Workforce Transformation

Why organisations work with Zack Kass He built the commercial engine inside OpenAI that translated frontier research into deployed products, which is a different vantage point from any external futurist or consultant. His “Unmetered Intelligence” framework gives boards a concrete way to plan for AI as infrastructure, not as a vendor decision, and it travels into capital allocation conversations rather than staying inside the IT function. He works directly with the leadership teams of named global organisations, including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, and Amgen, so the room recognises that the playbook has been pressure-tested against companies they compete with. His Wiley book, The Next Renaissance, is a USA Today, Publishers Weekly, and LA Times bestseller, which gives a CHRO or CIO a coherent reference for their executive team and not only a keynote. He is a recurring voice on Bloomberg and CNBC on AI risk, capital, and workforce impact, so the credibility check a buyer does after the call confirms the brief. Biography highlights Former Head of Go-To-Market at OpenAI; built the sales, partnerships, and customer success teams. Author of The Next Renaissance: AI and the Expansion of Human Potential (Wiley, 2026); USA Today, Publishers Weekly, and LA Times bestseller. Executive-in-Residence, University of Virginia McIntire School of Commerce. Founder of ZKAI LLC; author of the “Unmetered Intelligence” white paper. Advisor to Fortune 1,000 leadership teams including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford. Recurring AI commentator for Bloomberg and CNBC; bylined contributor to Fortune. B.A., University of California, Berkeley. Biography OpenAI’s research only became a market because someone had to translate model weights into contracts, support, and adoption inside the world’s largest companies. That commercial scaffolding was built by the team Kass led as Head of Go-To-Market, and it is the unusual seat that shapes what he now offers to boards. The proposition is operational. Most leadership teams have approved AI pilots. Few have made the harder decisions about where intelligence sits in the workflow, who is accountable for outcomes, and what gets reorganised when cognitive capacity stops being scarce. Kass writes about that shift in his Wiley book, The Next Renaissance, and codifies it in his “Unmetered Intelligence” framework, which treats AI as infrastructure on the order of electricity rather than as a product category. The advisory base is concrete. Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford have all worked with him directly, and the case studies that surface in his keynotes are drawn from those rooms. Bloomberg and CNBC use him as a recurring voice on AI risk and capital allocation, and his Fortune writing pushes the same argument into wider business debate. He is also Executive-in-Residence at UVA McIntire, which keeps the research and the boardroom work on the same circuit. What boards take from him is a sharper read on the next two to three years of AI deployment, written in the language of operating decisions rather than technical features. The choices around workforce, capital, and capability sequencing are no longer theoretical for most executive teams, and Kass is one of the few voices who has watched them get made from the inside of the company that triggered them. Key speaking topics Applied AI strategy for Fortune 1,000 leadership teams The Unmetered Intelligence thesis AI deployment beyond pilots Workforce redesign in the age of AI The Next Renaissance: AI and human potential AI risk, regulation, and board governance Capital allocation and AI infrastructure Ideal for CEOs, CIOs, CTOs, and CHROs setting enterprise AI strategy Boards and audit committees pressure-testing AI risk and governance posture Senior leadership offsites focused on AI deployment and workforce redesign Industry conferences for financial services, technology, healthcare, and consumer goods Audience outcomes A clearer line between AI experimentation and the operating decisions that follow it A board-ready framing for AI as infrastructure, drawing on the Unmetered Intelligence thesis Specific reference points from named Fortune 1,000 deployments rather than generic case studies A defensible position on AI risk, capital allocation, and workforce impact to take back to executive teams

Why organisations work with Katja Schipperheijn A published methodology, the Learning Ecosystem, that gives executives a working model for how learning, technology, and culture connect inside an operating business, not a slide of principles. Authority on both sides of the human-machine question: trained at MIT Sloan in algorithmic business thinking and digital learning strategy, and recognised by getAbstract for the learning impact of her work. Two Kogan Page books that translate the research into language a CHRO, a CLO, and a CEO can use in the same conversation. Practical operator experience through Habit of Improvement and The Learning Mindset Organization, advising multinationals, governments, and scale-ups on how to embed continuous learning into the fabric of the business. Biography highlights Author of Learning Ecosystems (Kogan Page, 2022), shortlisted for the Business Book Awards 2023 in the International Business Book category. Author of The Learning Mindset (Kogan Page, 2024), winner of the getAbstract Global Book Award for Learning Impact, 2025. Founder of Habit of Improvement and The Learning Mindset Organization, advising clients across Europe, the Gulf, and Asia. MIT Sloan programmes in Algorithmic Business Thinking and Digital Learning Strategy; International eMBA, Antwerp Management School. Founder of the sCooledu foundation; digital citizenship workshops delivered to over 15,000 children. Named to the Global 200 Women Power Leaders list, 2024. Biography AI rollouts are outpacing the workforce capability needed to use them well. Most organisations still treat learning as a programme delivered to people, rather than a property of how the business operates. Schipperheijn’s work sits in exactly that gap. Her first book, Learning Ecosystems, set out a working model for how learning, technology, and stakeholder behaviour connect inside an organisation. Published by Kogan Page in 2022, it was shortlisted for the Business Book Awards the following year. The follow-up, The Learning Mindset (2024), extends the argument into AI: what human competencies leaders need to cultivate when machines take on more cognitive work, and how to build them at scale. The book won the 2025 getAbstract Global Book Award for Learning Impact. The research is paired with operating experience. Through Habit of Improvement and The Learning Mindset Organization, she advises multinationals, governments, and scale-ups on continuous improvement, learning culture, and the integration of AI into day-to-day work. Her academic grounding sits between Antwerp Management School, where she completed an eMBA, and MIT Sloan, where she trained in algorithmic