WEBVTT 3c9743af-bd48-4ba5-b451-7758a701a908-0 00:00:00.680 --> 00:00:05.200 We have tried to adopt this technology. adfa42ce-2198-4c19-ae2b-75d01d3bdf3e-0 00:00:05.600 --> 00:00:08.047 You'll hear people using the word adopt a lot. adfa42ce-2198-4c19-ae2b-75d01d3bdf3e-1 00:00:08.047 --> 00:00:11.120 And I'm beginning to think that that's not the right word. 3d2f634c-2916-4209-8cdf-7b57db816846-0 00:00:11.800 --> 00:00:15.320 What we should be doing is adapting to this technology. 4c0c84ff-3d27-40c3-a311-9271717f814b-0 00:00:15.760 --> 00:00:18.380 Bryan, Peter, thank you so much for being here. 4c0c84ff-3d27-40c3-a311-9271717f814b-1 00:00:18.380 --> 00:00:19.200 To both of you, 648bbe23-6217-4679-8104-766aec438643-0 00:00:19.320 --> 00:00:22.214 when you hear agentic era, what does that mean to you, 648bbe23-6217-4679-8104-766aec438643-1 00:00:22.214 --> 00:00:25.320 especially in the context of sales and go-to-market teams? 81c68bb1-6aba-4b86-a721-c21275ddd0fe-0 00:00:25.800 --> 00:00:29.640 I would say that for us right now, there's an extraordinary opportunity 81c68bb1-6aba-4b86-a721-c21275ddd0fe-1 00:00:29.640 --> 00:00:30.760 around digital labor. 238c2362-8bd3-44ab-abe6-f0953324b03e-0 00:00:31.040 --> 00:00:34.853 If you think about any large or even medium-sized sales team, 238c2362-8bd3-44ab-abe6-f0953324b03e-1 00:00:34.853 --> 00:00:37.560 there's so much that we leave on the table. 15396695-6be3-4e85-8bba-b0d08370a0b0-0 00:00:37.720 --> 00:00:40.920 There's so much that the customer experience that could be improved. 55598e5b-3bef-4f1d-a274-5e6a4daaef38-0 00:00:41.360 --> 00:00:43.720 And a lot of this is because we just lack the labor. bc4a1cf8-d7c4-4fd9-8ebd-b4d7bfd84590-0 00:00:43.720 --> 00:00:44.520 We lack the people. 6ca40ce9-e948-46a6-9d0b-30c6c97e63a3-0 00:00:44.520 --> 00:00:48.628 We lack kind of the biological capability to respond to every lead, 6ca40ce9-e948-46a6-9d0b-30c6c97e63a3-1 00:00:48.628 --> 00:00:50.320 to respond to every outcome. 7d820e84-f86c-4104-9612-1fd7b6856532-0 00:00:50.840 --> 00:00:53.821 And so for us, there's an extraordinary customer 7d820e84-f86c-4104-9612-1fd7b6856532-1 00:00:53.821 --> 00:00:57.289 experience that we can drive with these agentic moments, 7d820e84-f86c-4104-9612-1fd7b6856532-2 00:00:57.289 --> 00:01:01.913 and we can really sort of up level every company in every part of its sales 7d820e84-f86c-4104-9612-1fd7b6856532-3 00:01:01.913 --> 00:01:02.400 process. a6236c4e-ffdb-4d6f-87f3-d3a6ce8b52eb-0 00:01:02.400 --> 00:01:03.760 And it's a really exciting time to be here. c0220bc4-b8f1-457e-a6c8-93b9757f3248-0 00:01:05.000 --> 00:01:08.911 You know, Peter, I love the focus on sales and customer c0220bc4-b8f1-457e-a6c8-93b9757f3248-1 00:01:08.911 --> 00:01:09.680 experience. da3e4528-6395-4c38-9b1b-044d79fdf37c-0 00:01:10.000 --> 00:01:14.060 If I look at, starting with marketing, where we're seeing agentic really take da3e4528-6395-4c38-9b1b-044d79fdf37c-1 00:01:14.060 --> 00:01:16.090 hold, it's how do we actually make the da3e4528-6395-4c38-9b1b-044d79fdf37c-2 00:01:16.090 --> 00:01:19.370 marketers better, more effective, which I think