In short
ServiceNow’s President EMEA, Cathy Mosez, discusses how enterprise IT must become resilient and governed as agentic/multimodal AI accelerates. She argues technology matters only when it drives impact for people, and that CIOs are now board-level gatekeepers for AI governance, risk, and security. She also covers Western Europe’s lagging AI maturity (index drop 44 to 34/100) versus Middle East “build-from-scratch” adoption, and why organizations struggle to move from AI pilots to augmentation at scale (only ~6% reaching scale).
Guest backgrounds
Cathy Mosez is President, Europe, Middle East and Africa at ServiceNow. Previously held senior roles at Microsoft, SAP, Dell, and EMC (post-Dell/EMC era). She has led large, diverse, regulated and multi-country businesses across EMEA.
Key claims
AI must be embedded into workflows with the right data and platform; governance prevents “shadow AI” and uncontrolled agent decisions. ServiceNow is shifting toward consumption/agentic-token pricing. Agents will change job profiles more than eliminate roles.
Notable examples
A tobacco-industry customer deploying 2,000+ agents and needing orchestration/compliance; governance scenarios like preventing erroneous high-value bank credits; ServiceNow’s origin in fixing slow support-ticket resolution (and later automating multi-system order workflows).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Evolution of ServiceNow
0:45 to 1:54
Discussion on the origins and growth of ServiceNow and its impact on enterprise technology.
“My guest today is Kathy Mosez, President of Europe, Middle East and Africa at ServiceNow.”
Cathy's Leadership Philosophy
1:54 to 4:25
Cathy Mauzaize shares her views on effective leadership and the importance of empathy.
“What does good leadership mean to you, Cathy?”
Career Journey and Technology Impact
4:25 to 6:14
Cathy discusses her career in technology and the impact of diverse experiences on her leadership.
“But, you know, technology only matters when it translates into impact for people.”
Impact of AI on Enterprise
6:14 to 7:39
Exploration of how AI is rapidly changing the enterprise landscape and the challenges it presents.
“So we had the COVID, who has a big peak in terms of using and embracing technology because of the unique nature of what COVID has done to, you know, society, companies, civil ecosystem, everything.”
Reflections on Microsoft Experience
7:39 to 9:16
Cathy reflects on her time at Microsoft and the cultural shift under Satya Nadella's leadership.
“It's like picking your favorite baby or something, isn't it?”
Transition to ServiceNow
9:16 to 12:30
Cathy describes her transition from Microsoft to ServiceNow and the opportunities it presented.
“Like for me, that has been a profound learning, profound learning and looking at Satya, the way it changed the company.”
Cathy's Journey from Microsoft to ServiceNow
14:00 to 16:12
Learn about Cathy's transition from a large tech company to leading ServiceNow in EMEA.
“I was running a very large business at Microsoft.”
Understanding Regional Differences in EMEA
16:16 to 19:06
Explore the distinctions between enterprise IT in Europe and the Middle East/Africa.
“Can I ask you, in terms of the difference between Europe and the rest of EMEA, if you like, in terms of the other parts, the other regions, what's been the biggest shift or the biggest thing you've been surprised by?”
AI Maturity Index Insights
19:08 to 20:26
Discover surprising statistics about AI maturity in Western Europe.
“Western Europe is more challenged in changing and adopting.”
Current Technology Priorities for Enterprises
20:28 to 24:31
Identify the top technology priorities for enterprises in today's market.
“But it's an interesting point as well, what you said about these countries who don't, they're not sort of held back by legacy tech.”
Show all 23 chapters
Governance and AI Challenges
25:48 to 28:00
Examine the importance of data and governance in successful AI implementation.
“And it's, you know, we need to come back around to what's realistic.”
The Evolution of Automation in Enterprises
28:00 to 29:00
Learn how automation transforms enterprise workflows and impacts hiring.
“There was a lady that needed to get into, like, I think 10 systems to get a customer order form ready.”
Navigating AI's Impact on Employment
29:00 to 31:00
Explore how AI is changing the skills needed in the workforce without reducing hiring.
“I guess for some functions, there will be impact.”
AI in Content Creation and Education
31:00 to 32:50
Discuss the implications of AI in education and its effects on learning outcomes.
“I personally don't believe that we're going to be having a company that will be run entirely on AI agents.”
Embracing AI for Positive Impact
32:50 to 35:00
Understand the importance of using AI responsibly for societal benefits.
“It's like, you know, we had the digital revolution, we had the mobile revolution, we had the cloud revolution.”
The Need for Inclusive AI Adoption
35:00 to 36:30
Learn about the risks of inequality in AI adoption and the need for broader access.
“But that's why, you know, in a human, my view, personal view, that we cannot stop this.”
Changing Commercial Models in SaaS
36:30 to 38:40
Examine how AI influences SaaS pricing models and customer engagement strategies.
“But even in society, it's going to be a huge transformation.”
The Future of SaaS Amidst AI Disruption
38:40 to 42:00
Discuss the challenges SaaS companies face with bespoke software development and AI.
“a direction if it agentic token consumption, right?”
Navigating SaaS Disruption
42:00 to 45:04
Explore the future of SaaS and its necessary evolution amidst industry changes.
“Well, I think some will die, to be fair, and some will win.”
The Importance of Governance in Tech
45:04 to 48:38
Learn about the critical role of governance in software asset management and decision-making.
“Yeah, I mean, one thing the service now have always been good at is allowing people to build applications within the platform so they don't have to rely on IT to build them something.”
Advice for Young Tech Leaders
48:38 to 51:28
Cathy shares personal insights and advice for young professionals starting their careers.
“So you need to make sure that you track access, you track decision making, you track workflow, and you report.”
The Growth Mindset Book Recommendation
51:28 to 52:38
Discover the importance of a growth mindset in leadership through Carol Dweck's work.
“So for our listeners then, so let's finish on this one.”
