00:19:45 Jeanna Kozak: Accenture Team's latest book - https://www.amazon.com/Rethinking-Operating-Models-Structures-Competitive/dp/1398617962/ref=sr_1_1?sr=8-1 00:37:06 Matthew Hill: Robots and algos guide behavior, but it’s important to remember that humans are also the ones designing the robots and the agents. My two cents;-) 00:37:34 Todd Christian: Reacted to "Robots and algos gui..." with 👍 00:37:55 Kristen Belcher: Reacted to "Robots and algos gui..." with 👍 00:39:42 Todd Christian: Replying to "Robots and algos gui..."This is true...for today. 00:37:28 Todd Christian: If you don't already, follow Ethan Mollick on LinkedIn. I'm learning every single day from his posts! 00:37:38 Lindsey Fenton: Reacted to "If you don't already..." with 👍🏻 00:37:39 Mithuna Bhatt: Reacted to "If you don't already..." with ❤️ 00:37:51 Kristen Belcher: Reacted to "If you don't already..." with ❤️ 00:38:14 Andrew Freedman: Reacted to "If you don't already..." with ❤️ 00:38:22 Anna Lawton: Reacted to "If you don't already..." with 👍🏻 00:39:03 Laura Gramling: Reacted to "If you don't already..." with 👍🏻 00:47:57 Laura Blomberg: Reacted to "If you don't already..." with 👍 00:48:48 Ramona Elena Cherciu: Reacted to "If you don't already..." with 👀 00:48:06 Kristen Belcher: A “reverse Conway maneuver” ;) design your org based on your technology 00:49:10 Todd Christian: Replying to "A “reverse Conway ma..."There are business models being built because technology exists...so it is a little chicken and the egg. 00:49:46 Kristen Belcher: Reacted to "There are business m..." with 🐣 00:49:50 Wendy Bowers: so lateral connections remain a critical consideration. struggle now…so why would computer scientists be any better at it? 00:50:04 Kristen Belcher: Reacted to "so lateral connectio..." with 😂 & 💯 00:51:04 Lindsey Fenton: Org design concepts are very difficult for highly intelligent executives to wrap their brains around so it makes sense the computer scientists are stumped or don't even think about it 00:51:11 Nancy Arduengo: When does AI move from a sophisticated tool to something that uses people as the tool? 00:51:24 Lindsey Fenton: Reacted to "When does AI move fr..." with ❗ 00:51:26 Kristen Belcher: Reacted to "When does AI move fr..." with 😲 00:52:31 Graham Hall: What are some of the ways you’ve seen orgs using AI to condition new lateral connections / social capital across an org network that is sustainable in continuum? 00:53:39 Lindsey Fenton: Reacted to "What are some of the..." with 👍🏻 00:54:48 Kristen Belcher: Reacted to "What are some of the..." with 👍🏻 00:58:59 Kent McMillan: Replying to "What are some of the..." A couple of examples. We are seeing skills graphs and AI buddies making connections to people across the organization with relevant knowledge and skills. Also thinking about things like reinvention of integrated business planning where the machines maintain the corporate memory of what worked and what didn’t and gathering inputs from much wider stakeholders than the top down leadership to identify opportunities and adjustments to strategy and plan 01:01:19 Kathryn Robertson: Reacted to "A couple of examples..." with ❤️ 01:01:30 Graham Hall: Replying to "What are some of the..."Mmmmm, so the AI is prompting connections, organizing information amongst knowledge holders (i.e. creating a group chat). Specifically, are there any examples of AI supporting in developing connections though once the prompt / organizing body is made? 00:53:08 Ana Coronel: If data scientists are creating an org structure in the virtual world; what is your view on the movement away from Org Charts to move networked teams in the physical world. 01:02:47 Kent McMillan: Replying to "If data scientists a..." Workflow is going to be a key to understanding how the work will be done and interactions. Some like Microsoft have proposed Workcharts, but havent seen perfect answer yet. Certainly believe more networked teams will be enabled. 00:53:14 Nancy Arduengo: Doesn't AI as it exists now rely on how it is actually programmed? 00:57:25 Lindsey Fenton: the "but higher skill levels" that's where I see myself and others struggling - what are those skills, how do I develop them, where and when. My organization continues to struggle with thinking AI is "IT's job." 00:58:59 Ellyn Shaffner: Reacted to "the "but higher sk..." with ‼️ 01:09:21 Todd Christian: Replying to "the "but higher skil..." This is context dependent: It will be based on what your job is, and what of your work is now Agentic-enabled. For the accounts receivable analysts I mentioned, things like pattern recognition are increasingly important. For you and me as org design professionals, I think it's increasing our need to be fluent is using GenAI tools to begin a diagnostic, for example. 01:10:00 Wendy Bowers: Reacted to "This is context depe..." with 👍 01:10:25 Lindsey Fenton: Reacted to "This is context depe..." with 👍🏻 01:10:55 Graham Hall: Replying to "the "but higher skil..."This is broad, but usually you hear emphasis ‘people’ skills, pattern recognition as Todd says, systems thinking, etc. 01:12:14 Lindsey Fenton: Replying to "the "but higher skil..."