Episode 34: From Assistance to Action: The Rise of Agentic AI

Artificial intelligence has changed the way companies work, and now a new phase is emerging. Whereas earlier systems could only respond to prompts, Agentic AI is designed to handle entire workflows.

For companies, the shift is profound, as it promises greater efficiency, faster decision-making and entirely new ways of structuring work. At the same time, it raises important questions around control, accountability and integration into existing business processes. 

Germany, with its strong industrial base and growing AI ecosystem, is positioning itself as a key player in this transformation. Companies and institutions across the country are exploring how agentic AI can be scaled responsibly and effectively. And there’s lots of room for international companies to enter the market.
 

 

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Our Guests

 

Daniela Rittmeier is a supervisory board member, advisor and head of Capgemini’s Generative AI Accelerator, leading AI integration and scaling across industries and value chains. With over 20 years of experience driving transformation and innovation, she’s a thought leader in sustainable, anthropocentric AI and an advocate for women in technology  and digital education. 

 

Des Traynor is co‑founder and chief strategy officer of the customer messaging and support platform Intercom, which has expanded to Germany. He has driven Intercom’s shift toward AI‑first product strategy and development, including the creation of AI agents such as Fin.

 

Transcript of this episode

[Audio: Ping, Zoom sound] (vll. die ganze Zeit im HG, um Gespräch abzusetzen? 

 

Presenter:
Hey AI, I’m traveling to Berlin tomorrow for some meetings. Can you organize my trip?

AI AGENT (computer generated voice):

Of course. I see you have a meeting at 10 a.m. in Berlin Mitte. I’ll look for the best travel options.

[Audio break - work in progress]

AI AGENT:
I’ve found three options. The fastest is the 7:02 a.m. train from Munich. Shall I book it?

Presenter:
Yes, please.

AI AGENT: 

Done. Taxi reserved for 6:20 a.m. I noticed that your meeting location is close to your usual hotel. I’ve booked a room. And since your return train is after 7 p.m., I’ve scheduled a dinner reservation nearby in case the meeting runs long.

Presenter:

Perfect. Thank you. 

 

[Short audio sound]

 

Presenter: 

Artificial intelligence has already changed the way companies work, but now a new level is emerging, ushered in by agentic AI. Unlike traditional AI tools that respond to prompts, agentic AI systems can plan, decide and take action. Instead of asking an AI to search for trains or reserve a hotel, you simply give it a goal – and the system figures out the steps on its own. That could fundamentally change how companies operate. And that’s why today we’re taking a closer look at the rise of agentic AI. Welcome to Into Germany – the German business podcast from Germany Trade & Invest. I’m your host, Kelly O’Brien.

Planning business trips is, of course, only one use for agentic AI. Another popular one is customer service. Later in the program we’ll be talking to Des Traynor, Co-founder and Chief Strategy Officer, at a fast growing company called Intercom.

 

Des Traynor, Intercom:

People who get instant accurate answers are really happy. People who got a dedicated team who have a lot of time for them are really happy.

 

But first let’s get an overview. The global agentic AI market was worth around five billion USD in 2024 but has been predicted to grow to 50 billion or more by 2030. And a study by global consulting and technology services company Capgemini suggests the technology could generate up to 450 billion USD in economic value by 2028 through revenue growth and cost savings.

To explore what this means, we’re joined by Daniela Rittmeier, Head of the Generative AI Accelerator at Capgemini. Daniela, you’re leading the AI integration and scaling across the industry and along the value chain. The term agentic AI is everywhere right now. What does it actually mean?

 

Daniela Rittmeier, Capgemini:

For a lot of our clients, the AI world just opened with a chat GPT hype at the end of 2022. In 2023 everybody was focusing on generative AI. So to build kind of systems which can assist the humans, translate, summarize. In 2024, everything was about AI agents: Can I build an agent which is automating one process end-to-end with human oversight or without the control? And since last year, we are talking about agentic AI. So these are kind of multi-agent systems. That means that the agents are communicating to each other. And for the one or the other thing, you may not need that human oversight. We cannot imagine now and anticipate what that brings for our future, but we know and we all feel that this will be a disruptive change, especially in the collaboration and interaction of a human and the machines. So this is what we already see and will disrupt the entire business and also the entire industry.

 

Presenter:
So, what problems does agentic AI solve for enterprise clients?

