Future of Work

Why organisations work with Melica Moshiri Operating knowledge of the AI scale-up hiring market. SkillTorch places go-to-market, C-suite and technical leaders into companies across automation, robotics, semiconductors and enterprise AI. A founder’s view of what it takes to start and run a specialist business from cold, not a consultant’s view of someone else’s growth. A public platform built through BBC’s The Apprentice (2025) and a TEDxWorthing talk, giving her access to audiences beyond a typical recruitment specialist. A working perspective on how AI is changing recruiting itself, drawn from running an AI-focused search firm and hosting the SkillTorch Disrupt podcast with founders and operators in the field. Biography highlights Founder, SkillTorch, retained and embedded search for venture-backed AI companies across North America and Europe Host, SkillTorch Disrupt podcast on hiring, leadership and applied AI TEDxWorthing speaker, October 2025: “How to reconnect in a robotic world” BBC The Apprentice 2025 contestant, reached Week 8, won five tasks including Project Manager Speaking platforms include NBCUniversal, Spotify and the University of Brighton BA (Hons) Law with Business, University of Brighton Biography AI companies in their first scaling phase usually have two problems at once. The product is moving faster than the leadership team can hire for, and the executive roles they need most are the ones the founders have never personally done. SkillTorch was built to sit inside that gap. Melica Moshiri founded SkillTorch in 2022 after a decade in recruitment that took her from Pareto Law in the UK through executive search in advertising technology to Los Angeles and Orange County, where she opened a US office for a UK firm before launching her own. The firm runs retained and embedded search for venture-backed AI companies across the US and Europe, placing senior commercial, technical and operational leaders into businesses in automation, robotics, semiconductors and enterprise AI. In 2025 she became a contestant on BBC’s The Apprentice, reaching Week 8 and winning five tasks, including one as Project Manager. The platform extended her public reach across BBC News, BBC Radio 5 Live, the Daily Mail, The Mirror and Persian broadcaster Manoto TV, and led to a TEDxWorthing talk later that year on how technology is reshaping the way people connect at work. She also hosts SkillTorch Disrupt, a podcast with founders and operators building applied AI in real-world settings. The recurring theme across her client work, her broadcasting and her speaking is the same: how small, recently funded companies design leadership teams that can hold up when growth gets ahead of the org chart. Key speaking topics Building and scaling a specialist business in the AI sector Executive hiring for venture-backed technology companies AI’s effect on recruiting and talent strategy Resilience and reinvention as a first-time founder Women founding and leading in technology Personal brand and visibility for entrepreneurs Ideal for Founders and CEOs of early-stage and Series A to C technology companies Heads of Talent and CHROs scaling teams inside AI-native businesses Entrepreneurship programmes, accelerators and university enterprise audiences Conferences on women in technology, leadership and founding Audience outcomes A working picture of how senior hiring inside AI scale-ups actually runs, from brief to closed offer Specific examples of what goes wrong when founders hire too late or too senior, and how to read the signals earlier A candid account of the public, financial and personal exposure that comes with founding a business and a media profile at the same time Practical positioning for women entering or founding in technology, drawn from her own market