Connecting with Cathy Mauzaize
52:38 to 53:24
Find out how to follow and connect with Cathy Mauzaize on social media.
“So where can people sort of connect with you, Cathy, and keep an eye on what you guys are doing?”
Transcript
Automatic transcript. May contain errors.0:00If you haven't built a resilient organization, you're screwed. You need to be able to be resilient at all times. And resilient doesn't mean on-prem. Resilient means having the right systems that are all interconnected.
0:18Back in 2004, a frustrated technologist set out to fix something many people in large organizations will recognize. The painfully slow and inefficient process of getting a support ticket resolved. That frustration ultimately led to the creation of ServiceNow. Two decades later, ServiceNow has become one of the most influential enterprise technology companies in the world. What began as a tool to improve IT support has evolved into a global platform that sits at the epicenter of enterprise workflows across IT, operations and beyond. My guest today is Kathy Mosez, President of Europe, Middle East and Africa at ServiceNow.
1:02Having previously held senior leadership roles of the likes of Microsoft, SAP and Dell, we discussed how those experiences have shaped her leadership approach and her perspective on how enterprise IT is likely to evolve in the coming years. We explore the rise of agentic AI, the growing challenge of shadow IT inside organizations, and the governance questions CIOs are beginning to face as powerful AI tools spread across enterprise estates faster than many can control. We also touch upon how content creation may be attributed and regulated in a generative AI world, along with how CIOs and IT leaders can maintain visibility and control across increasingly complex IT estates.
1:48This is a really refreshing and fascinating conversation about the cutting edge of what's really going on within enterprise IT right now. You're in for a real treat. This is Cathy Mosez.
2:05so kathy thank you so much for coming on the tech leaders podcast and i'm so happy to be talking to you obviously this has been a long time in the making and i know you're a very busy person so i really appreciate you taking the time to talk to us well great to be here gareth and lovely to spend time with you and have this conversation so thank you for inviting me absolutely so let's start off with a big bang. What does good leadership mean to you, Cathy? Well, to me personally, what I would look at, you know, great leadership and what I'm trying to do myself is a mix of empathy and learning mindset, learning everything, learning from various parts of the organization.
2:43Empathy is around customer, about people, around ecosystem, around what's happening in the world, just understanding the big picture and just, you know, making sure that when you live with true empathy and really truly caring about what you do and the impact on people, combined with a huge willingness to learn. And I guess today, in today's world, if you don't learn, if you're not open to change and to grow yourself and to absorb new things and to learn from every level in the organization, you're done, right? So that's truly what great leadership means to me. And of course, you know, having all the right post-Europe leadership and ethics and hardworking and respecting others and, you know, humility, all those things, right?
3:31So that's what I would describe as great leadership and that's what I'm trying to do myself on a daily basis, not saying it's easy every day, but that's, for me, is really the characteristics of great leadership. Great answer. I think what stood out for me there was empathy. I think empathy is so important as an ingredient in good leadership, isn't it? And basically get it in the trenches is with your, you know, your subordinates, your peers, and really understanding the purpose of their role and supporting them to achieve their goals, I suppose. That's a great answer. Thank you so much for sharing that, Cathy.
4:02So could you please give us a little bit of an introduction into maybe starting with what initially drew you into the sort of technology industry and how you ended up at ServiceNow? So look, I've been in pretty much technology all my career in various types of companies and various roles. Actually, interesting to know that I started finance. Can you believe that? Before I moved to sales, a lot of people actually do that. But, you know, technology only matters when it translates into impact for people. So that's not about just technology for the sake of technology. I've always been super interested in what technology can bring, the impact on life, on organization, on research.
4:43So it's not technology for the sake of technology, is the pace of the change and also the impact. And, you know, being French and French speaker and working across EMEA, you know, gives a particular also lens. The region is not one. It's like 27 countries, multiple language, multiple culture, multiple readiness, multiple regulatory environment. But that also brings, you know, and, you know, coming back to what I said, this great leadership, these diverse links, right? So, you know, I've always been very interested into diversity. all types of diversity. So that very natural evolution takes for the impact it has on people, but also multiple country and ability to just have an impact, various impact across all those countries.
5:28So, you know, that has been a little bit my career. So, you know, various type of organizations started very, very basically in finance, I told you, then HP, then Dell, then EMC with the acquisition, then moved to application with SAP, then to cloud at Microsoft. And then very naturally, then after Microsoft, I was really interested in, you know, getting into a fast-growing engine in tech and ServiceNow is a fast-growing engine. And I saw the power of the platform and I understood the potential it would have on how things could be done, right? So that's why I've joined ServiceNow like five years ago.
6:06And the pace is not slowing down. The pace... Speeding up. It is even worse than, you know, five years ago, I would say, right? So we had the COVID, who has a big peak in terms of using and embracing technology because of the unique nature of what COVID has done to, you know, society, companies, civil ecosystem, everything. But now with AI, it's like, it's like twice, 10 times faster. It's incredible. The pace of change is just incredible. and you know we are seeing billions of AI interaction today but like three years ago it was still very much of a concept, authentic. If you see the acceleration pass it's pretty phenomenal.
6:47So what drew me to this industry and what keeps me here is exactly the complexity and the complexity of the landscape across YAMIA, the complexity of the maturity, the pace that is imposed by technology itself and it demands continuous learning and making sure that you create a positive impact. I'm a big believer in tech for good, in tech for positive impact on people. And so that's the length I'm using in my daily interaction. But also, that's why I'm so excited with the future ahead of us. Well, we'll come on to sort of AI and stuff shortly. But just in terms of your background, you've obviously had leadership roles in some of the world's top tech companies.
7:26You know, you mentioned Dell and a couple of others there. But which one, SAP being another one, and Microsoft, of course. Which one of those companies had the most profound effect in terms of impacting how you lead and operate at ServiceNow, do you think? Tricky question. It's like picking your favorite baby or something, isn't it? You can't say that. Come on, Garrett. You're going to drive me into this. Look, all of those, I will say, you know, a career is made of steps. It's made of people you meet. It's made of people who develop you. It's made of opportunities. It's made of a fallback. It's made of a lot of things.