Daniela Rittmeier, Capgemini:

So what we see at the moment across the industry for our clients is that they really have the challenge to integrate and to measure the value add. So everybody was doing it in the last decades, hundreds of POCs, proof of concept to test and validate what might be possible with artificial intelligence. But the challenge at the moment is to measure it. In Germany, just 6% are able to measure the data value add. So what we are doing is also to put the focus on measurable value add and to transfer the knowledge across the industry and along the value chain to accelerate the development of our client in the kind of need for speed we see at the moment in the market. And what we're doing there, we are taking and developing reusable, adaptable AI assets, which we then can copy-paste, and adapt for the other clients. And this is really, really accelerating their development and their transformation. 

 

Presenter:

You’ve written that AI allows companies to go beyond efficiency and move toward real innovation – meaning they cannot only perform existing tasks more efficiently but also develop entirely new intelligent products and services.

You’ve worked on AI strategy and large-scale use cases before joining Capgemini – including leading the autonomous driving platform and AI strategy across the value chain at BMW Group. From your experience in industry and now in consulting, what does this shift from efficiency to innovation actually look like in practice?

 

Daniela Rittmeier, Capgemini:

If you take the entire AI portfolio of the clients, you see of course multiple goals. The one goal for the client side is to automate the processes they have to increasing the profitability and of course at the moment to reduce costs. And the other thing is to develop intelligent products. So at the moment, and especially in the last two years, because of the geopolitical and economical challenges, we see that the hardware driven industry and Germany and Europe is just focusing on increasing profitability, using the technology to reducing costs. And I see that as a really big concern. Because that will not help us on the long term to be and to stay competitive in the global customer digital ecosystem. So I think if we think about the different industries, we can think about automotive where I'm coming from. So there it's not about just the cars to develop faster and more efficient. It is also to think about the future of mobility, what mobility services to come from A to B mean. Sustainable, fast, cost reducing, of course. And if you look for healthcare, for example, it is not about to develop the next X-ray or the medical device. It is about to think the potential of AI driven future of healthcare services and prevention first. So what can we do for the society and for the humans? And of course, because of the geopolitical situations and what we see around the world, defense is also on the focus there. And from my perspective, it's not about, to make a trunk or drone intelligent. It is about to connect with data and AI technologies, the different kind of devices and the armed forces to defense to defense, to have that kind of intelligence systems which are helping us as humans and bringing us to other new business models. 

 

Presenter:
How would you describe the current state of generative AI adoption in Germany?

 

Daniela Rittmeier, Capgemini:

So if we look to the facts and figures around the world, and especially also in Germany, we can see that still 90% of the AI use cases are stuck in that so-called POC, proof of concept phase, and bringing not the value and the return of invest the clients were thinking about. And with agentic AI, it is even worse. So last year we did from Capgemini a corporate research institute report where we deep dived in that one. And we found out that just 2% of the agentic AI technologies are really integrating and scaling and have the potential to bring that value add. 

 

Presenter:

From your experience, what are the core challenges holding German companies back from scaling these technologies?

 

Daniela Rittmeier, Capgemini:

The one thing is that the data accessibility and the data quality is not the way how we need it. And if you look to Germany, we are coming from a, let me say, hardware driven physical world, and a lot of time, the core challenge is that the data is not in a way AI ready. And the other point is: The infrastructure in the past was not made to bring that data into the loop, to generate a value add. It was more made to store the data somewhere in a data center. So there we made a big progress in Germany and in Europe I think in the last years. The core challenge is a mindset a little bit in Germany. We see that the C levels understood that they have to integrate the technologies. And also the labor workforce, because there's so much pressure with a lack of competencies and with a need for speed. But we see a little bit, a kind of fear, fear of losing the power of the mid management. And I always call it a little the hippo syndrome, the highest paid person in the room. We are used to this, that in the past, a lot of times we were trusting on that one. And this is hindering a little bit us. So the challenge is there also to have that mindset shift to go from the hardware development to the hardware software driven development and to the data driven development. But in a nutshell, I think we have all we need in Germany from technology side and from data side. I think, we just have to join the forces and just do it.

 

Presenter:
Talking about challenges, Germans are said to be rather conservative when it comes to adopting new technologies. In your latest reports, you also asked customers whether they trust AI. In 2023, shortly after the launch of ChatGPT, more than 70 percent of respondents said they trusted AI-generated content. Over the following years, that number dropped significantly – to currently just 27 percent globally…

 

Daniela Rittmeier, Capgemini:

So everything is about trust and about test and validating of the AI systems. In Germany we have that additional thing of the German fear, I call it. So if you also look to the database, I think it was from the Bitcom and also OECD did a research there, 65% of the Germans in business fear to be replaced by AI and to lose their job, this is a real challenge. We also have that zero fault mindset. We like to be right the first time, which is in a way also unrealistic in hardware driven industry and even more in software. So this is a little bit hindering us, the mindset to go forward there. So in a nutshell, the solution is to educate a society and to learn like we are doing here with a podcast, to learn about the technologies and to work against that fear and to work pro the trust.

