WEBVTT 00:00:00.291 --> 00:00:06.131 We're at a point where labor can go infinite. Labor can be scalable, 00:00:06.131 --> 00:00:11.803 and labor can be available 24-7, 365, across the globe, on demand. 00:00:12.095 --> 00:00:17.600 And what's happening right now is a bigger shift than that—a thousand times 00:00:17.600 --> 00:00:19.436 bigger than what happened in the cloud revolution. 00:00:20.145 --> 00:00:21.521 Thank you for joining us today, Sameer. 00:00:21.688 --> 00:00:24.024 - Thanks for having me and Capita. - Great to have you. 00:00:24.691 --> 00:00:29.154 I want to dig into one point today that I've noticed working with you over the last two years or so. 00:00:29.571 --> 00:00:33.033 A lot of your, I would say, other players in the market really think 00:00:33.033 --> 00:00:36.536 about their tech stack very much—you know, bottom up, from the chips, 00:00:36.536 --> 00:00:37.537 up to the front end. 00:00:37.829 --> 00:00:39.789 I think you approach it fundamentally different. 00:00:39.789 --> 00:00:42.751 You approach it essentially top down with a process-first lens. 00:00:42.751 --> 00:00:45.837 And I think that's also partially driven by the fact that your customers or 00:00:45.837 --> 00:00:51.551 clients come to you expecting you to handle and deliver outcomes across very complex processes. 00:00:51.551 --> 00:00:54.429 Can you go a little bit more into detail on how you think about that? 00:00:54.763 --> 00:00:56.473 Let's talk about what's happening in the industry. 00:00:56.598 --> 00:00:59.642 I'm old enough to remember 2007 when the cloud first came about. 00:01:00.477 --> 00:01:01.770 And what did cloud do? 00:01:01.895 --> 00:01:07.025 It really took compute and storage infinite. It made it elastic, 00:01:07.025 --> 00:01:13.239 it made it available pretty much 24-7, 365, for anyone who wanted to use that. 00:01:13.448 --> 00:01:18.745 And what's happening right now is a bigger shift than that. 00:01:19.120 --> 00:01:25.627 We're at a point where labor can go infinite. Labor can be scalable, 00:01:25.627 --> 00:01:31.966 and labor can be available 24-7, 365, across the globe, on demand. 00:01:32.675 --> 00:01:35.303 And that, if you believe the numbers out there, 00:01:35.303 --> 00:01:37.889 and I do, is a thousand times bigger than what 00:01:37.889 --> 00:01:39.682 happened in the cloud revolution. 00:01:40.058 --> 00:01:44.104 And so when you talk about labor going infinite, 00:01:44.896 --> 00:01:50.902 you really want to look at what labor does— what are the high-value outcomes 00:01:50.902 --> 00:01:52.028 that labor delivers. 00:01:52.403 --> 00:01:58.326 So we started with a customer-first approach and really trying to understand 00:01:58.743 --> 00:02:07.669 what do our employees deliver to the UK citizenry through very hard work for the last few decades. 00:02:08.044 --> 00:02:09.045 What do they actually do? 00:02:09.045 --> 00:02:10.255 What outcomes do they deliver? 00:02:11.005 --> 00:02:16.427 And we started seeing that 60, 70, 80 percent is repetitive work, 00:02:16.427 --> 00:02:25.562 but now it's the opportunity to take away all of that mind-numbing work from our 00:02:25.562 --> 00:02:29.274 employees and allow them to focus on the high-value, empathetic items. 00:02:29.983 --> 00:02:33.528 But that starts with understanding what actually gets done. 00:02:34.112 --> 00:02:36.197 You could go look at a standard operating procedure, 00:02:36.197 --> 00:02:37.991 but that only will give you a starting point. 00:02:37.991 --> 00:02:42.203 There will be a thousand variants of that theme in production. 00:02:42.871 --> 00:02:50.378 And so capturing that telemetry of work that exists in our people's brains, 00:02:50.378 --> 00:02:53.256 that exists in their everyday routines that they execute, 00:02:53.548 --> 00:02:59.554 and then using that to "agentify" through a local platform is really where we are focusing. 00:03:00.221 --> 00:03:05.560 And we're relying on our technology partners— the hyperscalers and the data platform partners— 00:03:06.102 --> 00:03:11.024 to give us the platform to look at the telemetry of work, 00:03:11.816 --> 00:03:17.822 to understand it, to agentify it, and to increase the throughput and productivity of our employees. 00:03:17.822 --> 00:03:22.619 So think of it as a very diametrically opposing approach. 00:03:22.911 --> 00:03:26.998 We love the fact that there is trillions of dollars of investment going into the chips, 00:03:26.998 --> 00:03:30.460 into the platforms, into the data centers. 00:03:31.002 --> 00:03:32.921 Without that, we couldn't do what we do. 00:03:33.588 --> 00:03:38.927 But our value is going to come when we understand work, how to agentify work, 00:03:38.927 --> 00:03:42.096 and how to increase the throughput, and, you know, 00:03:42.096 --> 00:03:48.269 the job satisfaction of our employees, which then translates to more satisfied citizens, 00:03:48.269 --> 00:03:51.022 lower waiting times in the UK market. 00:03:51.689 --> 00:03:53.816 And that's the stat we're rolling out. 00:03:54.025 --> 00:04:01.366 And I must say that this is one of the—one of the most exciting rollouts 00:04:01.366 --> 00:04:04.744 I've been part of, and it's really resonating in the market. 00:04:04.786 --> 00:04:07.455 And thank you for all your help putting it together. 00:04:07.705 --> 00:04:12.043 Thank you. It's great to see the journey and the focus you have on the outcomes that you 00:04:12.043 --> 00:04:13.211 deliver to your clients. 00:04:13.336 --> 00:04:13.920 Thank you, Sameer. 00:04:14.295 --> 00:04:15.588 Thank you, Max, for having us again.