WEBVTT 00:00:00.542 --> 00:00:02.502 - One question that we get from customers 00:00:02.502 --> 00:00:06.381 is how do they really drive to value end-to-end, 00:00:06.381 --> 00:00:09.926 across business silos programmatically stitching together 00:00:09.926 --> 00:00:11.386 different parts of the business, 00:00:11.386 --> 00:00:13.805 from sales all the way to delivery? 00:00:13.805 --> 00:00:16.641 What are you seeing in terms of what really differentiates 00:00:16.641 --> 00:00:19.561 customers who are able to achieve real value 00:00:19.561 --> 00:00:22.063 from those that are still stuck in POCs? 00:00:22.063 --> 00:00:25.275 - At ServiceNow, we've been doing workflows for a while, 00:00:26.317 --> 00:00:28.611 and as you might imagine, we've thought a lot about 00:00:28.611 --> 00:00:32.198 how are we making those flows more agentic, 00:00:32.198 --> 00:00:36.911 how are we inserting AI specialists to do work? 00:00:36.911 --> 00:00:38.496 Part of the business that I'm in, 00:00:38.496 --> 00:00:41.499 we run a program called AI Agent Acceleration, 00:00:41.499 --> 00:00:44.294 where we spend time with customers, 00:00:44.294 --> 00:00:48.214 helping them with use case definition 00:00:48.214 --> 00:00:53.053 and then taking that use case into engineering, into QE 00:00:53.053 --> 00:00:55.138 and then ultimately into production. 00:00:55.138 --> 00:00:57.098 And what we find is 00:00:57.098 --> 00:00:58.808 the real make or break is 00:00:58.808 --> 00:01:02.437 how clearly you understand the use cases 00:01:02.437 --> 00:01:05.315 that you're making agentic 00:01:05.315 --> 00:01:09.402 and what are the outcomes you're looking from that use case. 00:01:09.402 --> 00:01:10.361 - Different industries, 00:01:10.361 --> 00:01:12.697 they tend to move at different paces. 00:01:12.697 --> 00:01:15.825 Where do you see kind of companies or industries 00:01:15.825 --> 00:01:20.246 able to move at a faster pace and get to value more quickly 00:01:20.246 --> 00:01:23.208 versus places that are kind of still maybe stuck, 00:01:23.208 --> 00:01:26.503 balancing risk or unsure if they're ready to invest? 00:01:26.503 --> 00:01:28.338 - What we see across industries 00:01:28.338 --> 00:01:31.466 is we see every industry accelerating 00:01:31.466 --> 00:01:34.385 toward AI-oriented use cases, 00:01:34.385 --> 00:01:36.471 but a lot of it goes back to 00:01:36.471 --> 00:01:38.473 how clearly do they understand 00:01:38.473 --> 00:01:40.183 the use case they're tackling. 00:01:40.183 --> 00:01:43.019 So we do a lot of work with retailers 00:01:43.019 --> 00:01:46.439 around store operations and how to make the store operations 00:01:46.439 --> 00:01:50.443 or task management for a store associate more agentic. 00:01:50.443 --> 00:01:53.071 We'll work with automotive companies 00:01:53.071 --> 00:01:58.076 on a warranty process or a recall process. 00:01:58.785 --> 00:02:02.205 How do you agentify that as it hits the OEM 00:02:02.205 --> 00:02:04.290 or hits the supply chain? 00:02:04.290 --> 00:02:08.294 And then similarly, as we think about technology or telco, 00:02:08.294 --> 00:02:11.256 specific use cases typically, 00:02:11.256 --> 00:02:14.759 or where the customer is accelerating into value. 00:02:14.759 --> 00:02:16.845 - You know, we've mentioned agentic a few times. 00:02:16.845 --> 00:02:20.807 I think as companies do more agentic implementation, 00:02:20.807 --> 00:02:23.560 the level of abstraction between the oversight 00:02:23.560 --> 00:02:26.437 and the actual work being done increases. 00:02:26.437 --> 00:02:28.481 So how do you see companies 00:02:28.481 --> 00:02:31.901 balancing this desire to move fast and drive to value 00:02:31.901 --> 00:02:33.403 with the continued need 00:02:33.403 --> 00:02:34.988 for governance and humans in the loop? 00:02:34.988 --> 00:02:38.491 - What we have seen and kind of pivoted to recently is, 00:02:38.491 --> 00:02:41.661 wow, there are a lot of builder tools in the market today 00:02:41.661 --> 00:02:43.872 compared to where we were three years ago. 00:02:43.872 --> 00:02:46.958 And so we have opened up our builder 00:02:46.958 --> 00:02:50.336 to allow customers to build in a Cursor, 00:02:50.336 --> 00:02:53.089 for customers to build in Replit, 00:02:53.089 --> 00:02:55.633 but then get to production 00:02:55.633 --> 00:02:58.303 through the ServiceNow builder capability. 00:02:58.303 --> 00:03:01.139 And getting the production through the ServiceNow builder 00:03:01.139 --> 00:03:02.682 ensures that you're picking up 00:03:02.682 --> 00:03:06.853 all of kind of the compliance rules and rails, if you will, 00:03:06.853 --> 00:03:08.563 from the ServiceNow platform. 00:03:08.563 --> 00:03:10.773 So you're able to move fast 00:03:11.858 --> 00:03:13.610 and get to production 00:03:13.610 --> 00:03:17.322 with a bit more confidence from a security perspective. 00:03:17.322 --> 00:03:20.867 And then also we have AI Control Tower, 00:03:20.867 --> 00:03:24.370 which then can see all of the AI agents 00:03:24.370 --> 00:03:26.247 that are going through that builder 00:03:26.247 --> 00:03:28.750 and then you can begin to manage those agents 00:03:28.750 --> 00:03:33.546 and think about what type of rules does that agent have 00:03:33.546 --> 00:03:36.216 around things they can or cannot access. 00:03:36.216 --> 00:03:41.221 And you can begin to measure agents like you would humans, 00:03:41.387 --> 00:03:44.724 meantime to resolution, customer CSAT, et cetera. 00:03:44.724 --> 00:03:45.725 - That's great. 00:03:45.725 --> 00:03:46.684 Thank you so much Blake. 00:03:46.684 --> 00:03:47.685 - Okay. Great to see you here today. 00:03:47.685 --> 00:03:48.603 - Great to be here.