8:03So I would not be here today in this role if I wouldn't have all this experience, one after the other one. Some were tougher than others, but that led me to the next chapter, right? So it's difficult to tell you, hey, what is the best one and what is the worst one? All of them combined made who I am today and made my career evolution for good and bad reasons, but they all are profoundly important in my trajectory. What I can say is the reason why I decided to move from one to the other one, right? So for instance, when I was at Dell, merging with EMC, I saw the world moving to cloud. I saw the world moving to application and a different layer.
8:46So I said the time for me was to embrace the other side of the technology, not the infra, but the application and the cloud space. That's why I chose SAP. SAP has a lot of history and of complexity. I learned what is a deep, complex company transformation at SAP. Because it is itself a huge and an old mother, an old company that needs to change and embrace new ways of doing on-prem to cloud. Then going to Microsoft, Satya was just on board since two or three years from Balmer time, completely changing the culture of the company from collaboration, embracing the cloud, and again, changing completely the models and the culture.
9:30Like for me, that has been a profound learning, profound learning and looking at Satya, the way it changed the company. And then getting into a rocket ship like ServiceNow, fast grows, making the right decision, taking the right bets, looking at technology evolving very quickly. So all of those are really, really, really important in my career. There's no one that I would say is more important than the other one. And of course, you know, now I'm servicenar. I'm so proud of being here and being able to have this impact across EMEA and having the ability to mold, to mold the strategy, to mold, you know, our decision to serve the business and to serve my industry.
10:12Because I'm European. I want to make sure, you know, European customers shine. I want to make sure they are equipped with the latest and the brightest. I got to ask you, though, about your time at Microsoft, because you were there at a very, very pivotal time for the history of the organization. It was obviously COVID was happening like a year after you started or two years after you started. Plus there was a big leadership change when you were there. Obviously Satya Nadella, who you referred to earlier, came on board. Can you tell us a little bit about Microsoft at that time and what did Satya change?
10:39What Satya did, so Satya has a very unique style, leadership style. A lot of humility, long-term thinking is a visionary. He is a visionary. So he's always thinking long-term. He has a huge curiosity and his empathy and curiosity is also coming from his personal journey, right? So his son, you know, has been handicapped. He loves his son. So Adada is forging him as a human, a human being before even being a great leader, right? So, but he's always very calm, very long-term thinking. So what Satya did when I was over there is literally change the culture of the company. Microsoft as a company that was, had been created under Balmer, which still was a very strong execution machine.
11:22So there's goodness in all the models again. But the Microsoft and Balmers were the Microsoft of execution and internal competition. The Microsoft of Satya is a technology company, is a true tech company. And it's, you know, I think he had some quote about the fact that, you know, we cannot live on the past when in technology, you can only focus on the future. And I think he made that very, very true towards this change of strategy. and it was around collaboration between the execs. So making sure that the culture is actually around coming together and moving from we know it all to we learn it all.
12:00So it's a very different mindset. When you put execs in competition or people and teams in competition, they need to show that they know everything. And actually that's killing innovation, that's killing collaboration, that's killing doing the right thing for the customer. That's just putting internal competition and the competition has to be with the external world in service of customer. And he did this change brilliantly. Plus, from a technology perspective, he was very visionary. He still is. So I think that's a great, that has been a great learning for me. Great learning, looking at the way the culture was changed, the way the cascade, the way the alignment between all the leaders to serve one big goal, the empowerment, empowerment, empowerment, empowerment, that has been really critical for me in terms of my learning.
12:55Yeah, no, that's fantastic. That's really insightful. And I thank you for that. So early 2021, then, an opportunity comes around to because you were obviously looking after the French region for Microsoft as a commercial general manager, a much bigger territory for a fast up and coming CRM company, I think you would be regarded as at the time service now. Tell us how did that come about? And why did you go there? Why did you take the jump into that role? Yeah, that's a great question. And again, it's a question of combination of the right moment, the right people, and the right strategy. It's, you know, there's moment in life and you need to just be bold, right?
13:36I do believe in being bold. So look, someone called Paul, Paul Smith called me at that time, right? You know, we all know who is Paul now, a chief revenue officer at Anthropic, one of the most fascinating objects on the market at the moment. Paul had been joining ServiceNow since a couple of months. and was looking for somebody to run France. To be fair, when he called me, I just didn't even pick up the phone. I was running a very large business at Microsoft. Great company I was enjoying. We are growing. Large deal. There is strategic engagements at the level. You know, Microsoft brand is strong enough to open a lot of doors.
14:13But he persisted because he's a sales guy, so he didn't drop the ball. And we started to have conversations about why he joined Servista and what the potential he saw. And I started to understand. I started to understand the capabilities of the platform, the strengths of the platform, what actually we could be doing on the platform that was not even today being thought about, right? The real potential that this potential would have on the market. And at the time being, it was very much IT, IT-centric. And I remember very well, I'm not super interested in just IT and ticketing, that's not my stuff.
14:47I'm more interested in business outcome. How can we change the way things are done? How can we be strategic? for customer. And that was just in front of us. And the promise was, hey, join us now. It's small, but it's going to be big. It's going to be a big company and you're going to have the ability to just mold it the way you want. And you're going to be like at the beginning when before the business is even taking off, right? So that has been a component of all the things. Again, multiple country. I joined to run the South, which was France, Spain, Italy, Portugal, Israel, and all the Middle East.
15:21And I must say that that got me super excited, right? With the ability to just build it. It's a massive region, isn't it? It's a big area. It was very, very sexy, right? So, you know, so that's the reason why I made the change. It was not an easy one because Microsoft is a great company, phenomenal company and still is from technology, from leadership, from culture, from everything. That was a bit of an unknown. But, you know, Garrett, maybe you have a glimpse of who I am. I also follow instinct. And my instinct told me, this is going to be a great story. Jump on the boat. There's a little bit of risk, very limited.