fundamentally, da3e4528-6395-4c38-9b1b-044d79fdf37c-3 00:01:19.370 --> 00:01:23.430 if you look at the same topic or same concept for sales and customer service, da3e4528-6395-4c38-9b1b-044d79fdf37c-4 00:01:23.430 --> 00:01:26.762 it allows for sellers, it allows for customer service agents to da3e4528-6395-4c38-9b1b-044d79fdf37c-5 00:01:26.762 --> 00:01:30.822 be that much more authentic and complete and knowing the customer in order to da3e4528-6395-4c38-9b1b-044d79fdf37c-6 00:01:30.822 --> 00:01:31.760 better serve them. 6244c597-685a-4530-a959-99ac89c94cb3-0 00:01:32.080 --> 00:01:34.753 I think the other piece that comes to mind is, 6244c597-685a-4530-a959-99ac89c94cb3-1 00:01:34.753 --> 00:01:38.735 as we think about go-to-market organizations across marketing, sales, 6244c597-685a-4530-a959-99ac89c94cb3-2 00:01:38.735 --> 00:01:43.286 and services—the fundamental shift in both the mindset and the operating model. 6244c597-685a-4530-a959-99ac89c94cb3-3 00:01:43.286 --> 00:01:47.666 Or the mindset that I can now interact with and work with this data and this 6244c597-685a-4530-a959-99ac89c94cb3-4 00:01:47.666 --> 00:01:52.047 agent in a way, like what ChatGPT did, that allows people to interact voice, 6244c597-685a-4530-a959-99ac89c94cb3-5 00:01:52.047 --> 00:01:53.640 text, type in your computer. 196d9ee2-209a-42d4-be2b-0c90ed2d4a46-0 00:01:53.640 --> 00:01:56.680 It traverses so many experiences now. 83b34c52-3218-46a5-8ae4-ecedd702b2fd-0 00:01:57.080 --> 00:02:00.127 And I think the other is, how's it going to implicate parts of the 83b34c52-3218-46a5-8ae4-ecedd702b2fd-1 00:02:00.127 --> 00:02:03.765 operating model, especially for sales, because it's not going to take the place 83b34c52-3218-46a5-8ae4-ecedd702b2fd-2 00:02:03.765 --> 00:02:06.085 of sales, but it's going to harness other parts of 83b34c52-3218-46a5-8ae4-ecedd702b2fd-3 00:02:06.085 --> 00:02:09.360 the value chain that sales rely on to get ready for a customer meeting. 809981eb-5fdf-42ee-b70a-178326a1eb42-0 00:02:09.760 --> 00:02:12.135 You know, one other thing I'll add on to what 809981eb-5fdf-42ee-b70a-178326a1eb42-1 00:02:12.135 --> 00:02:15.027 you're saying, which is one of the things we're finding 809981eb-5fdf-42ee-b70a-178326a1eb42-2 00:02:15.027 --> 00:02:17.920 is that a lot of selling processes are kind of squishy. ca4af578-7194-431b-b740-414b89a83de7-0 00:02:19.040 --> 00:02:23.025 Of all of the processes in an enterprise, sales seem to be the one that has the ca4af578-7194-431b-b740-414b89a83de7-1 00:02:23.025 --> 00:02:24.520 least amount of science to it. 2638ebad-8e62-45c8-89a5-6ac06a3fe631-0 00:02:25.480 --> 00:02:29.519 And so there's a lot of menial tasks that sellers end up having to do—a lot of kind 2638ebad-8e62-45c8-89a5-6ac06a3fe631-1 00:02:29.519 --> 00:02:33.269 of like interrupt-driven type tasks that take them away from the core of what 2638ebad-8e62-45c8-89a5-6ac06a3fe631-2 00:02:33.269 --> 00:02:34.520 they're trying to achieve. 