business thinking and digital learning strategy. She is also founder of the sCooledu foundation, which has delivered digital citizenship workshops to more than 15,000 children. That work feeds back into her commercial argument: the capacity to keep learning is the capability that determines whether an organisation, or a society, gets value out of AI. Key speaking topics Learning ecosystems and continuous improvement AI and the future of work Human-machine symbiosis Workforce upskilling and reskilling Liminal leadership through disruptive change Digital learning strategy Innovation culture inside large organisations Ideal for CHROs and Chief Learning Officers redesigning workforce capability around AI Executive committees and boards setting the AI and workforce agenda together Transformation and innovation leads embedding learning into operating change HR, L&D, and talent leadership audiences inside multinationals Audience outcomes A working definition of a learning ecosystem and how it differs from a training function A clearer view of which human competencies become more valuable as AI capability grows, and which become less so Practical lenses for assessing whether their current L&D operating model can support AI-era work Language that connects the CHRO, CLO, and CEO agendas on workforce readiness Examples drawn from her advisory work across Europe, the Gulf, and Asia

Why organisations work with Markus Bernhardt He runs a continuous research programme, The Endeavor Report, built on client-led case studies of what is actually working in enterprise AI adoption, so the analysis a board hears is grounded in field evidence rather than vendor positioning. He translates AI capability into operating model decisions: where to redesign workflows, how to govern adoption, which workforce shifts to plan for. The conversation moves from technology curiosity to structural choice. He carries credibility on both sides of the table, having advised technology vendors on go-to-market and Fortune 100 and Fortune 500 leaders on transformation, which lets him read where vendor claims meet enterprise reality. His pragmatic stance is explicit: no silver bullet, no hype framing. Senior buyers get an honest read on adoption maturity, polarisation across the workforce, and the specific points where AI actually changes the cost or quality of work. Forbes Technology Council member and recurring contributor to Training Magazine, the Learning Guild and ATD, with two TD Magazine cover stories, giving the body of published thinking a paper trail leaders can verify. Biography highlights Founder of Endeavor Intelligence, an independent AI strategy research and advisory firm Author of The Endeavor Report, a research programme on applied workforce solutions and enterprise AI adoption Co-creator of the TTE AI Strategy Framework with The Thinking Effect Former Chief Evangelist at Obrizum, a deep-tech adaptive learning company Forbes Technology Council member; contributor to Training Magazine, the Learning Guild, ATD and Coaching Magazine Doctorate in physics; two decades of work with Fortune 100 and Fortune 500 organisations Biography Enterprise AI adoption rarely fails on the technology. It fails on the operating model around it: who owns the workflow change, which capabilities the workforce needs next, what governance has to sit underneath. Markus Bernhardt’s work at Endeavor Intelligence is built around that gap. The Endeavor Report, his flagship research programme, sits on real client case studies rather than vendor surveys. It plots organisations across efficiency accelerators, strategic enablers, capability creators and core process innovators, giving leaders a vocabulary for the adoption choice in front of them. The argument is field-tested, and it lands where boards actually decide. His earlier role as Chief Evangelist at Obrizum, a deep-tech adaptive learning company, gave him an operator’s read on how AI changes capability development inside organisations. That experience now feeds the workforce side of his research, alongside published work in Training Magazine, the Learning Guild and ATD, and a seat on the Forbes Technology Council. A physics doctorate sets the underlying disposition. Bernhardt is sceptical of pattern claims that do not survive the data, blunt about where AI actually shifts cost or quality, and explicit that there is no silver bullet for adoption at scale. For senior leaders weighing capital, structure and workforce moves at the same time, that posture is the point. Key speaking topics Enterprise AI strategy and adoption Applied workforce solutions AI governance and operating model design Workforce transformation and capability development Evidence-based decision support for senior leaders AI in learning and performance Future of work in AI-augmented organisations Ideal for C-suite leaders weighing AI investment, governance and operating model decisions CHROs and chief learning officers planning workforce capability shifts Strategy, transformation and innovation leads designing enterprise AI roadmaps Boards seeking an independent, research-backed read on AI adoption maturity Audience outcomes A clearer map of where their organisation sits across the four adoption archetypes Bernhardt’s research identifies A sharper read on which AI claims to discount and which to act on Specific governance and operating model questions to put to internal teams and vendors A framework for talking about workforce polarisation as adoption deepens Language a senior team can carry into the next board conversation on AI

Why organisations work with Danilo McGarry He has run AI inside two of the largest regulated enterprises on the planet. Buyers get an operator who has defended budgets, cleared risk committees and shipped at scale, not a consultant describing other people’s work. His track record is tied to outcomes in the numbers. His work at Alter Domus is associated with a period of significant valuation growth, and his engagements are framed around measurable cost, revenue and risk impact rather than adoption metrics. He sits at the board-level interface of AI. He teaches on the Financial Times Board Directors Programme and advises the CIPD on AI, which means the language he uses lands with directors, not just technologists. He explains complex AI choices in terms non-technical leaders can act on. That is what earns him repeat invitations from banks, insurers, health systems and consultancies where the decision rests with a chief executive or a chair. Biography highlights Former Head of AI at Citigroup, leading enterprise AI and automation inside one of the world’s largest banks. Former Head of AI at UnitedHealth Group, operator of one of the largest software-robot estates in any healthcare business. Former Global Head of AI and Automation at Alter Domus, the fund services group, from December 2019. Strategic adviser on artificial intelligence to the Chartered Institute of Personnel and Development (CIPD). Faculty contributor to the Financial Times Board Directors Programme. Host of the “It’s All About AI” podcast; TEDx speaker; ranked on Thinkers360 and Onalytica lists of leading AI voices. Biography The hard part of enterprise AI is not the model. It is the decision to commit, the governance to contain the risk, and the operational grip to turn a working pilot into a line on the P&L. Danilo McGarry has spent his career on the inside of that problem. At Citigroup he led artificial intelligence and machine learning, launching automation and AI initiatives across capital markets operations. He then became a senior AI leader at UnitedHealth Group, where his remit included a programme of roughly 3,500 software “digital workers” embedded in one of the largest healthcare businesses in the United States. As Global Head of AI and Automation at Alter Domus from 2019, he built an AI and automation function inside a fund services firm through a period of significant growth. Earlier roles at JPMorgan and Royal Bank of Canada gave him the grounding in regulated operations that now sits under everything he says on stage. That operator track record is why boards listen. He is a faculty contributor to the Financial Times Board Directors Programme and strategic adviser on AI to the CIPD, which puts him in front of chairs, chief executives and people leaders making the governance calls. He is cited and quoted in outlets including the Financial Times, The Times, Bloomberg, Forbes and WIRED, and ranks on Thinkers360 and Onalytica lists of leading voices in AI and intelligent automation. His argument on stage is practical. Treat AI as an operating-model question, not a tooling question. Pick the handful of processes where the economics are real, industrialise them, and build the governance that lets the next wave scale without fresh permission every time. It is a message that lands with leadership teams who are tired of pilot decks and want to know what to do on Monday. Key speaking topics Enterprise AI strategy AI operating models and governance Intelligent automation at scale AI in financial services and healthcare Board-level AI literacy Digital workers and the future of operations Responsible AI adoption Ideal for Boards and chief executives setting enterprise AI policy and investment envelopes. CIOs, CDOs and heads of transformation running AI and automation portfolios. CHROs and people leaders rethinking workforce design around AI and digital workers. Regulated-sector leadership teams in banking, insurance, asset servicing and healthcare. Audience outcomes A clearer view of where AI actually moves the numbers inside their own operating model. A working vocabulary for the governance, risk and workforce questions AI creates at board level. Concrete reference points from AI deployments inside Citigroup, UnitedHealth Group and Alter Domus. A sharper read on which AI investments industrialise and which stay trapped as pilots. Confidence to set the next twelve months of AI priorities with fewer, better bets.

Why organisations work with Hollie Castro Operating record across the moments that test a people function: IPO transition at YETI, take-private of BMC Software under Bain Capital and Insight Partners, and VC-backed scale-up at Miro under Accel and ICONIQ. Sits credibly in the boardroom on AI and the workforce, co-chairing the NACD Austin chapter and leading director-level sessions on GenAI governance and the multigenerational workforce. Has actually run HR at global scale: workforces of 1,500 to 50,000, 90 countries, budgets to USD 200 million, 25-plus acquisitions integrated. Bridges Fortune 500 and late-stage start-up worlds, including current advisory work with HR-focused AI founders at Series A through her firm HC Advice. Recognised externally where it counts: Financial Times Group Top 100 Board Candidates and the HR Transformation award at Silicon Valley’s High Tech Symposium. Biography highlights Five-time CHRO and Chief Administration Officer: YETI, BMC Software, Talisman Energy, Miro, Kony. Co-Chair, Austin Advisory Board, National Association of Corporate Directors. Advisory Board Member, Texas A&M Mays School of Business Center for Human Resources. Stanford University and NACD certified Corporate Director; MBA, Thunderbird School of Global Management. Financial Times Group Top 100 Board Candidates; HR Transformation award, Silicon Valley High Tech Symposium. Published in Fast Company, Forbes, The Corporate Board, and Directors & Boards; featured at HR Retail and on the Revenue Builders podcast. Biography Few HR leaders have sat in the seat across as many high-pressure transitions. As CHRO, Castro took YETI through its IPO from private equity ownership at Cortec, led BMC Software through its take-private under Bain Capital and Insight Partners, and ran people strategy at Miro and Kony alongside Accel and ICONIQ Capital. The thread across those mandates is the same: HR as an operating discipline tied to capital events, not a support function. Her scope has been unusually broad. Workforces of 1,500 to 50,000, operations in 90 countries, budgets to USD 200 million, and more than 25 acquisitions integrated. That range includes the cultural architecture work that ESG and compensation committees now ask for, as well as the harder M&A integration calls that decide whether a deal earns its thesis. The board work has become a second discipline. Castro co-chairs the Austin advisory board of the National Association of Corporate Directors and led the 2024 NACD Director Summit conversation on how boards govern GenAI alongside a five-generation workforce. She is a Stanford and NACD certified Corporate Director, a Thunderbird MBA, and was named to the Financial Times Group’s Top 100 Board Candidates. Today she advises HR-focused AI founders at Series A through HC Advice and writes for Fast Company, Forbes, The Corporate Board, and Directors & Boards on the governance questions that follow when HR is asked to deploy AI at scale. Key speaking topics The CHRO as a strategic business partner Generative AI in HR and talent acquisition Global HR strategy and M&A integration Board governance of AI and the workforce Scaling people functions through IPO and take-private events ESG, compensation, and human capital in the boardroom The multigenerational workforce Agile HR and design thinking Ideal for CHROs, Chief People Officers, and CPO-track HR leaders preparing for board-facing roles. Boards, compensation committees, and audit committees engaging with AI, human capital, and ESG oversight. CEOs and executive teams in private equity portfolio companies or scale-ups preparing for IPO, M&A, or take-private events. Leadership programmes for senior women in operating and director roles. Audience outcomes A clearer picture of what boards now expect from HR on AI, talent risk, and human capital reporting. Specific reference points on integrating HR through IPO, take-private, and cross-border M&A. A working view of how generative AI is changing talent acquisition and the CHRO operating model. Director-level language for governing AI ethics, workforce design, and compensation in tandem.

