WEBVTT 00:00:08.041 --> 00:00:11.044 When everyone has technology, 00:00:12.145 --> 00:00:16.850 even the fastest movers soon become one of many. 00:00:18.818 --> 00:00:23.456 Speed only works until democratization levels the field, 00:00:24.224 --> 00:00:27.127 by which time it's too late to invest 00:00:27.127 --> 00:00:28.630 in the best competitive edge: 00:00:30.196 --> 00:00:32.766 The human edge, 00:00:32.766 --> 00:00:38.371 where judgment meets empathy and ambition drives ingenuity. 00:00:38.738 --> 00:00:44.110 In today's world of work, machines accelerate those capabilities, 00:00:44.110 --> 00:00:46.946 forcing us to find new potential 00:00:46.946 --> 00:00:49.949 to continuously adapt that edge. 00:00:51.151 --> 00:00:54.487 That's why we bring together humans and machines 00:00:55.321 --> 00:00:59.626 to help organizations continuously scale how they create value. 00:01:00.226 --> 00:01:03.596 Where the science of people unlocks the human edge, 00:01:04.664 --> 00:01:07.667 AI solutions transform it 00:01:09.102 --> 00:01:12.305 because the future belongs to those who design work 00:01:12.639 --> 00:01:15.108 with this edge in mind. 00:01:15.108 --> 00:01:18.111 Scale your human edge. 00:01:25.452 --> 00:01:28.254 You've just seen solutions powered by AI 00:01:28.254 --> 00:01:30.924 that are transforming industries and government, 00:01:31.724 --> 00:01:32.926 but let me take a step back 00:01:32.926 --> 00:01:36.029 to focus on questions we hear from leaders across every industry, 00:01:36.763 --> 00:01:39.766 where can I find the biggest efficiency gains from AI? 00:01:40.333 --> 00:01:44.070 How do I integrate AI into existing processes effectively? 00:01:44.904 --> 00:01:48.641 How do I build a culture that actually embraces AI adoption? 00:01:49.442 --> 00:01:51.411 These questions reveal something crucial. 00:01:52.011 --> 00:01:54.814 Organizations recognize AI's potential, 00:01:54.814 --> 00:01:57.817 but they're searching for the right approach to unlock it, 00:01:57.917 --> 00:02:01.754 and here's what we've discovered. AI value realization 00:02:01.754 --> 00:02:05.358 isn't only a technology problem, it's a work design problem. 00:02:06.192 --> 00:02:09.963 The organizations that win aren't just deploying AI the fastest, 00:02:10.763 --> 00:02:13.800 they're the ones redesigning how work gets done to harness 00:02:13.800 --> 00:02:17.203 both human and machine capabilities together. 00:02:18.571 --> 00:02:20.073 So, consider this reality. 00:02:20.073 --> 00:02:23.610 When everyone has access to the same AI models, 00:02:23.610 --> 00:02:26.613 the same cloud infrastructure, the same tools, 00:02:27.080 --> 00:02:28.782 what becomes your competitive edge? 00:02:29.782 --> 00:02:31.084 So, let's anchor on what remains 00:02:31.084 --> 00:02:34.521 constant for organizations even as technology accelerates. 00:02:34.988 --> 00:02:38.892 Enterprises will always exist to fulfill their core mission. 00:02:38.892 --> 00:02:42.662 They will always seek efficiency and acceleration as competitive advantages, 00:02:43.229 --> 00:02:46.766 and critically, even as AI becomes ubiquitous, 00:02:47.167 --> 00:02:50.470 humans, humans remain that scalable edge. 00:02:51.004 --> 00:02:56.042 Human ingenuity, judgment, empathy, ambition, 00:02:56.042 --> 00:02:59.512 these capabilities become more valuable, not less 00:02:59.913 --> 00:03:02.348 in an AI-enabled world, 00:03:02.348 --> 00:03:06.519 but we need to deliberately design work to unlock these capabilities 00:03:06.519 --> 00:03:10.523 in combination with machines, not in competition with them, 00:03:12.158 --> 00:03:15.128 and this is where Deloitte's approach differs from others. 