Why organisations work with Daniel Hulme He runs AI inside a FTSE 100 holding company. When he talks about deployment at scale he is describing decisions he is currently making across WPP’s operating businesses, not modelling them from the outside. He sold the AI consultancy he founded, Satalia, to WPP after building it across clients including Tesco, Unilever, PwC, BT and the BBC. The deployment track record is operational, not slideware. As founder of Conscium, the first commercial research organisation on machine consciousness, he can address AI safety and the frontier governance questions that boards are starting to ask, without retreating into philosophy. His UCL credentials are substantive, an EngD in AI, the former directorship of the Applied AI MSc, and a current Entrepreneur-in-Residence role. The science behind the commercial advice is real. He signed the 2017 open letter to the United Nations on autonomous weapons alongside Musk, Hinton, Russell and Hassabis. He has been in the public AI governance conversation for almost a decade, well before it became fashionable. Biography highlights Chief AI Officer, WPP plc, coordinating AI strategy across the group since the 2021 acquisition of Satalia. Founder and former CEO of Satalia, the UK AI company named to Gartner’s Cool Vendors list for data science in 2016. Founder and CEO, Conscium, a London-based commercial research organisation studying machine consciousness and neuromorphic AI, founded 2024. EngD and Master’s in Artificial Intelligence, University College London. Computer Science Entrepreneur-in-Residence at UCL. Faculty member, Singularity University, on AI, ethics, innovation and organisational design. Founding Fellow, Academy for the Mathematical Sciences (2026). Co-author, Stories from 2045 (Economic Singularity Foundation, 2019). Signatory, 2017 open letter to the United Nations on lethal autonomous weapons. Biography WPP acquired Satalia in 2021 and made its founder its Chief AI Officer across the group. That move put one person in charge of AI strategy across a FTSE 100 advertising and marketing holding company, with operating brands that touch most of the world’s largest consumer businesses. The job is what most boards are now wrestling with on a smaller scale. Daniel Hulme founded Satalia in 2008 out of his AI research at University College London, where he earned his EngD and went on to direct the Applied AI MSc programme. Satalia’s work for clients including Tesco, Unilever, PwC, BT and the BBC sat at the unglamorous end of AI, optimisation, decision intelligence and operational decision-making, which is where deployment usually succeeds or fails. In 2024 he co-founded Conscium, a commercial research organisation focused on machine consciousness and neuromorphic AI. The work matters commercially because the next set of AI governance questions, around verification, autonomy and accountability, are not solved by the current generation of large language models. He was a signatory to the 2017 open letter to the United Nations on autonomous weapons, alongside Musk, Hinton, Russell and Hassabis, which placed him in the public AI safety conversation long before it reached boardrooms. He remains UCL’s Computer Science Entrepreneur-in-Residence, holds Singularity University faculty status, and was elected a Founding Fellow of the Academy for the Mathematical Sciences in 2026. The combination matters for one practical reason. When he discusses how AI is being deployed inside a FTSE 100 company, the technical claims are coming from someone with a research apparatus underneath them. Key speaking topics Applied AI in large enterprises AI strategy and the Chief AI Officer role AI ethics, safety and governance Machine consciousness and frontier AI research Decision intelligence and optimisation The future of work under AI Organisational design through technology Ideal for Boards and executive committees making AI investment and governance decisions Chief AI Officers, CTOs, CIOs and Chief Data Officers shaping enterprise AI strategy Risk, audit and compliance leaders working out AI accountability Innovation, transformation and digital leaders moving AI beyond pilots Audience outcomes A clearer view of what AI can realistically deliver inside their own organisation in the next 18 months, separated from vendor narrative. Working language for the governance and safety questions their board will be asked, including where the limits of current AI sit. A more honest read on which AI use cases are commercially defensible and which are not yet. Exposure to frontier research questions, including machine consciousness, that will shape the next wave of AI regulation.

Why organisations work with Kai Gondlach Brings academic foresight methodology (Master of Arts in Future Studies, Freie Universitat Berlin) into rooms that usually receive trend talks. The difference shows in how scenarios are constructed, not just how they are presented. Co-editor of Arbeitswelt und KI 2030, the Springer Gabler reference volume that pulled together 78 contributors on AI and the world of work. Few keynote speakers on AI sit on a publication of comparable academic weight in the German-speaking market. Built the scientific methodology behind a major commercial trend-research institute (2b AHEAD) before founding PROFORE. Boards get a foresight practitioner, not a generalist commentator. Works in both German and English, with sustained client traction in regulated sectors, insurance, mobility, energy, public administration, where foresight needs to survive contact with risk and compliance teams. Biography highlights Master of Arts in Future Studies, Freie Universitat Berlin; bachelor degrees in Sociology and Political/Administrative Sciences from Universitat Potsdam. Founder and Managing Director, PROFORE Gesellschaft fur Zukunft mbH, Leipzig. Co-editor of Arbeitswelt und KI 2030 (Springer Gabler), with Inka Knappertsbusch. Author and editor of further volumes including KI Jetzt! and Regenerative Zukunfte und kunstliche Intelligenz. Former Senior Research Fellow at 2b AHEAD ThinkTank, where he established the institute’s scientific foresight methodology. Member of the World Futures Studies Federation; founding member of the German Master of Future Science alumni network. Biography Strategic foresight is the discipline most often demanded and least often supplied at board level. Companies ask for a view of the next decade and receive a trend list. Kai Gondlach trained in the academic version of the discipline at Freie Universitat Berlin, where he completed the Master of Arts in Future Studies, before bringing that methodology into commercial practice. His four years as Senior Research Fellow at 2b AHEAD ThinkTank in Leipzig were spent translating academic foresight into work that industrial clients could act on. He built the scientific basis for the institute’s trend studies, then left in 2019 to found PROFORE, his own Leipzig-based foresight institute. The shift was deliberate. Clients increasingly wanted long-range scenarios that held up under board scrutiny, not headline trends. His publishing record sits on Springer Gabler. Arbeitswelt und KI 2030, co-edited with Inka Knappertsbusch, gathered 78 contributors across research and industry on how AI reshapes the structure of work; a second edition followed in 2024. KI Jetzt! and the Regenerative Zukunfte und kunstliche Intelligenz volumes extend the same method into operational AI and into the ecological and social dimensions of the technology. Gondlach is a member of the World Futures Studies Federation and a founding member of the German Master of Future Science alumni network. Boards in insurance, mobility, energy, and public administration use him when the question is not whether AI matters, but how to plan capital, talent, and operating model around a future that resists single-point forecasting. Key speaking topics Strategic foresight and scenario planning Artificial intelligence in the world of work Future of work and workforce transformation Industry 5.0 and regenerative futures Mobility, energy and sustainability to 2050 Long-range megatrends for boards and executives Ideal for Boards and executive committees setting long-range AI and workforce strategy CHROs and transformation leads redesigning the workforce around AI capability CSOs and corporate strategy teams in regulated sectors (insurance, mobility, energy, public administration) Innovation and R&D leadership briefing senior stakeholders on long-horizon scenarios Audience outcomes A working method for thinking about long-range futures, not a memorable trend list Sharper distinction between trends, scenarios, and forecasts in their own strategy conversations A defensible language for talking about AI with boards that resists hype on either side Concrete reference points from German-speaking industry on how AI is restructuring the world of work