@Graham Hall agreed, but I think that is the concept people are struggling with. They think "I need AI skills. What are AI skills" when it may be more how you apply the AI but a deeper need for uniquely human skills 01:13:01 Graham Hall: Replying to "the "but higher skil..."Exactly 01:13:15 Kristen Belcher:Replying to "the "but higher skil..."Yes to “uniquely human skills” ❤️ 01:13:22 Graham Hall: Replying to "the "but higher skil..."And flawed EQ programs and workshops are all the investment most companies ever make in these 01:13:30 Lindsey Fenton: Reacted to "And flawed EQ progra..." with ❗ 01:14:11 Graham Hall: Replying to "the "but higher skil..."So much low hanging fruit here. So the individual is left to figure out what those deeply human skills are and develop them haphazardly themselves 00:58:43 Daisy Veciana: If most organizations are doing this, would that mean there’s more competition between companies, I just picture many entrepreneur ventures happening because of this. and that begs the question, what would that mean for the economy? 01:08:46 Kent McMillan: Replying to "If most organization..."Fully, a big topic for me is while AI will raise productivity a strategic choice needs made by companies - better offer, new offer, or reduce cost. Answer will be different for different companies and their strategies. Also believe as you say very likely not everyone will make the leap and new entrepreneurs will spot the new ways to make value before others. Taking a positive view we see net a positive overall for the economy, but lots of questions and challenges it will pose to get there and how fast. Great to hear the thoughts of all on here who are leading the way on org design. 01:00:04 Kristen Belcher: This definitely looks like a classic “team of 3” triad in agile software development… interesting! 01:01:17 Todd Christian: Reacted to "This definitely look..." with 👍 01:00:06 Ibrahim Nasmyth: Appreciate that take, Todd. the need for a new class of product managers to drive / optimize these AI tools. 01:00:44 Diana Mohan: At what layer of the organization does the pod structure emerge? 01:01:24 Vera Zhang: Reacted to "At what layer of the..." with ➕ 01:05:04 Todd Christian: Replying to "At what layer of the..." We're seeing this usually 2 and 3 levels above the very front line - so typically what I've seen called Managers, Directors and Vice Presidents. They need to be close enough to really know the work, but high enough that they can make decisions that have systemic impact. 01:01:32 Nancy Arduengo: treating AI Agents as "teammates" will make for an interesting potluck lunch event. lol 01:01:45 Lindsey Fenton: Reacted to "treating AI Agents a..." with 😂 01:01:50 Anna English: Reacted to "treating AI Agents a..." with 😂 01:01:52 Daisy Veciana: Reacted to "treating AI Agents a..." with 😂 01:02:00 Laura Gramling: Reacted to "treating AI Agents a..." with 😂 01:02:49 Ramona Elena Cherciu: Reacted to "treating AI Agents a..." with 😂 01:02:51 Lindsey Fenton: Replying to "treating AI Agents a..."I've named my AI buddy "Shirley" and now my coworkers refer to Shirley too. "Have Shirley look at this to do..." 01:09:29 Kent McMillan: Reacted to "treating AI Agents a..." with 😂 01:02:01 Ana Coronel: Do you think ERP systems will be eventually replaced by the orchestration of agents technology and storage data solutions? 01:11:05 Todd Christian: Replying to "Do you think ERP sys..."I suspect ERPs will be around for a while - at the core, you need a system of record. But I agree with the sentiment that we probably won't need the same degree of monolithic systems that ERPs have become today! 01:02:23 Thomas Krause: Gets easier as soon as agents have a body. 01:03:18 Nancy Arduengo: Replying to "Gets easier as soon ..."They "will be back" 01:04:30 Lindsey Fenton: Reacted to "They "will be back"" with 😂 01:12:00 Todd Christian: Reacted to "They "will be back"" with 😲 01:08:59 Wendy Bowers: Interesting…however, Org data that is public is usually insufficient. Starting point…but not at op model, value stream level. 01:13:34 Todd Christian: Replying to "Interesting…however,..."100%...and I've found that it gave me an excellent running start on sharper interview questions and a running start on hypotheses for problems to solve and even capabilities and design criteria. 01:14:06 Nancy Arduengo: Reacted to "Interesting…however,..."with 🤨 01:15:10 Kent McMillan: Replying to "Interesting…however,..."We also feed in to private Enterprise GPT client data as we work with them. This is in a walled garden so not even leaving instance used for that client. 01:10:34 Nancy Arduengo: How does my tag line that I "help organizations become more human-centric" fit in the AI-Agentic world? 