Why organisations work with Niluka Kavanagh She co-founded KPMG’s Behavioural Science Unit, giving her a practitioner’s understanding of how psychological insight can be embedded in organisational design: not cited in a presentation, but built into real structures inside a global firm. Building and operating three businesses across fourteen countries, with a community of more than a thousand independent founders behind ImagineThat, gives her a working understanding of what trust, engagement, and team performance look like when conventional structures of co-location and hierarchy do not apply. She has operated inside large organisations and built three independent businesses: she can speak to the intrapreneurship and autonomy conversation from both sides of the corporate boundary. Through The Modern CEO, the organisational arm of her ImagineThat platform, she takes the multigenerational engagement debate out of HR theory and into the specifics of daily leadership communication, intrapreneurship, and psychological safety across teams. The KPMG FutureThinkers initiative she co-founded convening speakers from the BBC, HSBC, and others, gives her direct insight into how large organisations signal innovation internally, and where those signals fall short. Biography highlights Co-founded KPMG’s Behavioural Science Unit and the KPMG FutureThinkers initiative during nearly five years as a consultant and project lead at the firm Advised organisations including Mastercard, Tesco, the London Stock Exchange Group, and Lloyds Bank Founder of ImagineThat, a business school for independent entrepreneurs with over 1,000 members across multiple countries Published in The World Financial Review on the application of behavioural science to customer experience design Opened the 2026 Learning Technologies conference programme on the human side of the future of work, at Europe’s largest workplace learning event Featured in a University of Oxford alumni profile on entrepreneurship and alternative career models Guest lecturer at Trinity College Dublin, the University of Edinburgh, and Somerville College, Oxford Graduate of the University of Oxford (English, Somerville College) Biography Most organisations still use presence as a proxy for productivity and hierarchy as a proxy for trust. Neither assumption holds for the workforce that is now entering and increasingly leaving corporate life. Niluka Kavanagh’s work sits precisely at that fault line: the widening gap between how organisations are designed and what the people inside them now expect. Her grounding in this is practical. At KPMG, she spent nearly five years consulting for organisations including Mastercard, Tesco, and the London Stock Exchange Group, co-founding both the firm’s Behavioural Science Unit and its FutureThinkers initiative. Both projects were about the same thing: applying psychological and behavioural insight to how organisations lead change, design experiences, and engage the people doing the work. After leaving KPMG, she tested the same ideas from the outside. Three businesses, fourteen countries of operating experience, and a community of more than a thousand independent founders gave her the empirical base for The Modern CEO, the organisational branch of her ImagineThat platform. It is a leadership model focused on engagement, intrapreneurship, daily communication, and psychological safety across multigenerational teams. Her writing on behavioural science and customer experience has appeared in The World Financial Review. She is a graduate of the University of Oxford and holds a CIMA accounting qualification. Key speaking topics Future of work and workforce transformation The Modern CEO framework for multigenerational leadership Behavioural science in organisational design Multigenerational leadership and team engagement Intrapreneurship and internal innovation Human-centric leadership and trust structures Leadership communication and psychological safety Ideal for CHROs and people leaders managing generational shifts in workforce expectation and culture CEOs and senior leadership teams seeking to align organisational structure with modern ways of working Transformation leads and change teams working on culture, engagement, and talent retention Professional services and entrepreneurial firms navigating the shift to more autonomous, distributed, or flexible operating models Audience outcomes A working understanding of how generational values are reshaping expectations around autonomy, leadership, and work design, and where the organisational cost is already showing up The Modern CEO framework as a practical model for engagement, intrapreneurship, communication, and psychological safety across multigenerational teams Concrete approaches to unlocking intrapreneurial thinking in teams, drawn from real experience building innovation initiatives inside a global consultancy A clearer sense of how behavioural science applies to culture and leadership challenges beyond the theoretical, grounded in organisational practice Practical questions to apply to their own organisation’s structure, communication norms, and talent strategy

Why organisations work with Jennifer Vessels The P.E.A.C.E. Framework gives transformation a structured language and methodology: not abstract change theory, but a tested roadmap built from live engagements inside organisations including Adobe, Cisco, and Novartis She brings Silicon Valley operational experience applied globally, having led transformation programmes across EMEA and Asia, she translates insider knowledge of how the world’s most innovation-intensive organisations actually work into practical approaches for complex, multinational businesses She is an active CEO running transformation programmes concurrently with her speaking engagements, meaning her insights reflect current deployments, not retrospective case studies Her work on generational integration: aligning Gen Z talent, AI capability, and experienced human capital, addresses a workforce tension that most change and transformation speakers do not tackle with equivalent specificity Through the Executive Growth Alliance (EGA), she connects audiences to a live community of F100 leaders navigating the same challenges, giving organisations access to a peer learning network beyond the event itself Biography highlights CEO of Next Step, Silicon Valley consulting firm leading business transformation for global enterprises since 2006 Founder, Executive Growth Alliance: a global peer community of Fortune 100 leaders focused on future-of-work and AI adoption Creator of the P.E.A.C.E. Framework (Purpose, Exploration, Action, Collaboration, Empowerment), deployed across organisations including