WEBVTT 00:00:00.166 --> 00:00:03.086 Increasingly, we're seeing CEOs not ask, what can AI do, 00:00:03.086 --> 00:00:05.171 but how do I really rethink my organization 00:00:05.171 --> 00:00:07.716 and rewire my operating model to be agentic-first? 00:00:07.716 --> 00:00:09.342 And in that context, we're super excited 00:00:09.342 --> 00:00:10.635 to be deepening our partnership with you 00:00:10.635 --> 00:00:13.179 and the work that we do together. 00:00:13.179 --> 00:00:15.098 Can you just talk a little bit about that partnership 00:00:15.098 --> 00:00:17.308 and how the combination of Google and BCG 00:00:17.308 --> 00:00:18.143 is really so powerful? 00:00:18.351 --> 00:00:19.769 And so agentic is moving fast. 00:00:19.769 --> 00:00:21.396 It's really sort of breakneck pace. 00:00:21.396 --> 00:00:22.605 And so if we think about even two years ago 00:00:22.605 --> 00:00:26.026 where it was about prompting an AI, 00:00:26.234 --> 00:00:27.610 that's moved on to this notion 00:00:27.610 --> 00:00:29.112 of sort of context engineering. 00:00:29.112 --> 00:00:31.656 We're now seeing agents that are able to plan, 00:00:31.656 --> 00:00:34.451 execute independently, swarms of agents 00:00:34.451 --> 00:00:36.119 that are now embedded in workflows, 00:00:36.119 --> 00:00:37.912 and very soon agents that talk to agents, 00:00:37.912 --> 00:00:40.040 and not in the not too distant future, 00:00:40.040 --> 00:00:42.500 even agents that can pay and transact on your behalf. 00:00:42.500 --> 00:00:44.461 So that is a phenomenal amount of change, 00:00:44.461 --> 00:00:48.173 and so CEOs, I think, are now clearer about the value 00:00:48.173 --> 00:00:50.008 that AI could deliver to you. 00:00:50.008 --> 00:00:51.134 But the question is how? 00:00:51.134 --> 00:00:52.886 And I think, you know, our partnership 00:00:52.886 --> 00:00:56.347 and a great proven track record of being able to engage 00:00:56.347 --> 00:01:00.101 CEOs and management teams on core business issues, 00:01:00.101 --> 00:01:03.229 focus on the impact and value creation for them, 00:01:03.229 --> 00:01:05.482 turn that into a very clear roadmap, 00:01:05.482 --> 00:01:08.109 and deliver it in very, very fast order, 00:01:08.109 --> 00:01:10.028 in typically eight to ten weeks for a use case. 00:01:10.028 --> 00:01:13.198 I think that's an exceptionally distinctive way to work 00:01:13.198 --> 00:01:15.742 and unique, I think, to our relationship. 00:01:15.742 --> 00:01:17.285 Part of that deepening of partnership 00:01:17.285 --> 00:01:18.870 is now Google DeepMind is also involved, 00:01:18.870 --> 00:01:20.538 which again, we're very excited by. 00:01:20.538 --> 00:01:22.707 And that this notion of really going from lab 00:01:22.707 --> 00:01:24.417 into the boardroom and into these, you know, 00:01:24.417 --> 00:01:25.627 CEO-level conversations 00:01:25.627 --> 00:01:27.837 around transformation and delivering the transformation, 00:01:27.837 --> 00:01:30.006 something that we think is really gonna be 00:01:30.006 --> 00:01:31.925 a step change for our partnership. 00:01:31.925 --> 00:01:34.094 Talk, sort of a little bit, how that came about 00:01:34.094 --> 00:01:34.928 and what it's gonna bring? 00:01:34.928 --> 00:01:36.429 We've had a long history of working together 00:01:36.429 --> 00:01:40.183 where I think, you know, BCG brings the domain independence, 00:01:40.183 --> 00:01:42.143 it brings the operational and strategy expertise, 00:01:42.143 --> 00:01:43.394 it brings the technical expertise 00:01:43.394 --> 00:01:46.314 as we're thinking about deploying together. 00:01:46.314 --> 00:01:49.484 The one thing that was missing, I think, was the ability 00:01:49.484 --> 00:01:51.778 for Google to really sort of be a step ahead. 00:01:51.778 --> 00:01:53.863 And what does the Google DeepMind relationship bring? 00:01:53.863 --> 00:01:55.532 It brings early access to our models, 00:01:55.532 --> 00:01:56.366 so that's fundamental. 00:01:56.366 --> 00:01:58.993 So we get to see them, test them, you know, 00:01:58.993 --> 00:02:01.996 build capabilities together before they become mainstream. 00:02:01.996 --> 00:02:04.624 Two, as we're delivering use cases, 00:02:04.624 --> 00:02:06.042 and in our business, as you know, 00:02:06.042 --> 00:02:06.918 most of the ones we're doing 00:02:06.918 --> 00:02:09.045 are actually very, very complex re-engineering 00:02:09.045 --> 00:02:11.631 or rewiring of an existing or new business model, 00:02:11.631 --> 00:02:14.050 having Google DeepMind, their researchers, 00:02:14.050 --> 00:02:17.011 their engineering at the coalface with us, 00:02:17.011 --> 00:02:20.473 just gives us huge uplift in capability in thinking through 00:02:20.473 --> 00:02:23.101 what AI could, should, and will do. 00:02:23.101 --> 00:02:25.436 And the third one I think is a benefit to DeepMind itself. 00:02:25.436 --> 00:02:27.856 All of that collective tribal knowledge, 00:02:27.856 --> 00:02:29.566 we would love to go back into DeepMind 00:02:29.566 --> 00:02:31.901 so that they can look at the models they're developing, 00:02:31.901 --> 00:02:34.279 stretch the capabilities of the ones they have today, 00:02:34.279 --> 00:02:37.115 and really start thinking about the models of tomorrow. 00:02:37.115 --> 00:02:38.700 Well look, it's been a pleasure to have you, as always. 00:02:38.700 --> 00:02:39.909 Thank you for the conversation. 00:02:39.909 --> 00:02:40.743 My pleasure.