Implementing Artificial Intelligence in the Enterprise
AI tools such as ChatGPT or Copilot are already used privately and increasingly at work. Often this happens without the organisation knowing. Used correctly, AI speeds up research, automates routine tasks, and creates room for innovation. At the same time, organizations must protect sensitive data, limit liability and meet rapidly evolving European and German requirements.
Why unregulated AI use is risky
The EU AI Act of 1 August 2024 classifies AI systems by risk and imposes wide-ranging requirements on high-risk applications (quality, transparency, documentation). Most provisions apply after transition periods, generally from August 2026, with earlier dates for individual rules. National regulations such as the BDSG, TTDSG, and the IT Security Act 2.0 add stricter reporting and higher fines. The German implementation of NIS 2 and the KRITIS umbrella legislation will oblige many more organizations to introduce systematic cyber-risk management.
Operators of critical infrastructures must comply with several frameworks at once. For them, best effort is not enough. They must prove, at any time, that AI solutions were assessed for robustness, data protection and ethical risks before using and that these checks are updated regularly.
Using AI responsibly
Our consulting approach follows four steps:
- Define business-relevant AI use cases and expected value.
- Map EU and German requirements to your situation.
- Select suitable models/providers and define policies (use, data, approvals).
- Train employees on secure, compliant and ethical AI use.
This embeds technical and organizational measures in daily work.
Unlocking potential, staying competitive
Organizations that act early gain compliance security and trust with customers, partners and regulators, while using AI productively.