16:01Because I still have a great brand on the market. And so just jump on the boat. And I took the challenge to jump on the boat. And here I am, after five years, now running all EMEA, which is great. But it's been a journey, and I enjoy every minute of the journey. Sure. Can I ask you, in terms of the difference between Europe and the rest of EMEA, if you like, in terms of the other parts, the other regions, what's been the biggest shift or the biggest thing you've been surprised by? You know what I mean? From an enterprise IT standpoint. Because I guess the scale... Compared to the rest of the world, you mean?
16:36Yeah, but compared to the rest of your region, so Middle East and Africa. What challenge is it? You've gone from a European market to European part, and you've got the Middle East and Africa included now. So from an enterprise technology standpoint, where I'm going with this, Cathy, is I suppose there's a lot of digital transformation still very much underway in those regions. They're developing countries in many respects. There's a lot of growth potential, am I right? So can you talk us through that? Yeah, so the Middle East is pretty fascinating to look at how the Middle East versus, I would say there's Western Europe and the Middle East, right?
17:12And you look at Western Europe, it's also that one. You have Germany, UK, and France, which are the biggest engine. And then you have like other countries, which are much smaller, some very innovative, some a bit lagging behind. That's the beauty and the difficulty of managing EME, by the way, right? So it's all very diverse, literally from a tech maturity perspective. And we're going to come to that when it comes to AI a little bit later. But if you compare Western Europe, very mature business, a lot of legacy, pressure from the top line, pressure from the bottom line, pressure from the investor, pressure from the employee.
17:48They have to transform, but they have a lot of legacy and the legacy is slowing them down. And then you go to Middle East. And within Middle East, you need to look at Saudi Arabia. You need to look at Qatar. You need to look at Kuwait. and to some extent to Abu Dhabi and Dubai. But I would say, you know, the three first are moving even faster because they don't have legacy. The country is being built up and they want to take a leadership position from a tech perspective. They want to be on the most innovative. They want to be AI driven first. They want to lead. So it's a very different mindset because they don't have all the legacy.
18:28They are just building up and accelerating their countries. When you look at Saudi Arabia and the 2030 Kingdom vision is just building a country, building completely an economy, building tourism, building turn venture with some of the Western Europe or American companies. So it's just building up. So of course it's easier. You build up. It's easier than the transform. Transform is hard. Build up easy, goes faster. But yeah, for us at Servica, it's been a huge growth engine. a huge cross-engine on the most modern technology. They go straight to white glove. Western Europe is more challenged in changing and adopting.
19:14I understand, yeah. It's pretty fascinating when you look at that, you know, coming back to AI. We run AI maturity index across our region, ServiceNow, and it's pretty phenomenal that despite the surge in AI and the intention, which is real and the momentum, the AI maturity index has dropped in Western Europe. Has dropped. Really? Yes, from 44 to 34 out of 100. And the reason is, yeah, there's a lot of organizations that are launching AI use cases, but only 6%. So roughly half of the organizations are launching AI use cases, but only 6 % have reached augmentation at scale. And so there's a lot of, we want to go there.
19:58We need to go there. We need, and that has been confirmed by IDC, that there's going to be like more than 144 billion by 2028 on project AI pre-expanding. But we struggle to go from intention to realizing value at scale. And that's why the AI maturity index has dropped. And that's why it's so important to discuss the governance around AI and why they are struggling. And what can we do to help them as a consequence. Wow, okay. That's a good clip there. Yeah, yeah, yeah. That's really interesting. I did not know that. But it's an interesting point as well, what you said about these countries who don't, they're not sort of held back by legacy tech.
20:43And they didn't go through the initial phase of digital transformation. They've started from the sort of advantageous position of being digital first from day one. Exactly. Because I know a lot of enterprise organizations who've been around for a long time, they still use legacy systems that are built on technologies like IBM Mainframe and COBOL and things like that. And CTO after CTO is terrified to touch it because if it goes wrong, it'll bring the company down. But there's so much reliance on this tech that was built by an engineer in the 70s or something. It must be the same in France. Oh, it's everywhere.
21:22It's everywhere, and especially in the regulated industries. Regulatory industries, you know, mainframe in the bank. Banking, insurance. And they know it's horrible. They know it's outdated. They all know that they're just terrified, to your point. Yeah, absolutely. Because if the system is dropping down, then... Well, that's the end of their career, isn't it? Who's going to be fired? Then all the shareholders will be furious and they'll be fired. They'll never recover from it. So it's a real bad situation. But anyway, that's really insightful, Cathy. So look, I've got to ask you then, just to move this along, from your vantage point then of working with organizations across EMEA, what are the biggest technology priorities for enterprises right now?
22:04I think I know what you're going to say with one or two of them. But what's being spoken about in boardrooms at the moment from a technology standpoint, of course? AI is everywhere, as you can expect. But I would say it's AI. What is moving at the boardroom is, you know, and the CEO are pushing CIOs. Well, that's also something that we see popping up and different from the past. CEOs are pushing CIOs to have an AI and platform strategy. I see, again, popping up very strongly, governance, risk, and security, especially in Europe, especially in the regulated industry, but especially in Europe. And then, of course, you are in a global economy.
22:42You need to be more productive. You need to be more innovative. You need to be faster to market. You need to be able to react much faster to everything. Look at what's happening right now in the Middle East. If you haven't built a resilient organization, you're screwed. You need to be able to be resilient at all times. And resilient doesn't mean on-prem. Resilient means having the right systems that are all interconnected, that you can drive and make decision and correction super quickly to shift your business. So what we hear at the boardroom at the moment is the urgency for change, but with the right governance and risk and security.