Adobe, Cisco, Google, IKEA, Microsoft, Novartis, and Schneider Electric Awarded «Best Technology Speaker ’24» (IOFM, Diversified Communications) Author of «No Clue, No Fear: Navigating Storms of Change» and «How Leaders are REALLY Winning with Technology» Featured by EFMD, the World Economic Forum, the Institute of Directors, the San Jose Mercury News, and The New York Times MBA, San Jose State University; MS Occupational Psychology, University of London Early career: international business development at Tandberg (acquired by Cisco); Director of Global Sales Operations at Tandem Computers Biography Leadership thinking built for the Industrial Age is not built for what organisations are experiencing now. Most change programmes assume that if the strategy is sound and the technology is right, transformation will follow. It does not. The missing variable is almost always how leaders are thinking, and what they are willing to let go of. Jennifer Vessels has spent two decades inside that gap, working as CEO of Next Step across Silicon Valley, EMEA, and Asia. Her client list includes Adobe, Cisco, Google, IKEA, Microsoft, Novartis, and Schneider Electric: organisations navigating business model change, AI adoption, and leadership redesign at scale. From that operational experience, she developed the P.E.A.C.E. Framework: a structured methodology giving leaders a repeatable roadmap through disruptive change rather than a case for why change is necessary. What distinguishes her position is its currency. She is not drawing on past engagements. As an active CEO running transformation programmes alongside her speaking work, the examples she brings to audiences reflect live challenges rather than archived successes. She also founded the Executive Growth Alliance, a community of F100 leaders using collaborative challenge-resolution as a vehicle for building future-readiness collectively. Her forthcoming book, «Emergence: How Leaders Break Free from Outdated Thinking,» extends her framework into a broader argument about the leadership models that are no longer fit for purpose, and what replaces them. Key speaking topics AI Adoption and Human-Centred Integration Change Leadership and Organisational Transformation Future of Work and Generational Integration P.E.A.C.E. Approach for Leading Through Change Silicon Valley Innovation Applied to Global Business Business Model Redesign in an AI Era Ideal for CEOs and senior leadership teams navigating business model transformation or AI adoption programmes CHROs and people leaders managing generational integration, workforce redesign, and future-of-work strategy Transformation leads and change management functions inside large multinational organisations Leadership conference audiences where the appetite is for operational credibility over academic theory Audience outcomes A structured framework (P.E.A.C.E.) that gives teams shared language and a repeatable approach to leading through uncertainty Clearer understanding of why AI adoption and transformation programmes stall at the leadership level – and specific approaches to address it Practical tools for integrating generational diversity: particularly Gen Z talent alongside experienced human capital and AI capability A more precise view of how Silicon Valley’s most transformation-intensive organisations actually drive change, applied to the audience’s own context Mindset shift from managing disruption defensively to positioning it as a source of competitive advantage

Why organisations work with Julie Holmes She has built and sold technology, not just studied it. Two innovation companies under her belt and products in over 60 countries give her keynotes the texture of an operator, not an analyst. The UPGRADE Framework gives audiences a seven-step structure they can apply on Monday morning, rather than a high-level provocation about AI’s importance. The AI Strategy Playbook, co-authored with Mary Kelly, addresses the gap most leadership teams admit privately: they do not yet have a written organisational AI strategy. PSA-UKI Hall of Fame status puts her among 33 speakers recognised for sustained craft on stage, useful when the brief is a high-stakes leadership audience. She lectures on innovation and AI at Yale, Birkbeck, and the American University of Beirut, which keeps the material tested against students and faculty as well as paying clients. Biography highlights Hall of Fame Speaker, PSA-UKI, one of 33 to hold the honour Author of Little Big Bangs for Leaders and co-author of The AI Strategy Playbook with Mary Kelly, PhD Founder of two innovation companies with products distributed in over 60 countries Clients include Oracle, Expedia, American Express, JetBlue, Nestle, EY, VMware, US Bank, and LinkedIn Guest lecturer at Yale, Birkbeck (University of London), and the American University of Beirut Creator of the UPGRADE Framework for AI adoption inside teams Biography Less than one in five companies has a written AI policy, let alone a strategy. That gap is what Julie Holmes works inside. She helps boards and leadership teams move from scattered AI pilots to a documented playbook the rest of the organisation can actually use. Her credibility comes from building, not commenting. Holmes founded two innovation companies and shipped products into more than 60 countries before the current AI cycle. That operator history shapes how she talks to senior audiences. The diagnosis is practical, the language is plain, and the deliverable is a structure leaders can apply. The UPGRADE Framework, her seven-step approach to embedding AI in team workflows, anchors most of her keynotes. The AI Strategy Playbook, co-authored with Mary Kelly, extends the same logic to the strategy layer. Earlier work, Little Big Bangs for Leaders, set out her broader thesis on incremental innovation as a leadership discipline. Holmes is a Hall of Fame Speaker with PSA-UKI, one of 33 to hold the honour, and a guest lecturer at Yale, Birkbeck, and the American University of Beirut. Brands including Oracle, Expedia, JetBlue, Nestle, EY, and LinkedIn have brought her in to do the same job: take AI off the slide deck and into the operating model. Key speaking topics AI strategy and adoption Enterprise AI playbooks AI-empowered teams and workflows Innovation as a leadership discipline Sales and customer experience under AI Future of work and AI capability building Ideal for CEOs, COOs, and CTOs setting an enterprise AI direction Heads of transformation and innovation responsible for AI deployment Sales and customer-experience leaders integrating AI into commercial workflows Boards seeking a credible operator perspective on AI strategy Audience outcomes A working seven-step structure (UPGRADE) for embedding AI into team operations A clearer view of what an AI strategy playbook contains and how to draft one Concrete examples of where AI changes sales and customer experience, with named tools Language for talking to non-technical employees about AI capability without inducing fear A sharper sense of which AI use cases are worth piloting and which are noise

