The COMPLION team is made up of experienced, highly specialized individuals from a variety of professional backgrounds. With this wide spectrum of expertise we are able to support our clients in solving IT-related challenges.
Our focus is on the areas of cybersecurity, digitalization and Software Asset Management. With our many years of experience, we support our clients in the areas of compliance, increasing efficiency and reducing costs.
We can achieve more together than we do alone. That's why we are looking for innovative thinkers who want to strengthen our team of consultants and take on responsibility for important tasks in exciting projects.
How Is Artificial Intelligence Changing the Path to a Career in IT Consulting?
Concerns about entering the IT consulting field have grown in recent months. In 2021, 78% of new graduates still rated their chances on the job market as good or very good. By 2026, only 37% of respondents will share that view. One reason for this is the supposedly unstoppable adoption of artificial intelligence in companies. At least, that’s what a survey by WirtschaftsWoche suggests: More than 1,000 HR managers plan to hire about 35% fewer new graduates by 2030. Unfortunately, the news from recent months does not paint a reassuring picture.
Context Over Models: What Really Matters When Choosing an AI Platform
Bei der Wahl der KI-Plattform vergleichen Unternehmen verschiedene Modelle, Funktionen und Lizenzpreise der Anbieter. Über den langfristigen Erfolg entscheidet allerdings etwas anderes:
Welche Plattform der KI den Zugang zu den relevanten Unternehmensdaten verschafft.
What I’ve learned about consulting, experience, and my aversion to PowerPoint in my first seven months at COMPLION. It’s January 16, 2026. I’m sitting in Cologne, holding a cup of coffee, and looking at an Excel presentation with 8-point font. In front of me are tables, numbers, and more columns than any human should have to take in on a screen at once. In a few days, I’ll officially become a management consultant.
Data Protection in AI Systems: Transparency, Accountability and Secure Data Processing
AI systems are entering businesses, often faster than data protection teams can keep up. But who is actually responsible when a chatbot processes personal data? What legal basis supports training proprietary models with existing customer data? And what happens when a data subject requests access to information contained in a language model that can no longer be reliably searched from a technical perspective?