 

Presenter:

Earlier, you mentioned that about two percent of companies have already implemented agentic AI. Which industries in Germany are currently leading the way when it comes to adopting AI technologies?

 

Daniela Rittmeier, Capgemini:

We see a quite heterogene landscape also in the different kind of industries. So sometimes in automotive, we have some starters, others are more the experimenters or the shapers already. If you look to the last decade, I would say in the automotive sector, especially because of autonomous driving and the topics of software-defined vehicles, the automotive industry and the first-trend industry partner learned a lot. And also, if you look to another industry, the life science sector, I think there was big push because of Corona. Life science sector, health care and pharma, they are – especially in the R&D sector, so research and development and the product development – quite good because this is a mindset: They need that kind of data-driven and AI technology to be as fast as they has to be. And if you look also to public or also the defense sector – because of the geopolitical situation and also the big pressure concerning skills shortage in the labor market – there’s also a big push.

 

Presenter: 

You’re based in Munich and often talk about the strength of the German innovation ecosystem. From your perspective, what makes Germany – and cities like Munich – an attractive place for AI development right now?

 

Daniela Rittmeier, Capgemini:

Munich has an amazing mountain view, yes, it is a big village, like in the valley. And I think this is the place to be for the tech. And in the German ecosystem, I think we have all we need to integrate and scale. We have the competencies. We have engineers from the grownups, from the corporates and we have the midsize market and also the startups. Andwhich is I think core thing: So have the data from the old economy from a hardware driven industry, automotive sector, manufacturing sector, med-tech and also the defense sector, if you look there. So I think we have everything in place here. So welcome everybody to come here to Germany.

 

Presenter:

If we look at companies that develop AI solutions: Where do you see the biggest unmet needs among German companies right now?

 

Daniela Rittmeier, Capgemini: 

The need at the moment is, as I just said before, to unite the things we already have. Based on my experience, I think you will never ever develop a successful, sustainable and sovereign AI system on your own. So it is crucial to work with partners. And we from Capgemini are the technology integration and scaling partners. We have the accelerators, we have assets, but we are also working with all the tech partners. If you look to Germany, we have here in Munich also Google, we have Microsoft, we have AWS. No matter what the clients need, we are going with that kind of technology partners. We also have chip developers here in Germany. NVIDIA is right next to our office, Infineon is here. OpenAI opened its office in Munich, because they say Germany is after the U.S. Market, the second market, which has the highest adoption and usage of Chat GPT.

If you love the sea, if you love ships and if you love aviation, I think Hamburg is a place to be where also the aviation industry has a core focus. If you look to the Land, to Baden-Württemberg, you see Heilbronn in Tübingen with the EPI and the Cyber Valley, which is really, really also an amazing place to be and where a lot of investments will be taken, also in the education and the mid-market of Germany. In Berlin, a lot is going on around the government, the GovTech campus, and also what Melantics is doing in Berlin. Or if you look to Nuremberg and Erlangen, a lot of is going on around MedTech, Med Valley, which is really, really impressive, and there's a lot boost there. And also, Frankfurt, of course, is known for financial sector and insurance. you see around Germany that 10 hubs are increasing with a specific focus and industries in AI. Based on the discussions we see around the world and also the U.S. Germany is the place to be and the place to grow.

 

Presenter:

Okay, Daniela, let’s switch gears and talk briefly about the European Union’s AI Act. How does it affect international companies interested in the German or European market?

 

Daniela Rittmeier, Capgemini:

Everybody says: Oh, I'm special because my industry is so regulated. And now the EU AI act is there. And this is, let me say it that way, sometimes the excuse for deceleration, not acceleration, deceleration. I would say no industry around the world is under-regulated, especially in the area of data and AI. There were good reasons to start that EU AI Act from a European perspective and of course, this is a kind of journey. I would like that we are shifting that complaining into a solution-orientated approach. We can see that also from a German and European perspective as a unique selling point, and a competitive advantage that we can build that kind of systems trustfully and inclusive.