Why organisations work with Daniel Susskind A rare voice arguing the economics of AI rather than the technology, drawing on academic work at Oxford, King’s College London and the Stanford Digital Economy Lab. Author of two of the most serious books on the subject leaders are now wrestling with: A World Without Work on AI-driven labour displacement, and Growth: A Reckoning on what economic growth itself should be for. Independent recognition from credible bodies. Growth: A Reckoning was runner-up for the Financial Times Business Book of the Year 2024 and selected by Barack Obama among his favourite books of the year. A World Without Work was also an FT Business Book of the Year runner-up. Sits inside the policy conversation, not just the academic one. Member of the UK Government Expert Panel on AI and the Future of Work, with prior roles in the Prime Minister’s Strategy Unit, 10 Downing Street and the Cabinet Office. Speaks directly to the question every professional services firm and large employer is now asking, which is what happens to the work, the workforce and the business model as AI absorbs more of what experts used to be paid for. Biography highlights Mercers’ School Memorial Professor of Business, Gresham College. Research Professor in Economics, King’s College London. Senior Research Associate, Institute for Ethics in AI, Oxford University, and Associate Member of the Oxford Economics Department. Digital Fellow, Stanford Digital Economy Lab. Author of “Growth: A Reckoning” (2024), “A World Without Work” (2020), and co-author of “The Future of the Professions” (2015). Two FT Business Book of the Year runner-up nominations. Member of the UK Government Expert Panel on AI and the Future of Work. Former Prime Minister’s Strategy Unit, 10 Downing Street Policy Unit, and Cabinet Office. Kennedy Scholar at Harvard. Biography The economic question AI poses to boards is not whether it will take jobs. It is which tasks, in which roles, at what pace, and what that does to the wage bill, the talent pipeline and the growth model the business has been built on. Most public discussion stops at the headline. Daniel Susskind’s work starts where the headline ends. “The Future of the Professions”, co-authored with Richard Susskind in 2015, argued that AI would unbundle expert work in law, medicine, accounting and consulting into tasks that machines, paraprofessionals and software would absorb. A decade on, the prediction reads as conservative. “A World Without Work” then took the argument into the wider labour market, asking how societies should distribute income, status and meaning when paid work becomes scarcer for more people. The New York Times called it “required reading for any potential presidential candidate thinking about the economy of the future”. “Growth: A Reckoning”, a Financial Times Business Book of the Year runner-up in 2024 and chosen by Barack Obama as a favourite book of that year, sits behind both. It treats economic growth as a deliberate choice about what societies value, not an inherited assumption. For corporate leaders the relevance is direct. Capital allocation, productivity claims and ESG narratives all rest on growth assumptions that no longer hold without examination. Susskind’s institutional base is unusually broad: Research Professor at King’s College London, Senior Research Associate at Oxford’s Institute for Ethics in AI, Mercers’ School Memorial Professor of Business at Gresham College, and Digital Fellow at the Stanford Digital Economy Lab. He sits on the UK Government Expert Panel on AI and the Future of Work, and previously advised inside the Prime Minister’s Strategy Unit, 10 Downing Street and the Cabinet Office. His TED Talk on the future of work has been viewed more than 1.7 million times. Key speaking topics Artificial intelligence and the future of work The future of the professions Economic growth and its limits Labour market disruption and workforce redesign AI policy and regulation Productivity, automation and the firm Technology, inequality and the social contract Ideal for Boards and executive committees of professional services firms grappling with AI’s impact on the expert business model CHROs and chief people officers planning multi-year workforce design around AI CEOs, CFOs and chief strategy officers debating growth, productivity and capital allocation Government, regulator and public-sector leadership audiences working on AI and labour-market policy Audience outcomes A grounded economic view of how AI changes work, distinct from the consultancy version Sharper questions to put to the firm’s own workforce and productivity assumptions A working frame for distinguishing AI hype from the shifts that will actually hit the P&L A clearer position on what growth means for the business, and where the inherited growth model is breaking Vocabulary and reference points senior teams can use to brief their own boards on AI and workforce strategy

Why organisations work with Tim Ringo A practitioner thesis on productivity, not a survey of the field. Solving the Productivity Puzzle won the HR & Management category at the Business Book Awards because it sets out a specific operating model for connecting engagement, performance and learning, rather than describing the problem. Three decades inside the firms that built the modern HR function: Accenture, IBM and SAP SuccessFactors, including global leadership of IBM’s 1,500-strong Human Capital Management consulting practice and EMEA leadership at SAP SuccessFactors. A rare combination of HR strategy and workforce analytics credentials, evidenced by Calculating Success, his Harvard Business Review Press book on workforce analytics co-authored with Carl Hoffmann and Eric Lesser. Recognised peer authority: named to HR Magazine’s Most Influential HR Thinkers list in 2022, alongside the people the audience is reading. A working point of view on AI in the workplace from someone who has run global HR technology programmes, not a commentator new to the topic. Biography highlights Named to HR Magazine’s HR Most Influential Thinkers, 2022. Author, Solving the Productivity Puzzle (Kogan Page); Category Winner, HR & Management, Business Book Awards. Co-author, Calculating Success (Harvard Business Review Press), on workforce analytics. Former Vice President and Global Leader, IBM Human Capital Management