290144b8-2798-49b8-b0e0-8579d30b9c41-0 00:02:34.960 --> 00:02:40.109 And so what I'm seeing in some of the early customers is that there's a 290144b8-2798-49b8-b0e0-8579d30b9c41-1 00:02:40.109 --> 00:02:45.186 significant employee benefit around moving from menial-type tasks into 290144b8-2798-49b8-b0e0-8579d30b9c41-2 00:02:45.186 --> 00:02:46.760 meaningful-type tasks. 9c09ffe8-8f3f-44aa-b084-6b623c38f7f3-0 00:02:47.040 --> 00:02:49.140 And so a lot of this is around human potential, 9c09ffe8-8f3f-44aa-b084-6b623c38f7f3-1 00:02:49.140 --> 00:02:51.241 getting the best out of the humans as you said, 9c09ffe8-8f3f-44aa-b084-6b623c38f7f3-2 00:02:51.241 --> 00:02:53.080 getting them to actually enjoy their jobs. 1ef4f37d-3ae0-4de1-81d8-fd2774de7901-0 00:02:53.080 --> 00:02:57.203 Because I know for a fact that a really well-motivated sales team, marketing team, 1ef4f37d-3ae0-4de1-81d8-fd2774de7901-1 00:02:57.203 --> 00:02:59.688 service team, they're going to do a hell of a lot 1ef4f37d-3ae0-4de1-81d8-fd2774de7901-2 00:02:59.688 --> 00:03:02.520 better than those who are stuck in the drudgery of work. 372310cc-fdb6-411e-8333-d741edaa8ba6-0 00:03:02.840 --> 00:03:06.004 And so if we can lift and elevate people's purpose, 372310cc-fdb6-411e-8333-d741edaa8ba6-1 00:03:06.004 --> 00:03:10.508 there's a huge unlock opportunity for every company there in this agentic 372310cc-fdb6-411e-8333-d741edaa8ba6-2 00:03:10.508 --> 00:03:11.360 operation era. 05a4ea66-8c2e-4629-a8a8-537d0de42ed1-0 00:03:11.680 --> 00:03:16.043 What I think about when you said that is, I think of activities for sellers as 05a4ea66-8c2e-4629-a8a8-537d0de42ed1-1 00:03:16.043 --> 00:03:19.965 value waste, value neutral, value add. Reps only want to deal with the 05a4ea66-8c2e-4629-a8a8-537d0de42ed1-2 00:03:19.965 --> 00:03:22.120 value-neutral and value-add activities. 67e62ba4-f815-4af5-8167-fbf64d716fa2-0 00:03:22.240 --> 00:03:25.760 All value waste, the administrivia, they want off their plate. e2d2d090-fa0d-403d-adb1-19bba6681c92-0 00:03:25.760 --> 00:03:28.360 They they want something to help them. 13137f09-8c7e-431a-8c1f-a82bce7e1ce3-0 00:03:28.440 --> 00:03:31.480 But I think of the frozen core and high performers. e0dfc518-7bd0-4cdf-9ab7-6e946959fda7-0 00:03:31.480 --> 00:03:35.974 We know high performers most likely don't need agents to be successful, e0dfc518-7bd0-4cdf-9ab7-6e946959fda7-1 00:03:35.974 --> 00:03:39.781 but you absolutely want to give them agents to hyper, right, e0dfc518-7bd0-4cdf-9ab7-6e946959fda7-2 00:03:39.781 --> 00:03:42.839 hyper drive their sales targets and achievement. c290d3e8-e8e7-4678-a2de-101f91985665-0 00:03:43.080 --> 00:03:46.745 But that frozen core, the ability to unlock that core and move c290d3e8-e8e7-4678-a2de-101f91985665-1 00:03:46.745 --> 00:03:51.050 it up fundamentally can change the trajectory of an organization's growth c290d3e8-e8e7-4678-a2de-101f91985665-2 00:03:51.050 --> 00:03:51.399 story. a503f08d-4d7c-4a4c-92c2-78a45d2277f1-0 00:03:51.400 --> 00:03:55.289 So I love the ability of how do you give these people that are performers more a503f08d-4d7c-4a4c-92c2-78a45d2277f1-1 00:03:55.289 --> 00:03:57.898 science. Peter, how are operating models evolving to a503f08d-4d7c-4a4c-92c2-78a45d2277f1-2 00:03:57.898 --> 00:04:01.000 support collaboration between digital agents and human talent? 