23:22And of course, you know, a lot of pressure on OPEX, a lot of pressure on margin, making sure we are leaner, we go faster, and we are more agile in a world that is like incredibly complex today, incredibly competitive today, and incredibly global as well, right? So I, and I don't see that's going to be anytime soon slowing down. I think that's going to be just accelerating, accelerating, accelerating. But what is very interesting is that, you know, the CIOs that used to be like, you know, kind of very hidden people somewhere are now getting to the board, a lot more visibility. And we see them being the gatekeeper of the AI execution and governance.
24:05So we've always, ServiceNow, been very, very connected to CIOs, as you know, from the past. And that has been a high story. So we have a great segue into helping them, you know, build this from boardroom into execution. So the challenge is to build the right system fast enough with the right innovation, but they need to be resilient enough to manage the risk and the short term. So that's a challenge that is happening everywhere at the moment. How do you combine fast innovation and absolutely top-down imperative to move fast with building a governance and platform-level strategy that will make you resilient and safe for the future?
24:46That's what we help them do as much as we can with our technology because we are built for that moment. But for sure, there's a lot of pressure on our customer at the moment. This episode was brought to you by BDigital. BDigital support leadership teams to optimize cost and get more out of technology investments. BDigital and the team have unrivaled expertise with technology license management and data remediation and are therefore perfectly positioned to help prepare organizations for AI technology capability. And on the last point, BDigital have developed a cutting-edge AI readiness assessment, which provides tech leaders with a platform they need to make well-informed decisions about AI adoption strategy.
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25:46Yeah, absolutely. I think the hype around AI has surpassed the technology almost. And it's, you know, we need to come back around to what's realistic. At the end of the day, as you know, Cathy, it's all about the quality of your data, isn't it? I mean, if you don't have your data in place in the right way, then you're not going to get much value from AI. And also, if you haven't got governance in place, then, you know, you're going to get in trouble with AI, power of AI technology. Very quickly. Very quickly. Look at that. the number of agents that's going to be deployed in the industry. I was meeting with a customer in the tobacco industry.
26:24I cannot name any name, but there's not a lot of those across Europe. They already deploy more than 2 ,000 agents. Wow. Chaos. How do you control? How do you orchestrate? How do you make sure you're compliant? How do you make sure you can report to the regulator around what these agents are doing? Right. So right now, the big topic is governance, understanding how you can, you understand the decision chain and the interaction between agents to solve the problem. And if you consider AI is outside of your system and embedded into the workflow, you're totally wrong. So AI is only as good as the platform is built on, only as good as the data you're using, and only as good as the workflow it is embedded into.
27:10You need the three components to come together and you need to govern all of that. Yeah, sure. I think I described what we do, right? That's precisely what we do. Those four things together. It's the perfect storm for you guys, isn't it, really? It is. It's the perfect storm for what you've been building up to since 2004. We've been built for that, for that moment, actually. For this moment, this is the moment. This is our moment. So that's why I'm so excited to be here right now in this position at ServiceNow, because I do believe there's a very strong momentum for us. My understanding is that ServiceNow was created by someone who was frustrated that, you know, service tickets weren't being cleared fast enough.
27:51For a customer, literally, if you look at this story, it's pretty fascinating. Actually, that was not IT at all. That was literally a customer service. There was a lady that needed to get into, like, I think 10 systems to get a customer order form ready. And that's what our founder, you know, figure out that, you know, using one button, you could automatize the process and the workflow. That's how we were built on a very simple idea that actually you can digitalize and automatize process. And now, of course, NextWave is not automatized, is a gigantic embedded workflow, right? So it's, you know, that's to run autonomous enterprise.
28:30That's the vision of the future. This is a bit of a sticky subject, I think, at the moment, because people are just really not sure what's going to happen as this technology, you know, as AI generally gets better. Are you seeing your customers hiring less? It's not necessarily getting rid of people in redundancies, but are they hiring less as a result of agents doing more and more around service management and, you know, service desk stuff? We don't see them hiring less. We see them hiring differently. Okay, good answer. different skills and you need to be able to have people who can work fluently with AI right so you could be thinking that the young generation will be AI native but even them need to do need to learn how to do a prompt you still need human brain to figure out if the prompt and AI is doing something stupid or not right so it's a different skill that you will need by the way all tech company, including us, have a huge responsibility and contribution to the skill set.
29:32I guess for some functions, there will be impact. That's for sure. By the way, just before this conversation, I saw a new news that Anthropic has disclosed the list of jobs that will be, according to them, the most impacted by AI. And if you look like, of course, all IT, all engineering, mathematics. Things that have manual administrative tasks, I suppose, yeah. That, but if you look at the other side, according to them, that will impact the highly skilled people much more than the people that don't have that many required capabilities. It's funny that, isn't it? You still need people to do manual things, right?
30:14For instance, in agriculture, you can enhance and augment the yield on the yarn, but you cannot replace farmers. You need people to do the job. No, yeah, plumbers and things. I think right now, everybody's pretty much navigating. I do think there's going to be impact on some sort of jobs. I do see most of the companies trying to figure out how to be more productive, including us, by the way. We need to drink our own champagne. So we need to be using our own technology. We need to be smarter. We need to be AI native. We are not an AI native company. And we are competing with AI native companies.
30:48So we need to become AI native, which means using the technology to get us, to augment us. Will that translate into a reduction? I don't think so. I really think it's going to be translating into a shift in profiles. I personally don't believe that we're going to be having a company that will be run entirely on AI agents. That's impossible. That's my wish. That is impossible. Yeah, I can't see how that could happen unless it was a very specific business. Yeah, or you can fully automatize and maybe robotics can be enhanced. So there's a bucket of things. I do believe it's going to be a lot of multi-model and combining human agents interaction much more.