00:03:15.128 --> 00:03:19.999 We don't just implement AI, we redesign the work itself, 00:03:19.999 --> 00:03:23.002 and this is a discipline that requires real expertise. 00:03:23.069 --> 00:03:25.772 It's science and art together. 00:03:25.772 --> 00:03:28.808 It means understanding where AI disruption affects 00:03:28.808 --> 00:03:31.811 people and jobs at the task level. 00:03:31.811 --> 00:03:34.380 It's assessing human necessity, 00:03:34.380 --> 00:03:37.717 what does that uniquely human work beyond simple automation potential, 00:03:38.484 --> 00:03:40.620 and it is about designing minimum 00:03:40.620 --> 00:03:43.890 viable workflows that combine those human and machine capabilities, 00:03:44.791 --> 00:03:48.461 creating new operating models and metrics that sustain this new way of working. 00:03:49.562 --> 00:03:50.797 That's why today, I'm excited 00:03:50.797 --> 00:03:53.833 to announce our Integrated Work Design Suite that includes 00:03:53.833 --> 00:03:57.570 four platform modules that organizations can take advantage of today. 00:03:59.005 --> 00:04:02.008 First, our Workforce Analyzer. 00:04:02.275 --> 00:04:06.813 It is your go-to tool designed to help you understand the disruption 00:04:07.146 --> 00:04:10.149 potential of AI within your organization. 00:04:10.883 --> 00:04:13.886 By mapping job architectures to individual tasks, 00:04:14.153 --> 00:04:17.657 it delivers an in-depth report that quantifies 00:04:17.657 --> 00:04:20.660 AI's impact on roles and functions. 00:04:21.661 --> 00:04:24.731 Workforce Analyzer can empower you to identify 00:04:25.398 --> 00:04:28.201 high-disruption employee segments, 00:04:28.201 --> 00:04:34.374 pinpoint areas of disproportionate value, and make informed decisions 00:04:34.374 --> 00:04:37.377 about talent strategies and AI integration. 00:04:38.211 --> 00:04:40.314 We've done this with a number of organizations. 00:04:40.314 --> 00:04:45.116 One, the Employee Success Team, aka the HR team at Salesforce, 00:04:45.116 --> 00:04:50.156 engaged Deloitte to understand AI potential impacts on their organization. 00:04:50.490 --> 00:04:54.861 Using Workforce Analyzer, we identified that the majority of their workforce 00:04:54.861 --> 00:04:59.299 can have work task activities that will be augmented by technology, 00:05:00.033 --> 00:05:04.470 enabling Salesforce to begin to redesign their workforce and design new workforce 00:05:04.470 --> 00:05:07.407 strategies, new jobs, new roles, new ways of working 00:05:07.407 --> 00:05:11.210 that prepare their future workforce to be fully enabled with AI. 00:05:13.379 --> 00:05:16.382 So, that's the power of Workforce Analyzer. 00:05:16.449 --> 00:05:20.717 Our workforce x the AI Integration Studio then lets you simulate 00:05:20.717 --> 00:05:25.224 the business impact of AI initiatives before you invest in technology, 00:05:25.591 --> 00:05:29.562 pinpointing those trade-offs between workforce risks and other items. 00:05:30.363 --> 00:05:34.801 Leaders can test decisions like building versus buying technology 00:05:35.301 --> 00:05:39.072 and see the implications for that in ROI, cost, and performance. 00:05:39.872 --> 00:05:43.643 The result is clear, a road map from experimentation 00:05:43.643 --> 00:05:47.013 to execution that drives tangible value for your organization. 00:05:48.548 --> 00:05:52.885 Our third module within our Work Design Studio is our Work Design Canvas. 00:05:53.186 --> 00:05:56.522 It's an essential element in your AI-driven transformation approach. 