consulting practice. Former Vice President for EMEA, SAP SuccessFactors. Chartered Fellow of the CIPD; BSc, Fisher College of Business, The Ohio State University. Biography Most large organisations now spend more on HR technology, engagement programmes and learning platforms than at any point in their history. Productivity has not followed. Tim Ringo’s work begins where that gap sits, and treats it as a design problem inside the people function rather than a cultural mood. His 2020 book Solving the Productivity Puzzle, published by Kogan Page, won the HR & Management category at the Business Book Awards. The argument is operational: engagement, performance management and learning have to be wired together, and supported by analytics, before any productivity number moves. His earlier book with Carl Hoffmann and Eric Lesser, Calculating Success, was published by Harvard Business Review Press and helped to define what serious workforce analytics looks like inside an enterprise. The credibility behind the work is built over three decades. Ringo led IBM’s global Human Capital Management consulting practice, with more than 1,500 consultants worldwide, ran SAP SuccessFactors HR advisory across Europe, the Middle East and Africa, and spent sixteen years as an executive partner in Accenture’s Human Performance service line. He is a Chartered Fellow of the CIPD and was named to HR Magazine’s Most Influential HR Thinkers list in 2022. For senior HR audiences, that mix is unusual. Ringo can move from a board conversation about AI in the workforce to a working session on engagement metrics or HR technology investment, and bring the same operating language to both. His view on generative AI at work is a practitioner’s view, formed inside the systems that the rest of the function relies on. Key speaking topics Workforce productivity and engagement Digital HR transformation Workforce analytics Generative AI in the workplace Employee experience and retention Workforce wellbeing strategy HR technology investment Ideal for CHROs, CPOs and HR directors leading productivity, engagement or HR technology agendas Executive teams reviewing return on HR technology and workforce analytics investment HR leadership conferences, CHRO summits and people analytics events Boards considering the workforce implications of generative AI Audience outcomes A clearer view of where productivity is actually lost inside the organisation, and which HR levers move it. A working model for connecting engagement, performance and learning to business outcomes. A practical sense of what good workforce analytics looks like, and what most organisations are still missing. An informed perspective on how to introduce generative AI to the workforce without losing trust or governance.

Why organisations work with Caroline Criado-Perez She built the public evidence base on the gender data gap. Invisible Women sits on the desks of regulators, engineers, and policy teams in more than thirty languages and is the default reference when the question is raised. She has won both the Royal Society Science Book Prize and the FT and McKinsey Business Book of the Year for the same work, a combination almost no other author can claim, and one that signals her rigour to both technical and commercial audiences. She translates the gender data problem into concrete operating examples: car crash test dummies, medical dosing, voice recognition, AI training data, urban infrastructure, workplace tools. Audiences leave with examples they recognise from their own organisation. She has actually changed policy. The Jane Austen banknote and the Millicent Fawcett statue are her campaigns; the credibility she brings to a corporate room is built on shifting state institutions, not commentary. Biography highlights Author, Invisible Women: Exposing Data Bias in a World Designed for Men, winner of the 2019 Royal Society Science Book Prize and the 2019 FT and McKinsey Business Book of the Year. OBE for services to equality and diversity, 2015. Author, Do It Like a Woman, profiling pioneering women globally. Founder of the campaigns that put Jane Austen on the Bank of England £10 note and Millicent Fawcett’s statue in Parliament Square. Liberty Human Rights Campaigner of the Year, 2013; Finland’s HÄN Honour, 2020; winner of the inaugural Unwin Award, 2025. Honorary doctorates from the University of Lincoln, the University of Westminster, and The Open University. Host of the Visible Women podcast with Tortoise Media; writes the Invisible Women Substack newsletter. Biography The crash test dummy used to certify most cars on the road is modelled on the body of an average male. Medical drug trials, voice recognition systems, office temperatures, and stab vests share a similar history. Invisible Women assembled this evidence into a single argument and made it impossible to ignore. Caroline Criado-Perez wrote the book that did this. It won the Royal Society Science Book Prize and the FT and McKinsey Business Book of the Year in the same year, a dual recognition that signals scientific rigour and commercial relevance at once. It has been translated into more than thirty languages and is used by policymakers, engineers, and product teams looking for a defensible account of where their data is incomplete. Her credibility with corporate audiences comes from changing institutions, not commenting on them. She ran the campaign that placed Jane Austen on the Bank of England £10 note. She campaigned for the Millicent Fawcett statue in Parliament Square, the first statue of a woman to stand there. An OBE, a Liberty Human Rights Campaigner of the Year award, and the inaugural Unwin Award are the public record of work that altered what the state chose to put in front of its citizens. Her current focus is on the operating consequences of the data gap for businesses making decisions about AI, product design, workforce policy, and customer experience. Through her Invisible Women Substack and Visible Women podcast with Tortoise Media, she continues to surface the specific cases where missing data on women becomes a material business risk. Key speaking topics The gender data gap Bias in AI training data and algorithmic systems Inclusive product and service design Workforce data and policy design Gender bias in medical and safety research Campaigning, influence, and institutional change Ideal for CHROs, chief diversity officers, and people analytics leaders auditing workforce data Heads of product, design, and data science teams in consumer-facing or safety-critical industries AI and machine learning leaders responsible for model bias and training data quality Boards and ESG committees reviewing how the organisation evidences its claims about inclusion Audience outcomes A working vocabulary for naming where the gender data gap shows up in their own products, policies, and decisions A clear view of the commercial and safety risks created by data that under-represents half the customer or workforce base Specific examples from medicine, automotive, technology, and infrastructure that translate the problem into terms their teams will recognise An understanding of how AI inherits and amplifies existing data bias, and what that means for governance A grounded sense of how institutional change actually happens, drawn from campaigns that succeeded