2429b0ee-b217-485f-ae1f-c891fa634af8-0 00:04:01.040 --> 00:04:01.800 Great question. ed5eb849-6762-49c2-8d46-c3756455868f-0 00:04:01.800 --> 00:04:06.720 So I think we have this really unlock moment with this technology. b84de156-f293-42c9-ac9d-ab5e01d89047-0 00:04:07.200 --> 00:04:11.287 And what I've seen in many of these kind of sales, marketing, b84de156-f293-42c9-ac9d-ab5e01d89047-1 00:04:11.287 --> 00:04:16.034 and service use cases is that the top performers accelerate using their b84de156-f293-42c9-ac9d-ab5e01d89047-2 00:04:16.034 --> 00:04:16.760 technology. 2f2a7630-4b6d-43c5-b9c8-a16540c01511-0 00:04:16.760 --> 00:04:20.843 They're kind of like the first early adopters—they're the smart kind of folks 2f2a7630-4b6d-43c5-b9c8-a16540c01511-1 00:04:20.843 --> 00:04:23.461 who realize, if I just apply this little piece of 2f2a7630-4b6d-43c5-b9c8-a16540c01511-2 00:04:23.461 --> 00:04:27.178 technology into my workflow, I'm going to have my answer before anyone 2f2a7630-4b6d-43c5-b9c8-a16540c01511-3 00:04:27.178 --> 00:04:27.440 else. 5b63b14c-8bd0-40c7-87ff-8a23e28e7f23-0 00:04:27.440 --> 00:04:31.980 I'm going to be faster out of the blocks as a sprinter into the deal because you 5b63b14c-8bd0-40c7-87ff-8a23e28e7f23-1 00:04:31.980 --> 00:04:35.120 know, time kills all deals, time kills all opportunity. c523dda9-62a7-4d30-8ce4-135be9787e7e-0 00:04:35.440 --> 00:04:38.265 And so what I've noticed is that the new starters, c523dda9-62a7-4d30-8ce4-135be9787e7e-1 00:04:38.265 --> 00:04:42.641 the folks coming into the workforce, the folks who are new to the environment, c523dda9-62a7-4d30-8ce4-135be9787e7e-2 00:04:42.641 --> 00:04:47.073 those folks are really good at pattern matching and watching the great sellers, c523dda9-62a7-4d30-8ce4-135be9787e7e-3 00:04:47.073 --> 00:04:49.400 the great servicers, the great marketeers. 9ac13a73-ac9d-477c-883b-1ba6a0e6066f-0 00:04:49.680 --> 00:04:51.560 And so what they're really good at is copying. a92c3ae6-90bd-4b11-bde9-c51dae9b7e4a-0 00:04:52.200 --> 00:04:56.597 And so what I've noticed is that if we insert into the sort of the workflow this a92c3ae6-90bd-4b11-bde9-c51dae9b7e4a-1 00:04:56.597 --> 00:04:59.420 capability, we're getting a lot of people following a92c3ae6-90bd-4b11-bde9-c51dae9b7e4a-2 00:04:59.420 --> 00:04:59.800 behind. 63a73170-e993-46b0-9fd5-e6f4c46079c5-0 00:04:59.800 --> 00:05:02.960 So the operating model doesn't necessarily have to change too much. 77c0cf02-7be1-4627-b53f-57efe734c887-0 00:05:03.200 --> 00:05:07.607 What I would say is that this technology is much about humans and observing humans 77c0cf02-7be1-4627-b53f-57efe734c887-1 00:05:07.607 --> 00:05:09.360 as about implementing technology. 49ee283a-4170-420d-8aba-6b690781275e-0 00:05:09.680 --> 00:05:13.360 This is not about an information technology installation. f66011c9-bd5c-4c45-8ad2-bb35ce664522-0 00:05:13.360 --> 00:05:15.520 It's about an organizational transformation. d7fc92eb-7bb9-4424-8e9e-dace5eb16dde-0 00:05:15.520 --> 00:05:19.200 And I think we sometimes get stuck in the technology a bit too much. 8b056de2-d177-48a4-b8ff-777ccd8a4076-0 00:05:19.480 --> 00:05:22.433 We got to go back and look at the first principles of the human usage of these 8b056de2-d177-48a4-b8ff-777ccd8a4076-1 00:05:22.433 --> 00:05:22.920 technologies. 