WEBVTT 00:00:00.000 --> 00:00:02.335 Gregor, Neeraj, nice to see you. 00:00:02.335 --> 00:00:05.880 We're here to talk about agentization of ERP. 00:00:05.880 --> 00:00:09.968 And as SAP and BCG, we always talk about 00:00:09.968 --> 00:00:13.054 how our core enterprise systems are moving away 00:00:13.054 --> 00:00:16.141 from systems of storage, systems of record, 00:00:16.141 --> 00:00:19.602 towards, really, autonomously executing tasks. 00:00:19.602 --> 00:00:22.355 You're seeing that, you're talking about this. 00:00:22.355 --> 00:00:24.190 How do you see this at play, Gregor? 00:00:24.190 --> 00:00:26.234 How do you see this happening? 00:00:26.234 --> 00:00:27.736 Well, I think right now, 00:00:27.736 --> 00:00:30.739 we're at the full paradigm shift, actually. 00:00:30.739 --> 00:00:32.282 So historically, 00:00:32.282 --> 00:00:36.578 ERP has been the integral operational backbone 00:00:36.578 --> 00:00:42.709 of a customer, right, driving process excellence 00:00:42.709 --> 00:00:45.045 in one single source of truth. 00:00:45.045 --> 00:00:48.423 And I think right now we are at the next logical evolution, 00:00:48.423 --> 00:00:51.760 right, from process standardization 00:00:51.760 --> 00:00:55.096 to autonomous orchestration, actually. 00:00:55.096 --> 00:00:56.598 And if you think about it, 00:00:56.598 --> 00:00:59.392 if you put an agentic intelligence 00:00:59.392 --> 00:01:03.897 on top of a clean core, right, 00:01:03.897 --> 00:01:08.902 it's not only improving the records of business, 00:01:08.985 --> 00:01:09.819 it's, actually . . . 00:01:09.819 --> 00:01:13.031 you redefine how to run a business. 00:01:13.031 --> 00:01:17.952 And that goes into the AI-native operating system. 00:01:17.952 --> 00:01:19.662 And the beauty of it right now 00:01:19.662 --> 00:01:24.626 is because SAP inherits so much knowledge process context 00:01:25.335 --> 00:01:27.879 that we can include in the system, 00:01:27.879 --> 00:01:31.091 as well as the constitutional DNA 00:01:31.091 --> 00:01:33.468 that we encoded for decades, 00:01:33.468 --> 00:01:36.513 it allows us-that if you think about 00:01:36.513 --> 00:01:39.849 sort of functional, operational, fiscal, 00:01:39.849 --> 00:01:42.769 right-really to serve as an enterprise DNA. 00:01:42.769 --> 00:01:47.398 And that gives way to not only manage data going forward, 00:01:47.398 --> 00:01:51.361 but also reason and execute it. 00:01:51.361 --> 00:01:54.989 And this is the birth of the autonomous enterprise. 00:01:54.989 --> 00:01:58.076 Neeraj, in our work we see at BCG, 00:01:58.076 --> 00:02:00.453 clients moving, you know, 00:02:00.453 --> 00:02:03.581 very slowly away from individual use cases 00:02:03.581 --> 00:02:05.291 towards scaling of use cases, 00:02:05.291 --> 00:02:07.168 towards now implementing, really, 00:02:07.168 --> 00:02:11.798 and trying to scale, really, agentic tools and methods 00:02:11.798 --> 00:02:13.883 and in their ERP. 00:02:13.883 --> 00:02:15.552 What do you actually see on the ground 00:02:15.552 --> 00:02:20.431 with all this being operated in a very complex data process, 00:02:20.431 --> 00:02:22.058 permission context? 00:02:22.058 --> 00:02:25.061 I think this is where, I would say, is the launch 00:02:25.061 --> 00:02:27.522 of the business AI platform is a key part 00:02:27.522 --> 00:02:30.608 of this entire innovation cycle, actually speaking. 00:02:30.608 --> 00:02:32.193 What we actually have done together 00:02:32.193 --> 00:02:34.904 is build the end-to-end platform, 00:02:34.904 --> 00:02:37.699 which is actually grounded in the data, 00:02:37.699 --> 00:02:40.118 in the knowledge, in the business processes. 00:02:40.118 --> 00:02:41.911 So when you create an agent, 00:02:41.911 --> 00:02:45.999 and you move from a prototyping to a pilot to a production, 00:02:45.999 --> 00:02:47.584 it is actually grounded 00:02:47.584 --> 00:02:50.086 in the context of the customer, right? 00:02:50.086 --> 00:02:53.715 And this is a big change in the system right now, 00:02:53.715 --> 00:02:56.259 where customers would be confidently able to move 00:02:56.259 --> 00:02:58.970 from the pilot and prototyping stage to production 00:02:58.970 --> 00:03:02.557 because the context still remains with the agent per se. 00:03:02.557 --> 00:03:04.726 And this is the power of the business AI platform 00:03:04.726 --> 00:03:06.227 that we just launched. 00:03:06.227 --> 00:03:08.021 So now to you both: 00:03:08.021 --> 00:03:10.565 With BCG and SAP working together, 00:03:10.565 --> 00:03:13.860 what is the most promising opportunities for you 00:03:13.860 --> 00:03:17.197 in the short term, and how do we capture it? 00:03:17.197 --> 00:03:20.200 Well, I think BCG and SAP together can bridge the gap 00:03:20.200 --> 00:03:22.160 between model capability 00:03:22.160 --> 00:03:25.622 and, actually, the operating reality 00:03:25.622 --> 00:03:29.250 by providing an AI-native operating model, right? 00:03:29.250 --> 00:03:32.086 And I think that's an immediate opportunity out there. 00:03:32.086 --> 00:03:34.589 Every customer wants to go agentic, 00:03:34.589 --> 00:03:39.594 and BCG, as a leading strategic, transformation partner, 00:03:40.345 --> 00:03:42.764 you can define the high-impact areas 00:03:42.764 --> 00:03:45.058 and see where the changes are needed. 00:03:45.058 --> 00:03:47.352 And this is then where SAP comes into play. 00:03:47.352 --> 00:03:49.062 And just to cap it off, 00:03:49.062 --> 00:03:52.148 this is where the agent journey comes together with BCG. 00:03:52.148 --> 00:03:55.026 Agents created on the business AI platform 00:03:55.026 --> 00:03:58.029 will show the value and show the high-impact areas 00:03:58.029 --> 00:03:59.864 grounded in the customer data, 00:03:59.864 --> 00:04:02.784 with the constitutional guardrails out of the box. 00:04:02.784 --> 00:04:04.535 So, in summary, 00:04:04.535 --> 00:04:07.956 huge opportunity in agentic transformation for our clients 00:04:07.956 --> 00:04:11.751 to have more value earlier and faster delivery 00:04:11.751 --> 00:04:14.170 with AI-first delivery, with less risk. 00:04:14.170 --> 00:04:15.880 Let's do it together. Thank you.