 

 

Presenter:

As you said, this is an incredible fast-moving and highly disruptive market. Still, get out your crystal ball. If we fast-forward five years, what will the AI landscape look like?

 

Daniela Rittmeier, Capgemini:

Five years, oh my God. I'm not able to predict the next month or the next year because every day, I'm also sometimes surprised, a new development is coming up. So we really see an exponential development there. So it's really hard for me to predict what will be in five years, but perhaps I can change it and shift it into the wish, the wish that we get more active to use the chance to design our future, because AI is not developing on its own, yes. We humans develop the technology. I would love to see that we activate our critical thinking, we bring in our expertise here in Germany and in Europe, and we are the architects of our future.

 

 

Presenter:
Thank you, Daniela, for your assessment. One of the agentic AI architects is the software company Intercom. Its platform helps businesses interact with customers, manage support requests, and automate conversations across digital channels. Co-founder and Chief Strategy Officer Des Traynor will tell us more shortly. But first, let’s take a look at some of the latest German business news.

 

NEWS

Fusion Funding
The southern German regional state of Bavaria has said it’s willing to invest 400 million EUR in a project that aims to build the world’s first nuclear fusion power-plant. It’s called Alpha and it’s the brainchild of Proxima Fusion, a spin-out of the Max Planck Institute for Plasma Physics. Proxima describes itself as “Europe's fastest-growing fusion start-up.” It hopes to develop a so-called demonstrator by next year and an operational facility by 2033.

 

Clean Sweep

Staying in Bavaria, three of its facilities to support start-ups have taken the top three places in the Financial Times newspaper’s list of Europe’s top hubs. Leading the pack was Munich’s UnternehmerTUM. The name is a portmanteau of the German word for entrepreneur and the initials of the Technical University of Munich. Taking second place was Munich’s Start2Group, and third went to BayStartUP from Nuremberg.

 

Hope for the Hearing Impaired

Dresden-based start-up Seamless Therapeutics has concluded a major strategic agreement with healthcare giant Eli Lilly and Company. Seamless specializes in high-precision DNA recombinases – genetic recombination enzymes – to correct flaws that cause hearing loss. The deal sees Lilly providing the fledgling firm with access to up to 1.12 billion USD for research and development.

 

Investment Increase

International companies put 96 billion EUR into their German operations, says a new study by the think-tank German Economic Institute. That figure was only 43 billion EUR in 2024. The Institute attributed the rise to Germany’s fundamental economic, political and legal stability. “In an increasingly uncertain world, predictability counts more than it used to,” said the Institute’s trade expert Jürgen Matthes.

 

And finally Big Deals

2025 saw venture capital investments in German start-ups take a big leap. And that momentum shows no signs of slowing down in 2026. There were five nine-figure funding rounds in the first two months of the new year. Topping the list was Berlin company Parloa, which raked in 350 million USD and tripled its value in only eight months. The company specializes in – you guessed it – agentic AI.

 

Presenter:

So on to Intercom. The US-Irish company has been around since 2011, but has repositioned itself as an AI-first business in the last few years. One of the people behind that transformation is Des Traynor, co-founder and Chief Strategy Officer, who joins us now. One of Intercom’s latest products is Fin, an AI-powered customer support agent. Des, what is Fin? What problem is it designed to solve?

 

Des Traynor, Intercom:
So, most businesses offer something called customer support. This way, the customers have issues, they come to you with questions, they're confused or there's an issue with something they bought, and they usually contact support. And typically a lot of that support work can be repetitive and undifferentiated. What Fin does, it owns the entire queue of customer service and handles the vast majority of the customer service questions for your customers, replies to them instantly and accurately in every language, in every time zone. And it can do that because of the AI architecture that it's built on, which uses the sort of common modern technology of large language models.

 

Presenter:
We’ve all been there: stuck on hold for ages, only to get an answer that’s useless… Many companies experiment with tools like ChatGPT or other large language models. What makes a specialized AI agent like Fin different?

 

Des Traynor, Intercom:

The risk if you just go with something that's like a generic chat GPT solution is it's just going to answer based on what I learned from the internet. So it will, like recommend your competitors, it will give out of date answers, it will do things that are not consistent with your sort of company. It doesn't have access to any of your internal tools, it can't repeat your order, etc. So typically people don't want to use an off-the-shelf large language model like say Claude or ChatGPT because it's actually not equipped to give great answers to your customers that are consistent with your company policy. So typically what people do is they want to apply an AI agent for all of their support in all of the channels that which customers talk to them. And to do so, they are looking for basically a very powerful modern AI agent for customer service.