31:31That's why you need human that needs how to speak to agents, needs to know how to control the wrong decision and be able to judge. Judgment will be critical even more. Because if you just rely on Chagipity or any cloud or any model, you lose your ability to judge. So judgment will be critical and skills, how to use AI properly will be critical. That's my view, right? But I may be wrong. And I hope I'm right. If not, that's very scary. No, I think you will be right for sure. I don't think there's much doubt about that. One of the most interesting conundrums this has created is around content creation.
32:10So it's like the child who gets AI to write the essay that the teacher has wrote them and hands it in, okay? Now, if that essay that the teacher marks is clearly, or they know for some reason that it's written by AI, but nonetheless, it's right. It feels like the person's words, but clearly they've used AI. Does that detract away from the outcome of a good essay? Or should we ban AI for learning activities? It's a bit like the calculator with math equations, isn't it? You know, so the question is, in terms of creating content, if you use AI, does it detract away from the outcome of the content created?
32:47And do you view it like that? Or do you think that we need to embrace it? Yeah, for me, we need to embrace it. It's like, you know, we had the digital revolution, we had the mobile revolution, we had the cloud revolution. And, you know, and remember all these big, you know, people say, no, no, no, it's going to be horrible. It's going to change. We need to stick to the past. Yeah. We can't. We need to stick to the future. We need to embrace the future and we need to learn how to cope with the future and to use the future. I had this very interesting conversation with my daughter, actually 20 years old.
33:20She's in Les Urban University and she's using CHGPT to augment herself. So the deal is, hey, I still need to learn because if I'm doing studies, if I'm a student, I still need my brain to learn about the content. But I'm going to use AI to be faster in some of the things I have to do or getting straight to the point. It doesn't mean that a brain will be less trained. It means that she's going to be smarter and more efficient on some delivery. Absolutely. Efficient is the word. Super smart. Super smart to do so. And, you know, we had this debate. It's pretty fascinating to see the young generation.
34:01Some, I guess, are a bit extreme because they are using AI to learn instead of them and they're going to become stupid. And that's the risk that we lose our brain and ability. But, you know, Garrett, AI is already stronger than human. It's already, you look at all the, you know, chess board, AI is beating any of our players globally, right? So that's the unique nature of this, right? So we cannot fight this technology. We need to embrace it and control it and use it the right way. I think that's for me the key. How do you use it for good? How do you use it to augment you, to augment company? You know, if tomorrow we have a fix for cancer treatment using AI, that's great.
34:44If we have a fix using AI technology for global warming, wonderful. I mean, if we have a fix using technology for education in a deprived environment, great. If we are using AI to kill even more each other, no. But that's why, you know, in a human, my view, personal view, that we cannot stop this. And we just need to... There's no point of fighting against it. Co-exist. Use it to augment you while, again, using your brain to be very conscious. Yeah. It's just, you know, self-awareness. You know, I'm a firm believer that technology is for good and it has to be for good. Yeah, that is the only thing that concerns me a bit, though, is the fact that people like you and I clearly are very bought into this technology and use it and benefit from it.
35:32But there's a lot of people who don't and just cannot get on with AI and large language models. And I just think it's going to create this enormous gulf, this inequality in progression, you know? I agree. And so we have to get more people using this technology in order to elevate us collectively, I think. Do you agree? I totally agree with you. I totally agree. And that's why, you know, all 10 companies have a role to play. That's why we, for instance, you know, launch Servista University to scale on AI up to 3 million workers by 2027. It's a drop. It's a drop in the ocean. But if everyone is embracing, you know, we can have an impact globally.
36:11Now, I think all the education system has to be rethought and teachers have to be retrained. It's a huge change. And, you know, AI will be multimodal and that will be the new normal. That's going to be the reality. And so that's going to be impacting enterprises for sure. And that has been confirmed by IDC and by all the research environment that 80 % of enterprise AI system will be multiple input types by 2028. That's the reality. But even in society, it's going to be a huge transformation. and coming back to a conversation earlier, Western Europe is moving quite slowly because we are afraid and because this is an American company, most of the time American technology, and we are unique.
36:56We need also to control. So I guess, you know, there's also an opportunity for Europe to lead in some way, right? And to have a voiceover at global level, not to be squeezed between America and China. We have a great company. We have great education. We have great people. We just need to make sure that we have the mix of talents and also that we are all AI-augmented citizens. I do believe there's going to be a wave of change in a couple of years. It has to be for good again. And that's something you and I can debate. We can contribute. But we need our politicians. We need our regulatory system.
37:35We need everyone to embrace it. It's there. It's there. So there's no way that we can avoid it. We just need to embrace it. Yeah, 100%. And that's why I asked the question, is because there is still stigma around using AI. It's still kind of people go, oh, you're using AI. That means you're cheating. And it's like, no, we're not cheating. That's ridiculous. You're looking at it the wrong way. So I'm glad you agree with me on that. So can we jump back on to ServiceNow then? I wanted to ask you about the knock-on effect, the multimodal AI, the platform strategy, and the knock-on effect this has on your commercial pricing and your engagement, your commercial engagement model with your customers.
38:11So I know, obviously, in the past, it's been evolving probably for years. Do you build your customers more on a telemetry model, a consumption model now? And what do you see the next couple of years looking like on that sort of things? Great question, Gareth. We have to ship to consumption. It's going to be tokens, agentic tokens, how many you consume for what use case. So we are just changing our models. It's going to take a bit of time, but that's the direction of the industry, a direction if it agentic token consumption, right? And again, this is going to change a lot in the next two to three years, right?
38:48So all of us are trying to figure out what is the right pricing model. We were not a consumption first pricing and licensing. We have to go there because again, our customers are willing to consume. So we are navigating this transition. All our product is going to be AI embedded, all of those, right? So it's going to be not going to be agentic, not AI, agentic embedded. So it's not about, you know, are we identifying or not? We are identifying. As you know, we've had quite Moveworks, which is the employee front end, which also will have to be consumed, yeah, agent and telemetry. So we are shifting to consumption.