00:05:57.123 --> 00:06:01.627 After you've analyzed those potential AI impacts for tasks and jobs, 00:06:02.295 --> 00:06:05.698 you can then use the suite of tools to model and simulate outcomes. 00:06:05.698 --> 00:06:07.600 The Work Design Canvas empowers you 00:06:07.600 --> 00:06:10.603 to redesign that work within your chosen business function. 00:06:11.371 --> 00:06:16.075 Importantly, just like our AI solutions, these tools are designed to be iterative, 00:06:16.342 --> 00:06:19.480 supporting ongoing refinement and continuous improvement. 00:06:19.480 --> 00:06:25.051 It ensures transformation remains strategic, adaptive, and sustainable over time. 00:06:26.652 --> 00:06:30.857 Lastly, the fourth module is our Organization Digital Twin. 00:06:31.557 --> 00:06:34.961 It is a real-time simulation engine that transforms 00:06:34.961 --> 00:06:38.264 disconnected data into actionable insights, 00:06:39.198 --> 00:06:43.201 helping you navigate disruption, invest strategically, 00:06:43.201 --> 00:06:45.571 and upskill your workforce with confidence. 00:06:46.606 --> 00:06:51.444 Organizations can pressure test AI investment opportunities before committing. 00:06:51.444 --> 00:06:54.814 They can see operating model impacts, such as if I change my 00:06:54.814 --> 00:06:57.950 insource/outsource decisions or my location footprint strategy 00:06:57.950 --> 00:07:01.621 as I invest in technology, and they can adjust those strategies accordingly. 00:07:02.488 --> 00:07:06.192 Organization Digital Twin instantly shows impacts and answers questions, 00:07:06.192 --> 00:07:09.195 giving you a competitive edge in a rapidly changing world. 00:07:10.997 --> 00:07:14.167 So, in a world where technology is increasingly democratized, 00:07:14.634 --> 00:07:17.637 the value of human potential just went up. 00:07:18.204 --> 00:07:23.109 When everyone has technology, even the fastest movers become one of many. 00:07:23.176 --> 00:07:27.747 Speed only works until democratization levels the field, by which time 00:07:27.747 --> 00:07:31.250 it's too late to invest in the best competitive edge, the human edge. 00:07:32.018 --> 00:07:35.421 So, where judgment meets empathy and where ambition drives 00:07:35.421 --> 00:07:38.558 ingenuity, machines accelerate those capabilities, 00:07:38.591 --> 00:07:43.162 forcing us to find new potential and continuously adapt to that edge 00:07:43.763 --> 00:07:48.935 because humans and machines together will outperform machines alone, every time. 00:07:49.502 --> 00:07:51.971 So, with that, I would like to welcome Brett back to the stage. 00:08:02.148 --> 00:08:04.717 So, the human edge certainly becomes more valuable 00:08:04.717 --> 00:08:09.088 when we free people from repetitive work and unleash human ingenuity, 00:08:09.555 --> 00:08:12.525 and that's exactly what Zora AI does. 00:08:12.525 --> 00:08:15.328 It handles the heavy lifting so your teams can focus 00:08:15.328 --> 00:08:18.331 on judgment, creativity, and strategic thinking. 00:08:18.698 --> 00:08:21.268 I want to introduce Ranjit Bawa to take us through 00:08:21.268 --> 00:08:23.705 our latest Zora AI announcements. Ranjit. 00:08:32.311 --> 00:08:35.749 As AI shapes how work gets done, success will come from 00:08:35.749 --> 00:08:40.486 how we apply it, initially to free up time from repetitive work, 00:08:40.486 --> 00:08:44.823 but eventually to really reimagine processes and capabilities, but also 00:08:44.823 --> 00:08:48.629 to create new opportunities for growth and net accretive revenue models. 