So typically you train Finn. You give all the information that you think is important for it to base its answers on. And in that world, if it finds, what's the word, a collision or a conflict between something it thinks and something that's in your company documentation, it will believe your company documentation is the authoritative source here. And that's really, really important. So you really want to control the kind of the core material the Fin trains off. 

 

 

Presenter: 

Many companies look to AI mainly for efficiency. In customer service, it’s all about satisfaction – and I guess that’s exactly where Fin comes in…

 

Des Traynor, Intercom:

Everyone's getting instant replies and so much of customer satisfaction in support is entirely driven by: Did you get an answer quickly or not. People often underestimate how much speed actually matters. Accuracy is a huge thing. Fin will not make mistakes. Fin follows exactly the right answer and is always available. A lot of our customers see 70, 80, 90% total resolutions by Fin. So what happens is, the team are only stuck with what's left, which means they've got a smaller pool of work to do. And it means they can put a lot more attention into this. So you kind of get both sides. People who get instant accurate answers are really happy. People who got a dedicated team who have a lot of time for them are really happy. So there is a kind of a proper win-win here. 

 

Presenter:
Are there any other areas and use cases where this technology could be applied? 

 

Des Traynor, Intercom:
The biggest area of expansion for us throughout this coming year is to move from beyond just customer support into actually being a full customer agent and handling all conversations at every point in the customer lifecycle. So Fin will be able to handle sales and customer success and refunds and renewals and product onboarding and everything in between. Anyone who has a large volume of customer support is always looking for ways to handle it better. So that could be what we call a B2C, like business to consumer. It can be e-commerce, it can be marketplace type products, online gaming or gambling as well. Like there are a lot of different verticals that deal with a lot customer support and are trying to make it make sense from a from a sort of cost center perspective. It's, you know, you can't offer perfect service to everyone with humans, but you can do it with AI. 

 

 

Presenter:

Speaking of expansion, you opened an office in Berlin in January. What made Germany an attractive location?

 

Des Traynor, Intercom:

Germany is an interesting market because I think it's one of the largest European markets straight away. We have a lot of great customers in Germany already. Maybe it's between Germany, Paris and London for who is the biggest internet city out there, but Germany is pretty far up there. And I think the advantage we saw in this… A lot of high quality AI talent and not yet a single magnet that's pulling all the talent into one place. So like it felt to us like there was a big opportunity to hire in Germany in a type of a vacuum where like no one else is building production-ready, massive deployment AI software in the city yet. So we had a little office opening a couple of weeks ago, we had probably 700 people show up, it was crazy. But I think a lot of that is because there's a hunger in Berlin for meaningful, high-scale AI product work and that's what we're trying to do there. 

 

Presenter:

Whatadvice would you give other companies from the same business area who are planning to expand into Germany? 

 

 

Des Traynor, Intercom:

It's been a wonderful experience for us so far. I think like basically picking an office location is important. Holding a welcome event, like as in somewhere that announces your arrival in the city seems to have worked really well. We have already had a lot of applicants from our launch party alone. I do think we got a lot of, what's the word, credibility for having our event and for giving real, honest, sometimes self-critical presentations. I think in general, the culture of Germans, they tend to value honesty and integrity. And they're a little bit allergic to like hype speak as in "everything's perfect all the time“. I think people see through that nonsense a lot. I often say, Integrity means if what you think and what you say and what do are all consistent with each other, that's integrity and I think that's a good posture to have as you enter Germany.

 

Presenter:
You earlier mentioned the huge interest from AI talent in Berlin. Looking at the other side, the customers – do you see differences in how German companies adopt AI compared to other countries?

 

Des Traynor, Intercom:

I find in general in Europe, country by country, you bump into slightly different rules or slightly different interpretations of vague EU rules regarding data governance, data residency, etc. And Germany is no different than anywhere else in that regard, but it's something we've dealt with a lot, and as a result we have a lot of customers. We already host data in the EU, Fin can work entirely in the EU. The internet is a global market. I think a lot of people realize if you're trying to build anything, you want to use the best products available and you'll make pragmatic, realistic trade-offs about what you do. So when people sit down to buy customer support software, maybe they really want it to be EU based. If so, Fin is a great option. Maybe they want to make sure that it's GDPR compliant or follows the ePrivacy Directive or whatever. We've had to do all that all along. I think in general, maybe the older businesses are a bit more risk averse, but I think software companies, you have to be risk tolerant. You can't be a safe software company in this era of AI, you will just die, you know, so you have to kind of adapt and react quickly.