39:24We're going to have those two models over time. Time for us to just, you know, settle into the new world because we still have products that are not identified. But as the next release, which is Australia, we're going to have everyone using Australia, agenting first. And so while we transition all our customers, we're going to get there all the time. So it's going to take a bit of time, not that much yet, because that's the direction of travel, that's the industry, the industry is like that. So we just need to embrace it. But for us, we need to move from one model to the other one. But it's like moving from on-prem to cloud.
39:58It's moving from SaaS to authentic. It's just the next wave of evolution. I'm quite relaxed. How long do you think it will take you to complete that transition then? Do you think globally? I know it's probably a difficult question to answer, isn't it? But do you have any idea? Well, I think it's going to be very fast. I'm telling you. Because the technology is going so fast. I think we're going to be driven by our customers and they will push us. I think, you know, three, four years, maybe less than that. We have to do maybe two years, right? You know, again, Next3Ds, Australia, all products are gentrified.
40:36We're going to sell only that, identify workflow, right? So, you know, it's time for us to move to a break people and to change all the engagement models. And it's depending on customer. It's how they want also to engage with us. It's what customers want, right? So we are here to serve our customer, to drive them, of course. But, you know, I guess the customer will be the voiceover to anything we do. Yeah, of course. I have to say, I was going to say, just in terms of the impact of AI on SaaS, generally speaking, and it doesn't really impact you guys because it's a big enterprise product. But I'm thinking in terms of smaller sort of SaaS companies who've got product sets with little tools and bolt-ons and plugins and things like that.
41:18I mean, I was using Claude Code last week and I created a piece of software, like a dashboard for analyzing your software spend with a couple of major vendors. And I used ChatGPT to create the prompt. It was quite a sophisticated prompt, put it into Claude Code and the outcome was just like, wow. Wow, I mean, in five minutes, I'd create this incredible software product. And I'm not even technical. And I just think, you know, a proper software engineer would be able to create very complex software very quickly now. This is going to hammer the SaaS world, surely, over the next couple of years. Have you got any thoughts on this?
41:53And what can SaaS companies do to fight back against this wave of bespoke software creation on demand by companies and individuals? Well, I think some will die, to be fair, and some will win. Again, for me, I see that as another disruption from, you know, digital to mobile to cloud, you know, all these waves. I think I don't have the answer to all of these, right? But I think the SaaS bashing is a bit exaggerated because you need to, again, put yourself into an enterprise world, right? And that's why we believe we're extremely well positioned. There's no way you're not going to have an ERP to run a company.
42:29No way. That's not going to happen. So you're going to have SAP or Oracle. there's no way you're not going to have a CRM to engage with your customer. There's going to be ServiceNow or others. I'm not going to say any names. There's no way you're not going to have a financial system to report to a system of free code, right? That will not happen, right? Of course, there will be agentic embedded. There will be more agile, leaner, faster. And again, coming back to what I'm saying, what makes a difference between that and the world of the future is how you govern and how you embed AI into the workflow.
43:06Because the work, the work is the workflow. It's how you move things from one point to the other one. How you connect systems so that they are making together the right outcome for an employee, for a customer, for a finance person, for whomever. So I don't believe SaaS is over. I do believe though, small SaaS, niche SaaS, like insurance, for instance, or legal, will be heavily disrupted. Yeah, I think so. No, there's going to be disruption in all the SaaS companies, all of us. And we are both SaaS and on orchestration layer. That's why we don't see us really as a SaaS. There will be point solution that will be impacted.
43:48Small company, the big one, will have to change their model to be more agile, more innovative, leaner. But they will survive because the company will still need them. And there's legacy. Coming back to where we are initial conversation of who will tomorrow disrupt a mainframe to use cloud? Who would do that? I would love to see their name. I would love to have a conversation with them. Maybe in three, four years' time. But Gerard, think about that. All of this will be commoditized over time. What is hype today, Anthropic, Cloud, and Chagipity will be, again, commoditized. Their own business model will have to be revisited.
44:25They are not making money. So they are building on a lot of infrastructure. So all of this will change a lot. There's a lot of unknown and there's a lot of, you know, people, betting. I don't believe SaaS is that at all. SaaS will have to change. Small SaaS, niche point solution may be heavily impacted. But, you know, what is sure is our industry will be changing very fast again, as we did five years ago with COVID, as we did when we moved to on-premise to cloud. Remember that at the time being, it was a big thing, right? And so the difference is the pace. It just goes much faster. Yeah, I mean, one thing the service now have always been good at is allowing people to build applications within the platform so they don't have to rely on IT to build them something.
45:13So that you've always been big on the no code stuff, have you? And I think that's probably the future is good SaaS providers will adapt by giving their users, you know, the tools they need to create the applications they want within their environment. I think that's the key, isn't it? But then you need to govern all of this. It's not just a chaos. And then you're creating shadow IT, shadow AI, and it's going to be ungovernable. That's why we do believe governance is everything and embedded into the workflow. Can we quickly chat about that then before we finish? I'm just really interested in what advice you're giving to your customers, et cetera, on software asset management, essentially, and governance.
45:53What kind of advice are you guys giving to CIOs at the moment? First, they need to be convinced they need to have control, right? And they need to be thinking a bit differently than in the past, right? So control tower, again, the world of tomorrow is a world where you add data, LLMs, workflow, and you need governance above, right? That's a bit different than the traditional system when you need an ERP, you need a CRN, you need an HGM system, which we have much more silo. Now, the word of today is a word of transversity. It's across. It needs to be across. And so that's why we are helping our customer to figure out, you know, we've acquired VEZA and Armis and MoveWork recently.
46:33All of this is really giving us first the employee front door experience with MoveWorks, but also with VEZA and Armis, the ability to control agentic access. So it's access management, the agentic, right? So you can scan all your assets and you are via AI control tower, just scanning all your assets. And then on top of via BIDSA, controlling what agent access to what. And that's going to be critical. Because, you know, again, asset identification is pretty basic. Agent identification and access management is a bit more tricky. And that's where the risk, by the way, sits. And then with Armies, you can connect with the physical and digital world, O-T-I-T.
