Yes, my understanding is that's mainly where you were focused?

With AI, I think Microsoft could consolidate their presence on these. Nothing changed in terms of revenue, honestly. If you think that Microsoft, with the Copilot perspective, for example, in productivity, Microsoft has good penetration, but new revenue generated is still not relevant, being honest. A lot of customers have Copilot Chat, for example, embedded in their operations. It is free, and when they have to pay the Copilot additional for Excel, for PowerPoint, et cetera, the teams at Microsoft are facing a huge challenge to do that, being honest with you. In cloud or development, for example, GitHub applications or low-code, no-code applications, that's where Microsoft is facing a good moment in terms of AI. Tools like Copilot Studio, for example, which is a Canva to build your own Copilot. If the customer is a Microsoft-based customer, if they have M365 or if they have Dynamics, if they run their applications on Azure, it is the natural choice. Microsoft is surfing well with this. Again, because they have the great distribution, because in Microsoft, you do a contract, an EA, Enterprise Agreement, it is difficult later for you to escape from that. It is a mix of Microsoft being in a good pace in terms of AI solutions, but also the exit barrier is strong on Microsoft.

Were you able to pin down an ROI for your clients when you are selling AI and Copilot, or is it too hard?

However, particularly within sales organizations, the approach is evolving. For example, banks looking ahead to 2026 are increasingly focused on how to translate cost savings into revenue growth. Rather than relying solely on reducing headcount, they are also looking at how to drive higher performance from the remaining team. In practice, this may involve increasing sales quotas or raising performance targets, with the aim of generating additional revenue alongside any cost efficiencies. How is it measured? You can look at efficiency gains. When we talk about efficiency gains, we talk about doing more with less. Second is the ROI. That is the end KPI that we work with. What is my ROI in 12 months, 24 months, or 36 months? With AI, we look at one year maximum because everything changes every week.} We used to have around 88% positive ROI in one year - I'm talking about real data from projects I worked on. If I invested $1, I could return $1.88 at the end of the year, in 12 months.