 

Presenter:
Europe has strict data protection and privacy rules. You mentioned the General Data Protection Regulation, GDPR, and the ePrivacy Directive, which govern how personal data can be used and how cookies, email marketing, and other communications are handled. How does Intercom address these regulatory requirements in its applications?

 

 

Des Traynor, Intercom:

One at a time. The problem is they're often written in an extremely vague way. We follow everything that we can understand, so we are fully GDPR compliant. We have every type of qualification, ISO, SOC2, you name it, every type of standard there is we follow. I do think within Europe, I worry that we might actually do a lot of harm to our indigenous AI industry with excessive regulation. So if we really want Europe to have a credible AI industry. I think we need to be careful about not burdening the younger companies. Like Intercom's okay, we're 1,100 people, we have lawyers, we know how to navigate all this. I'm more worried, like, if you and your friends start a startup and there's like six of you and you can't afford to read every single 1,000 page EU document. How do you stay compliant?

 

 

Presenter:
Sounds like these regulations can be both a blessing and a curse. Earlier, Daniela Rittmeier from Capgemini pointed out that they can be a selling point, ensuring trustworthy AI applications. But, as you said, they can also slow down adoption…

 

 

Des Traynor, Intercom:

One area I wish we were just better at in Europe was reflecting on what worked and what didn't. Like, we're all familiar with the cookie banners. Does anyone think it did anything useful? Like, every day, every single one of 250 million Europeans click accept about 10 times a day on websites that they browse. I don't feel any more protected by it, but I think that's frustrated the hell out of me. And so I'd be okay with Europe throwing out a lot more regulations if I was told that once a year we review them and work out if it did anything good or not. I hope that in this post-Mario Draghi report, sort of evaluation of the EU posture as it relates to growth and GDP growth, I hope that they realize this. And even, I believe the Chancellor of Germany recently said similar as well, that the administration is becoming too heavyweight. And I just hope that, in this next phase, we start to get a bit more reflective about the areas that we're just slowing ourselves down with like no additional benefit.

 

 

Presenter:

Despite that, are you generally optimistic about the future of AI in Europe and Germany?

 

 

Des Traynor, Intercom:

Yes. I mean, look, the talent is there. The opportunity is there. 

There's a chunk of good AI companies coming out of Europe. I just worry that as they emerge, the EU's first instinct will be to regulate as opposed to support or celebrate. But no, I'm optimistic. All the raw ingredients are there. The only thing we need to do is not kind of strangle them when they're young, you know.

 

 

Presenter:
That’s a concern echoed by Germany’s Minister for Digital Transformation of Government Modernization, Karsten Wildberger, who has called for regulations that enable innovation rather than slow it down. At last year’s World AI Summit in Berlin he spoke about “opening up the gates and allowing our companies to innovate much, much faster.“

 

And with that we’re nearing the end of this episode of Into Germany. Agentic AI may still be emerging, but it’s already clear that it will reshape how businesses operate. Many thanks to Daniela Rittmeier from Capgemini and Des Traynor from Intercom for joining us today. 

 

Before we finally say goodbye, let’s take our usual look at How Germany Works.

 

 

HGW

This legislative period is the first time Germany has had a government ministry directed explicitly at digitalization – before that it was part of the portfolio of the Transportation Ministry. The new Ministry for Digital Transformation of Government Modernization is headed by Karsten Wildberger, a trained physicist with a background in business. The ministry name speaks volumes about its remit. The German government sees digitalization, among other things, as a way of cutting red tape and making Germany more efficient. The ministry has just launched 18 pilot projects all over the country to use Agentic AI to improve government administration. 17 municipalities and ten start-ups are taking part in the project. And THAT’S how Germany Works.

 

[Audio: Ping, Zoom sound]

 

Agentic AI:

Your big day is almost at hand! Everything’s ready for your business trip. The taxi to the airport is coming early, so make sure you get a night’s good sleep.

 

Presenter:
Always good advice! If you too are working on intelligent travel assistants, or any other AI innovation, feel free to reach out to Germany Trade and Invest. We can advise you and help you discover whether Germany could be the place for you… all at no cost because we’re a government agency. Let’s talk at gtai.com. We’re also keen on your opinions, suggestions and questions. Please leave a comment in your favorite podcast app or drop us a line. You’ll find all the details in our show notes. 

So, thanks for listening, auf Wiederhören, stay smart and connected – and remember: GERMANY MEANS BUSINESS.