47:18So that's what we call AI control tower. By the way, that does resonate extremely well with our customer because right now, it's a nightmare for them. BOLD wants governance, wants regulation, wants clarity, but also wants transformation, wants speed, wants effectiveness. That's really hard, really hard. So what we are advising them is put the framework in place together. Put the right connector to your data set, the one that do matter for you to do this workflow. Be pragmatic. Don't boil the ocean. Just be very pragmatic. Identify what LLMs you really want to use. Don't do shadow AI. LLMs are critical.
47:57Select a set of LLMs that you need to make your agents intelligent or to augment yourself. And then put it back into this framework that we can provide and help them build. That's fantastic. Yeah. It does resonate very well because that's the moment for them to just put this in place and imagine if tomorrow an agent is making a bad decision in the bank transaction and just instead of, I don't know, that will not happen. But instead of, you know, creating a credit for 100 euros, it's creating a credit for 1 million because there's a mistake in the system. You can have a huge, huge, huge impact on the bank credibility, a huge impact on the citizen that is impacted, the customer that is impacted, governance, DORA regulation, all of this is exploding.
48:38You cannot let that happen. So you need to make sure that you track access, you track decision making, you track workflow, and you report. More important than ever, in the physical, digital world, consistency all the time, all assets. All the regulated industry are coming to us with this question. Yeah. All of those. But then it's going to be scaling across regulated industry because with agent deployment, it's going to be any industry. Fantastic answer, Cathy. We are actually a software asset management company. So I've got so many questions, but we ain't got time. So let's finish up on these ones then, okay?
49:15So that was a brilliant answer, by the way. And I thank you so much for sharing that. That's really useful for our listeners, I'm sure. So let's jump into this one then, okay? So you're obviously, you know, a female tech leader and, you know, I'm sure an inspiration to many people. So what I'm keen to understand is if you could go back and give that 21-year-old person advice, it wasn't that long ago, Cathy, I'm sure. If you could give him advice in terms of, you know, knowing what you know now, what would you say to that person who started your career? Trust yourself. Be bold. Take risk. Confidence, yes.
49:49follow your heart follow your guts because my i've been following my guts a lot of time anytime i didn't follow my guts i i made a mistake but of course good mistake that drove me to the next level so that what i would i would say to me and also i would i would tell me don't start in finance you don't it goes straight into business because you are meant for that right so again i'm not i'm not blaming myself for anything i did because all the steps brought me to where i am today but it's more about the doubt and sometimes the uncertainty and you know managing a big family for kids sometimes it's been like that's a lot of work I got two yeah yeah yeah I have two business I have the home business and the real you know no the real business is home that's the real business yeah yeah for sure and the one I'm paid for right so so yeah I would say like just be more relaxed about myself.
50:46I put a lot of pressure on myself as a female. I always wanted to deliver more. I always wanted to be better. I always had to prove that I deserved. It's always this male versus female, all this bias. Female need to be 100 % ready before they think they can take the next steps. Men, 50 % are okay to try. And when I was young, I've always needed to be 200 % ready before I even consider getting the next steps. be more relaxed, right? Just more relaxed. I want you to control everything. And in life, you cannot control everything. And what's happening today, this revolution is the best demonstration that you just need to embrace.
51:27You cannot control. Yeah, absolutely. Brilliant advice. I love that. I love that. So for our listeners then, so let's finish on this one. We always ask our guests to recommend a piece of content. It's normally a book, but if you're not a reader, it can be something else. Something that's inspired you recently, Cathy? Yeah, well, not recently. Something that everyone needs to be reading is a book from Carol Dweck about the growth mindset. That's the playbook we had to read at Microsoft, Carol Dweck. Oh, can you spell the surname? D-W-E-C-K-R, Carol Dweck. And this is how you embrace growth mindset, learning a learning mindset and lead with empathy.
52:09I think that's really, really, really, really one of the books that really forged my thought process. Satya has been a big fan of this and used this as his personal style. I read the book. I highly recommend it to everyone because it's really what I believe is great leadership. And that's really coming back to empathy, coming back of growing mindset and embracing. And in this moment, growing mindset is critical. Yes, absolutely. And what a great place to finish. So where can people sort of connect with you, Cathy, and keep an eye on what you guys are doing? LinkedIn is the best channel for me.
52:47I'm very active on LinkedIn. I'm very good at Twitter. Sorry about that. And I don't want to be good at Twitter. I'm good at LinkedIn, posting the news on LinkedIn, what's happening. It's a mix of, you know, what I see, a conversation with my team and my customer across Europe, Middle East and Africa, and also the latest and the greatest on service. So that's a good combo and a good mix. Fantastic. Well, Cathy, I've really enjoyed this conversation, genuinely. And so did I. And like I said to you earlier, I could go on all day. But thank you so much for doing this. It's been an absolute blast.
53:16Thank you, Gareth.
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From the publisher
Join us this week for The Tech Leaders’ Podcast, where Gareth sits down with Cathy Mauzaize, President of EMEA at ServiceNow. Cathy talks about her journey to ServiceNow via some of the biggest tech companies in the world, unpicking the hype and reality around AI Agents, and why the Middle East is embracing modern tech faster that Europe.
On this episode Cathy and Gareth discuss how companies survive in a modern, global economy, how AI will impact human learning, and a nugget of advice from Microsoft CEO, Satya Nadella.
Timestamps:
- Introduction and early days (2:07)
- Legacy Tech and the Middle East (13:00)
- Priorities for Enterprise (21:55)
- AI Agents: Hype and Reality (25:48)
- AI and Human Learning (32:05)
- Commercial Impacts of AI (38:00)
- ITAM and AI Agents (45:43)
- Advice for 21-year-old Cathy (49:20)