1c4973e4-c430-48e3-8950-753fe6f5c9fa-0 00:05:23.200 --> 00:05:25.045 Bryan, where are you seeing organizations 1c4973e4-c430-48e3-8950-753fe6f5c9fa-1 00:05:25.045 --> 00:05:26.760 getting stuck or even getting it wrong? 141f8ef4-e475-4110-8112-79daadc3e7fb-0 00:05:27.320 --> 00:05:30.520 So I think there's two or three things that we're fundamentally seeing. d60ae1a7-4cda-4b7b-90ad-cdfded184000-0 00:05:30.560 --> 00:05:35.520 I think one is organizations are pushing out a ton of pilots. 94a970f8-c642-4a7b-8580-f659029cd0b9-0 00:05:35.520 --> 00:05:36.680 They're going very wide. 8ebbf23b-59d4-4b6d-9210-c96fbb00b4fb-0 00:05:37.200 --> 00:05:41.617 And I always think that if you can find a discrete process, not parts of it, 8ebbf23b-59d4-4b6d-9210-c96fbb00b4fb-1 00:05:41.617 --> 00:05:45.403 but discrete process and then go incredibly deep across the data, 8ebbf23b-59d4-4b6d-9210-c96fbb00b4fb-2 00:05:45.403 --> 00:05:48.559 the analytics, the automation that's required to power 8ebbf23b-59d4-4b6d-9210-c96fbb00b4fb-3 00:05:48.559 --> 00:05:51.600 that process, you're going to find greater adoption. cd3c51f1-5fdc-46c6-8eec-9bde27cf9457-0 00:05:51.600 --> 00:05:55.960 So don't go wide, go thin, complete a process and go deep. b442894d-cc25-4c6f-ba85-4bca00dc22ae-0 00:05:56.280 --> 00:06:00.280 I think the second thing is focus matters. 04e67dba-7cce-4f87-a579-42b153700f35-0 00:06:00.320 --> 00:06:03.347 We're seeing in so many investments that are board level, 04e67dba-7cce-4f87-a579-42b153700f35-1 00:06:03.347 --> 00:06:07.522 the people who are meant to turn this on for the end user are being asked to do 04e67dba-7cce-4f87-a579-42b153700f35-2 00:06:07.522 --> 00:06:10.080 three or four different things at the same time. e04ba245-98ac-4b74-8a47-b3f567d4ac04-0 00:06:11.040 --> 00:06:15.000 Being agentic-led requires full focus. 02901ecd-ae17-4c36-b1ad-add5aadf6184-0 00:06:15.240 --> 00:06:18.040 There's so many things that we're learning and focus is required. 38b77264-4c23-422a-9933-914cdd930a96-0 00:06:18.040 --> 00:06:20.195 And they're getting stuck because they're saying, well, 38b77264-4c23-422a-9933-914cdd930a96-1 00:06:20.195 --> 00:06:22.120 I focused on two other things. And focus matters. e14f5ef2-e175-48ce-aedc-4d418187f8cf-0 00:06:22.640 --> 00:06:27.072 I think the third thing is we're seeing organizations identify value potential, e14f5ef2-e175-48ce-aedc-4d418187f8cf-1 00:06:27.072 --> 00:06:31.283 and value potential versus a very discreet value case is always going to be e14f5ef2-e175-48ce-aedc-4d418187f8cf-2 00:06:31.283 --> 00:06:35.660 important because that helps drive the focus, helps identify the process area, e14f5ef2-e175-48ce-aedc-4d418187f8cf-3 00:06:35.660 --> 00:06:39.039 and helps you go deep into the things required to unlock it. b3e11fdf-6c66-4c88-8a7c-b12effe7f113-0 00:06:39.240 --> 00:06:43.106 I'll only add the following. In our research we've been doing