Why organisations work with Sharon Gai She offers a working model for redesigning teams and reporting lines when agentic AI absorbs the work middle management was paid to do. Her book How to Do More with Less (Wiley, 2026) maps the shift from task-based to capability-based org structures, with named roles for what humans do once execution is automated. Most AI adoption speakers describe what is happening to organisations from the outside. As Head of Global Key Accounts at Alibaba’s Tmall, Sharon worked inside the operating core of one of the world’s most AI-integrated commercial platforms. The vantage gives her authority on AI’s organisational effects that advisers and analysts cannot manufacture. Her practitioner depth on China’s ecommerce ecosystem, built into Ecommerce Reimagined (World Scientific, 2022), gives commercial and transformation leaders a primary source on consumer-to-manufacturer models and AI-integrated logistics via Cainiao. For European boards looking five years ahead, this is the live case study Western markets are still catching up to. Her “Culture Fluid” framework gives leadership teams a way to address the human side of AI adoption without falling into change-management cliché. It explains why two organisations with the same technology stack will get different results. Her client list spans UBS, Deloitte, Nestlé, Walmart, LVMH, and Lenovo, with platform exposure on Bloomberg, CNN, Reuters, TechCrunch, and Wired. Recognised as a LinkedIn Top AI Voice (2026) and a RETHINK Retail Top AI Leader. Biography highlights Author of How to Do More with Less: Future-Proofing Yourself in an AI-Driven Economy (Wiley, 2026) and Ecommerce Reimagined: Retail and Ecommerce in China (World Scientific, 2022) Former Head of Global Key Accounts at Tmall, Alibaba’s core commerce pillar, led omnichannel and ecommerce strategy for major international accounts including Adidas, P&G, H&M, and Xiaomi Selected for the Alibaba Global Leadership Academy, the internal programme designed to globalise Alibaba’s business units MS in Information & Knowledge Strategy, Columbia University; Honours BA in International Development, McGill University Former Global Shaper, World Economic Forum Named in AAE’s Top Keynote Speakers 2023; recognised as a RETHINK Retail Top AI Leader, LinkedIn Top Voice (2024), and LinkedIn Top AI Voice (2026) Media appearances on Bloomberg, CNN, Reuters, TechCrunch, Wired, CBC, and CCTV; keynote clients include UBS, Deloitte, Nestlé, Walmart, LVMH, and Lenovo Biography The work middle management was paid to do is moving into systems. Reporting, status tracking, summarisation, performance feedback, project oversight: agentic AI now performs each of these to the standard a competent manager would have delivered five years ago. The org chart that organisations grew up with is becoming structurally redundant, and most leadership teams do not yet have a working model for what replaces it. That question is the centre of Sharon Gai’s recent work. Her book How to Do More with Less (Wiley, 2026) maps the shift from task-based org structures to capability-based ones, naming what concentrates in humans once execution is automated: judgement, taste, theory of mind, original problem definition. The book sits within an active body of writing on what she calls the Org Chart of the Future, drawing on the live restructures already underway at Meta, Microsoft, and others. Her authority on these questions comes from operational experience few AI speakers can claim. As Head of Global Key Accounts at Alibaba’s Tmall, she worked inside one of the world’s most AI-integrated commercial platforms, leading omnichannel and ecommerce strategy for Adidas, P&G, H&M, and Xiaomi. Selection for the Alibaba Global Leadership Academy, the internal programme tasked with globalising Alibaba’s business units, deepened that vantage. Her first book, Ecommerce Reimagined (World Scientific, 2022), remains the only practitioner account of China’s ecommerce ecosystem written from within Alibaba, examining how consumer-to-manufacturer models and AI-integrated logistics via Cainiao function inside the company. Her “Culture Fluid” framework addresses the parallel internal question: how to build the agility to compete across simultaneous cultural and technological shifts. The work connects the structural argument of the Org Chart of the Future to the human capability conditions that make any redesign executable. Without the second, the first remains an idea on a slide. Key speaking topics The Org Chart of the Future: AI-era team and role design AI adoption at organisational scale: from pilots to operating model The disappearing middle: agentic AI and management layers Future-proofing in an AI-driven economy China’s AI-integrated commerce ecosystem Culture Fluid: organisational agility across cultural and technological shifts Consumer-to-manufacturer (C2M) models and AI-integrated supply chains Ideal for CHROs, COOs, and transformation leads designing the operating model and workforce for an AI-augmented organisation Boards and executive committees confronting the structural implications of AI on management layers, headcount, and capability planning Chief Commercial Officers and heads of digital in retail, FMCG, luxury, and consumer brands looking at AI’s effect on platform commerce Leadership development programmes where AI adoption needs the perspective of someone who has worked inside an organisation operating at AI saturation Audience outcomes A structural model for redesigning teams and reporting lines when agentic AI absorbs the work middle management was paid to do Operating clarity on which AI use cases produce advantage and which produce vendor revenue A view of how China’s AI-integrated commerce platforms actually function, drawn from inside Alibaba, and what is genuinely replicable in Western markets A direct answer to the question of where human capability concentrates in an AI-driven organisation: judgement, taste, theory of mind, original problem definition A shared language, through the Culture Fluid model, for the human side of AI adoption