00:08:50.263 --> 00:08:54.800 The result, across functions, your teams are navigating the same challenge: 00:08:54.834 --> 00:08:58.538 too many manual steps, disconnected systems, fragmented data, 00:08:59.338 --> 00:09:02.341 and too little time to work that really moves the business forward, 00:09:02.475 --> 00:09:05.078 and if you really think about it, the AI curve, 00:09:05.078 --> 00:09:08.581 price performance curve continues to drive dive down. 00:09:08.714 --> 00:09:12.852 As AI matures, our understanding of AI and the application of AI also matures. 00:09:13.152 --> 00:09:18.791 So, we needed a solution that not only has the rigor, the quality of a product, 00:09:18.791 --> 00:09:21.794 but also the agility and scalability of a platform. 00:09:21.827 --> 00:09:23.429 Hence, Zora AI. 00:09:24.363 --> 00:09:26.599 Particularly as we contract to business outcomes, 00:09:26.599 --> 00:09:30.670 a multi-agent platform builds, deploys, and governs digital agents 00:09:30.670 --> 00:09:34.440 to work alongside your teams, designed to automate, augment, 00:09:34.440 --> 00:09:37.443 and eventually reimagine business processes and capabilities. 00:09:38.044 --> 00:09:42.248 These agents are specialized software workers designed to handle complex 00:09:42.248 --> 00:09:46.619 business tasks in enterprise functions such as finance, but very soon 00:09:46.886 --> 00:09:51.023 sourcing, procurement, cyber, talent, and various other enterprise functions. 00:09:51.691 --> 00:09:54.493 The agents collaborate in a continuous cycle, 00:09:54.493 --> 00:09:57.630 perceiving real-time data reasoning through analytical models, 00:09:57.830 --> 00:10:00.833 acting to execute workflows from beginning to end. 00:10:00.933 --> 00:10:03.936 The result, fewer loops, shorter cycles, 00:10:04.003 --> 00:10:07.373 the capacity back to the businesses so they can really focus 00:10:07.373 --> 00:10:09.275 on the things that really matter. 00:10:09.275 --> 00:10:12.878 Today, I am super-excited to announce two recent 00:10:12.878 --> 00:10:16.148 releases of Zora: Zora Advise and Zora Perform. 00:10:16.582 --> 00:10:18.718 Both are available for GA. 00:10:18.718 --> 00:10:22.388 We started with finance as the core engine behind the enterprise, 00:10:22.822 --> 00:10:27.126 given our extensive expertise across tax, accounting, and finance transformation. 00:10:27.660 --> 00:10:31.297 So, first, Zora Advise, particularly CFO Insights. 00:10:31.764 --> 00:10:36.402 Part of Zora Advise is a set of product suite that transforms executive 00:10:36.402 --> 00:10:40.339 reporting into dynamic, personalized intelligence, delivering the why 00:10:40.673 --> 00:10:43.676 behind the numbers and recommending what to do next, 00:10:44.210 --> 00:10:47.913 and Zora Perform and its suite of capabilities handles 00:10:47.913 --> 00:10:51.951 heavy lifting in finance operations, autonomously processing invoices, 00:10:52.184 --> 00:10:56.255 closing the books faster, and maintaining accuracy across your financial systems. 00:10:57.523 --> 00:10:58.724 So, what really makes Zora 00:10:58.724 --> 00:11:01.727 powerful is how it works with the systems you already have. 00:11:01.861 --> 00:11:05.064 It's designed to keep pace with the evolving technology landscape, 00:11:05.197 --> 00:11:08.200 particularly design an open-source technology, 00:11:08.701 --> 00:11:12.672 which means it can really leverage the best models available to us, 00:11:12.672 --> 00:11:13.773 whether it's Llama 00:11:13.773 --> 00:11:17.576 or Open AI, open source, or various other models available globally, 00:11:17.877 --> 00:11:23.115 but also it works with key technology stacks, such as SAP, ServiceNow, Oracle. 