Kompetenzen

Governance & Compliance

MIssion

The Governance & Compliance team ensures that AI services are implemented and operated with high quality, security, and compliance throughout their entire lifecycle. As a connecting element between business units, stakeholders, and technical teams, the team creates reliability, transparency, and operational security. For customers, this means reduced risk, stable AI operations, and traceable decisions – supported by standardized, scalable governance models and targeted AI deployment for quality assurance.

ÜBER UNS

Wer wir sind

The team is part of the Strategy Division and complements existing AI innovation units with a governance and compliance perspective.
It acts as a translator between regulatory requirements and technical implementation, ensuring that responsibility, security, and efficiency are systematically embedded in AI solutions.

VERANTWORTUNGSBEREICHE

Was wir abdecken

The team is responsible for:

  • Translating regulatory requirements into clear standards, policies, and controls
  • Establishing governance, security, and data protection structures for AI services
  • Ensuring compliance throughout the entire AI lifecycle
  • Quality assurance, audit preparation, and continuous performance evaluation
  • Integrating governance requirements with operational and service models (IT Service Management)
WERTBEITRAG

Was wir bewirken

Customers benefit from:

  • Trust in AI solutions that are regulatorily sound and technically robust
  • Reduced risks through clear governance structures and proven standards
  • Traceability & transparency in AI decisions and operational processes
  • Scalability, as compliance is implemented systematically rather than on a project-by-project basis
  • Planning certainty, even with changing regulatory requirements
WIE KI UNSER ARBEITEN STÄRKT

Mehrwert durch KI

AI is specifically deployed to:

  • Implement governance and compliance processes consistently and efficiently
  • Automatically monitor quality and performance metrics
  • Support documentation and audit preparation
  • Make complexity in AI landscapes manageable

The focus is not on automation for its own sake, but on reliability, auditability, and sustainable operation.