AI and the Power of Possibility 

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AI and the Power of Possibility 

Published on November 9, 2026

By Moritz Böttger, AI Technology Lead, Advanced Surgery  Every day seems to bring another AI headline, from a new model or prediction to discussion about how artificial intelligence will transform the way we work.  The pace of change is remarkable, and like many people, I don’t pretend to know exactly what the future will look…

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By Moritz Böttger, AI Technology Lead, Advanced Surgery 

Every day seems to bring another AI headline, from a new model or prediction to discussion about how artificial intelligence will transform the way we work. 

The pace of change is remarkable, and like many people, I don’t pretend to know exactly what the future will look like. What I do know is this: I’m excited to come to work every day, not because of the latest AI announcement, but because of the people I work with and the problems we’re solving together. 

Over the past year, we’ve seen AI evolve from a promising technology to a practical tool that employees use to make their work more effective. Many of us began exploring AI through Microsoft Copilot. Today, tools like Claude and models such as Opus 5.5 are expanding what’s possible, especially when working with large amounts of information and complex documentation. 

For organizations operating in regulated environments, that’s particularly meaningful. 

The goal isn’t to let AI make decisions for us. It’s to help us work through information more efficiently so we can focus our time and expertise where they matter most. 

That’s what I see happening across our teams. 

In Corporate Finance, Grace Penna is using AI to reduce time spent on repetitive reporting and analysis activities, allowing more focus on insights and decision-making. She’s also explored reusable workflows that help improve consistency and efficiency across teams. 

In Systems Engineering, Jens Hofmann has used AI to navigate technical documentation more efficiently. By reducing the time spent locating information, AI creates more opportunities to focus on engineering challenges, innovation, and product development. 

Software Architect René Pätznick sees similar benefits. Modern product development depends on information from requirements, architecture documents, source code, project plans, and technical systems. AI helps connect those sources more effectively, reducing time spent searching and increasing time available for designing robust solutions. 

What stands out to me isn’t that employees are using AI. It’s how they’re using it. They’re applying their expertise, questioning outputs, validating information, and using professional judgment every step of the way. 

 In regulated industries, that’s essential. The value of AI doesn’t come from replacing expertise. It comes from amplifying it. 

I’ve also noticed something harder to measure but equally important: People are genuinely excited to explore what’s possible. 

They’re sharing prompts, exchanging ideas, comparing approaches, and helping each other learn faster. Curiosity is creating momentum, and collaboration is accelerating progress. 

That’s the part of this journey that excites me most. Innovation has never been about technology alone. It’s about people who are willing to challenge the status quo, explore new possibilities, and help others succeed along the way. 

As AI continues to evolve, so will the opportunities in front of us. I’m optimistic not because technology will solve every problem, but because I see talented people using it to solve problems, learn faster, and help one another succeed. 

That’s why I’m excited to come to work right now. 

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