00:11:23.282 --> 00:11:28.254 It can run on all major cloud providers, AWS, Google, Oracle Cloud, and the rest, 00:11:28.254 --> 00:11:31.257 but it also connects directly to your business applications. 00:11:32.391 --> 00:11:36.028 Not only that, it also operates in the sovereign cloud environment 00:11:36.028 --> 00:11:39.632 and the private cloud infrastructure, whether it's with HPE or Dell. 00:11:41.033 --> 00:11:43.102 So, let me take a minute to bring this to life. 00:11:44.403 --> 00:11:49.175 Hewlett Packard Enterprise, a big client of ours, recently reinvented the executive 00:11:49.175 --> 00:11:53.512 reporting with CFO Insights from Zora, part of our Zora Advise Suite, 00:11:54.580 --> 00:11:57.516 turning performance reviews into a personalized news feed 00:11:57.516 --> 00:12:00.519 that surfaces what matters the most. 00:12:00.619 --> 00:12:05.324 The impact includes 50% faster reporting from data to decisions, 00:12:05.725 --> 00:12:11.831 25% lower processing cost, optimizing install and time to value, 00:12:12.264 --> 00:12:14.100 and both built in recommendations 00:12:14.100 --> 00:12:16.802 what's happening and what to do about it. 00:12:16.802 --> 00:12:20.072 With Zora Perform, invoice management agents automatically 00:12:20.072 --> 00:12:23.442 review and validate every invoice, spotting patterns, 00:12:23.442 --> 00:12:25.446 catching errors, flagging issues, 00:12:25.446 --> 00:12:31.350 75% fewer reconciliation errors on average, up to 75% reduction 00:12:31.350 --> 00:12:36.122 in data operations costs, and 85% less time spent on troubleshooting, 00:12:36.388 --> 00:12:39.658 all resulting in a two- to four-day reduction in close time. 00:12:41.460 --> 00:12:44.029 We're not just building these for our clients, 00:12:44.029 --> 00:12:45.931 we're also applying them to ourselves, 00:12:46.932 --> 00:12:50.736 and Zora AI is now also live in our own finance operations. 00:12:50.736 --> 00:12:55.174 Our finance teams are using Zora AI the same way HPE does, getting instant 00:12:55.174 --> 00:12:59.011 answers to financial questions, built-in explanations and recommendations, 00:12:59.178 --> 00:13:03.182 but more so they're also helping us make it better with active feedback 00:13:03.349 --> 00:13:04.950 and a closed feedback loop 00:13:04.950 --> 00:13:08.021 around functionality that improves with every release. 00:13:08.021 --> 00:13:11.891 To the users, it feels instant, but behind the scene, 00:13:11.891 --> 00:13:15.795 there's a coordinated team of digital workers collaborating at machine speed. 00:13:16.762 --> 00:13:20.566 Deloitte is committed to redefining professional services in the age of AI. 00:13:21.567 --> 00:13:25.004 So, from Converge, which is solving mission-critical challenges 00:13:25.004 --> 00:13:29.208 across every major industry segment in place for the last 12 years 00:13:29.208 --> 00:13:32.344 with proven track record across 30-plus countries, 00:13:32.344 --> 00:13:35.981 to Zora, our digital workforce transforming finance functions, 00:13:35.981 --> 00:13:38.984 but various other functions across the enterprise. 00:13:39.151 --> 00:13:43.022 This is how we will deliver trusted, secure outcomes at scale 00:13:43.422 --> 00:13:46.792 through platforms working right now. With the market 00:13:46.792 --> 00:13:50.396 changing so rapidly, there continues to be numerous areas of opportunity. 00:13:51.030 --> 00:13:52.765 We're up for that challenge, 00:13:52.765 --> 00:13:56.402 not just to keep pace with AI, but lead the transformation. 00:13:56.402 --> 00:14:01.402 (end)