with b3e11fdf-6c66-4c88-8a7c-b12effe7f113-1 00:06:43.106 --> 00:06:47.318 customers over the last, say, 14, 15 months is that we saw last year was b3e11fdf-6c66-4c88-8a7c-b12effe7f113-2 00:06:47.318 --> 00:06:51.299 very much around, you know, the experimentation trying to understand b3e11fdf-6c66-4c88-8a7c-b12effe7f113-3 00:06:51.299 --> 00:06:52.800 what this technology does. 3874e1da-c3fe-4a3f-9e0e-e1c071450112-0 00:06:53.160 --> 00:06:56.600 And we were all assuming that this year would be the year of implementation. d3460294-256f-4fb9-87f6-ff1833afd005-0 00:06:57.160 --> 00:06:59.317 But we're finding that there's bumps on the way, d3460294-256f-4fb9-87f6-ff1833afd005-1 00:06:59.317 --> 00:07:02.664 exactly what Bryan was talking about like—especially your last point around d3460294-256f-4fb9-87f6-ff1833afd005-2 00:07:02.664 --> 00:07:06.320 understanding the true value of this and understanding the business applicability. 167ddec4-746f-4706-adb3-ba0985f54d86-0 00:07:06.640 --> 00:07:08.640 So here's my insight that I'm going to take away, d0550019-bfb6-4a88-b84e-40f8c89d9251-0 00:07:08.640 --> 00:07:15.800 I've taken away from the last year. We have tried to adopt this technology. 5c96348a-dffe-4fa9-b371-7c9c2b69155c-0 00:07:16.200 --> 00:07:18.647 You'll hear people using the word adopt a lot. 5c96348a-dffe-4fa9-b371-7c9c2b69155c-1 00:07:18.647 --> 00:07:21.720 And I'm beginning to think that that's not the right word. 02d47e8a-c155-4e69-87d2-2a038ee6b730-0 00:07:22.400 --> 00:07:25.920 What we should be doing is adapting to this technology. 67a6fb61-67cf-43a7-888c-740027b3c44b-0 00:07:26.120 --> 00:07:30.052 We need to look at how our business processes are organized, 67a6fb61-67cf-43a7-888c-740027b3c44b-1 00:07:30.052 --> 00:07:33.920 how our teams collaborate, how our companies are organized. 745a4cdc-5e9e-4676-9273-e8f569d2a6be-0 00:07:34.600 --> 00:07:38.617 And one of the things that came out of even the session this morning with a 745a4cdc-5e9e-4676-9273-e8f569d2a6be-1 00:07:38.617 --> 00:07:41.102 customer was, we have an annual human cycle in 745a4cdc-5e9e-4676-9273-e8f569d2a6be-2 00:07:41.102 --> 00:07:45.119 companies of budgeting and organizing and hiring and doing all the changes. f333987c-6e06-4949-aeb2-a49a34901e05-0 00:07:45.400 --> 00:07:49.351 But we've got a technology life cycle is now measured in weeks, days, f333987c-6e06-4949-aeb2-a49a34901e05-1 00:07:49.351 --> 00:07:51.440 and the two are no longer compatible. 1a85702b-675c-43eb-9824-75b113d6cf2f-0 00:07:52.080 --> 00:07:57.218 And so our ability to adapt to that massive speed cycle is now the challenge 1a85702b-675c-43eb-9824-75b113d6cf2f-1 00:07:57.218 --> 00:08:02.490 for every leader out there to make these technologies pay off the promise that 1a85702b-675c-43eb-9824-75b113d6cf2f-2 00:08:02.490 --> 00:08:04.759 we've all been hearing we can get. f7c25d5d-8e8a-42ba-895c-597c5f806621-0 00:08:05.320 --> 00:08:07.120 Peter, Bryan, thank you so much. bc19b7b1-2973-49a6-b6cf-55b7aa71f9ac-0 00:08:07.240 --> 00:08:07.960 Thank you very much. 61ac53f5-c10a-42bf-a838-f76f14eb8da4-0 00:08:08.240 --> 00:08:08.640 Thank you.