responsibly, securely, and compliantly. This builds trust and minimizes risks. Typical duration: 4–12 Weeks (can run parallel).
What you receive
A structured blueprint for secure and compliant AI usage.
Clear rule sets that employees can easily understand and apply.
An established organizational structure with clear accountability.
Mechanisms to monitor and mitigate data and AI risks.
Quality standards and release processes for your models and datasets.
Detailed Focus Areas
Ensuring data quality, classification, and availability across the organization.
Protection of sensitive information and compliance with legal requirements (DSGVO/GDPR, AI Act).
Establishing guidelines for the responsible and transparent use of AI models.
Standardized workflows for the release and operation of AI applications.
Clear responsibilities and structures for managing Data & AI.
Our Approach
We analyze current data handling and identify compliance gaps.
Development of tailored guidelines and organizational structures.
Deployment of technical guardrails, IAM, and testing tools.
Training employees on the new guidelines and processes.
Regular audits to ensure ongoing compliance.