01:14:38 Todd Christian: Replying to "How does my tag line..." I think our jobs are still 'engineering human performance at scale'. AI is an enabler. And yeah, in some ways it's just another industrial revolution in terms of performing work that humans had to perform until now. 01:15:22 Laura Gramling: Replying to "How does my tag line..."I think the technology itself is not the answer to growth and productivity. It’s the leaders and staff collaboration to reimagine the work, structures, incentives, etc. Still very much a human-centered discussion. HRB just wrote an article on this. “A recent October 2025 Harvard Business Review article, 5 Critical Skills Leaders Need in the Age of AI, highlights this challenge: The failure to capture value from new technologies is rarely about the technology. Instead, it’s typically about failing to align your technology to your value proposition, and missing the opportunity to leverage technology to change the organization. Underneath it all lies a challenge for leadership and organizational capacity. Efforts fail because organizations don’t adapt their processes, and because teams don’t change how they work.” 01:17:18 Nancy Arduengo: Replying to "How does my tag line..."I totally agree. I am very excited about utilizing AI as a powerful tool and it does deserve a measure of caution and respecting how it can be misused. 01:17:28 Laura Gramling: Reacted to "I totally agree. I a..." with 👍 01:12:06 Bruce Mabee: The stakeholder element: Are there ways that you see AI "empowering the masses" toward wider stakeholder participation in leadership? In my current work, much greater emphasis is being placed on wider stakeholder outcomes -- health, distributed finances (non-poverty), influence -- of employees, communities, and the plights of other parts of the world. 01:12:44 Lindsey Fenton: Reacted to "The stakeholder elem..." with ➕ 01:12:57 Ramona Elena Cherciu: Reacted to "The stakeholder elem..." with ❤️ 01:15:33 Todd Christian: Replying to "The stakeholder elem..." We've been wondering if we could use Agentic tools to exponentially include stakeholders in a way we haven't typically until now. 01:16:55 Bruce Mabee: Replying to "The stakeholder elem..."That's the kind of thing, Todd, that AI can massively increase, I expect! 01:12:31 Kristen Belcher: We’ve done that (created custom internal GPTs) with our internal docs & products, etc. Thanks for mentioning data curation - that is definitely an issue that we have run into 01:12:56 Lindsey Fenton: Reacted to "We’ve done that (cre..." with ❗ 01:13:06 Wendy Bowers: Will companies be able to do this anlysis and “think tank” on their own? example i’ve come across: Internal strategists who are using AI to be their “consultant” versus hiring one. asking the probing questions, setting up hypotheses… 01:14:12 Ana Coronel: Interesting the use of custom GPTs. You mentioned creating consistency but how does each person’s knowledge of prompting introduces variation? 01:16:00 Kristen Belcher: Curious how you see the link between current learning vs. foresight driven innovation playing out in innovations? If we just keep looking ahead, are we honoring what we’ve experienced and explored and finding synthesis for the humans in the loop? 01:17:47 Laura Gramling: Thanks for the session! 01:18:22 Ana Coronel: Thank you so much! 01:18:26 Betzi Kuriakose: Thank you 01:18:39 Kristen Belcher: Thank you! This has been very insightful 🙂 01:18:48 Anna Lawton: Many thanks, everyone - super interesting 01:18:58 Mithuna Bhatt: AI augments our teams - 100% that we should always fact check and pressure test what we generate! 01:19:02 Nancy Arduengo: what is the theme for the 2026 Conference? 01:19:38 Tanya - ODF Admin: Replying to "what is the theme fo..."Transforming in Motion: Design for Continuous Evolution - link to the Call details https://organizationdesignforum.org/2025/10/2026-conf-call/ 01:19:53 Tanya - ODF Admin: Replying to "what is the theme fo..."April 28 - 30 in downtown Pittsburgh, PA 01:19:09 Ibrahim Nasmyth: Thank you, Kent, Todd & Mithuna. Grateful for the POV, case study and demos! Thanks ODF! 01:19:13 Sonija Savage: Many thanks 01:19:20 Rachel DeMuth: Thank you! 01:19:26 Graham Hall: Thanks Tanya, thanks Accenture group. Appreciate the capacity. 01:20:04 Daisy Veciana: Thank you for all this information! Appreciate it. 01:20:26 Maria Rosario Valencia Correa: Thank you 01:20:31 Matthew Hill: Thank you Kent, Todd, and Mithuna! 01:20:35 David Clements: thanks all- really good session . Fantastic! 01:23:08 Graham Hall: I appreciate those examples, how does that facilitate developing a personal / professional connection? We’re leading them to water, how we are conditioning people to drink once the AI prompts people together? Does that make sense? 01:25:38 Mirjam Siderius: Would you not continue to use sourcing strategies fro that? 01:25:44 Ramona Elena Cherciu: Thank you all, lots to ponder on. Especially on the whole scale approach, and considering the old-saying "we need to go slow to go far". :) 01:26:12 Kent McMillan: Reacted to "Thank you all, lots ..." with 👍 01:26:16 Graham Hall: OK, thanks team. Perhaps we can continue a conversation offline. Appreciate you lending your time and capacity here. 01:30:04 Mirjam Siderius: Thank you! 01:30:19 Ali Semiz: Thank you! 01:17:08 Mithuna Bhatt: https://www.accenture.com/us-en/insights/consulting/learning-reinvented-accelerating-human-ai-collaboration 01:18:36 Kent McMillan: Kent.mcmillan@accenture.com, Todd.christian@accenture.com, Mithuna.bhatt@accenture.com 01:20:30 Mithuna Bhatt: This is our Intelligent Org Accelerator capability: https://www.accenture.com/us-en/services/talent-organization/operating-model-organization-design/intelligent-organization-accelerator