Why organisations work with Ross Reekie He brings primary research material that most engagement speakers do not have: the Fun Jobs Project is a multi-year field experiment in which he personally took on roles from ski instructor to stand-up comedian to test where meaning actually originates at work. He treats meaning as a performance variable, not a wellbeing variable. The argument lands with operating leaders who have stopped believing engagement programmes pay back. His academic base is serious. An Engineering degree from Edinburgh, an MBA and a Master’s in Sustainable Leadership from MGSM Sydney, and PhD-track research at Macquarie give him a credible research spine to sit alongside the field work. He is built for interactive formats. His keynote uses live experiments, props and audience participation rather than slide narration, which suits internal leadership offsites and culture-launch events. He has tested the same content across two continents and across sectors, with named conference platforms including TEDxMonashUniversity, TEDxGlasgowCaledonianUniversity, and the Urban Future Global Conference. Biography highlights Founder of Rise Consulting, Sydney, working with leadership teams on meaningful work and workplace culture. TEDx speaker at TEDxMonashUniversity (2019) and TEDxGlasgowCaledonianUniversity (2019). Creator of the Fun Jobs Project, a live research experiment into the sources of meaning at work. Host of The Meaning of Work podcast, with hundreds of interviews from interns to chief executives. MBA and Master’s in Sustainable Leadership from MGSM Sydney; Engineering degree from the University of Edinburgh; Master’s in Research underway at Macquarie University. Twenty years of consulting work with leadership teams across Europe, Asia, the Middle East, and Australia. Biography Most organisations have stopped believing their own engagement data. Scores hold steady, but discretionary effort drains away, and the standard interventions of values workshops, recognition platforms and mission refreshes no longer change behaviour. The interesting question is no longer whether people are engaged. It is what they are committing to, and why. Ross Reekie has spent two decades inside that question. He founded Rise Consulting in Sydney to work with leadership teams on meaningful work and workplace culture, building on twenty years of consulting across Europe, Asia, the Middle East, and Australia. His academic base sits alongside the practice: an Engineering degree from the University of Edinburgh, an MBA and a Master’s in Sustainable Leadership from MGSM Sydney, and Master’s research at Macquarie University on what makes work matter. The Fun Jobs Project is what sets the work apart. After burning out as the meaningful-work expert who had lost meaning in his own work, Reekie ran a live experiment on himself, taking roles from ski instructor to stand-up comedian to opera extra to test where engagement actually comes from. The output is a model of meaning that starts with a playful, exploratory mindset rather than with mission statements, and that treats curiosity and connection as performance inputs. He brings the same material to TEDx stages at Monash and Glasgow Caledonian, to the Urban Future Global Conference, and to private leadership rooms. His keynote runs as a live, interactive session rather than a talk, with props and audience experiments built in. For a senior people or transformation leader trying to revive a tired culture, he gives them a research-grounded argument they can hand to an operating board. Key speaking topics Meaningful work and workplace culture Employee engagement and the social contract of work Purpose and authenticity in leadership Burnout and recovery in senior teams Belonging and team connection Fear as a performance blocker Playful curiosity as a leadership capability Ideal for CHROs and chief people officers rebuilding engagement after a period of flat scores or fatigued change programmes Heads of culture and internal communications launching or refreshing a purpose narrative Leadership teams and executive offsites looking for a working session rather than a talk Conference organisers in the future-of-work, employee experience, and urban or civic-leadership space Audience outcomes A research-grounded view of why meaning at work is a performance question, not a wellbeing question A clear distinction between engagement programmes that move behaviour and those that do not Specific language for the mindset shifts that produce more discretionary commitment at work Practical prompts for leaders to test on their own teams before changing anything organisation-wide A felt experience of a working session, not a lecture, that participants can replicate in their own offsites

Why organisations work with Mike Evans He gives an audience a defence plan for AI disruption, not a forecast. The 7-Sided Pincer Movement maps the forces reshaping work, and the 5-Ingredient Kryptonite Defence sets out the capabilities that keep people and teams hard to replace. He has worked these forces since the 1990s, inside Kotter International, FranklinCovey, and Tom Peters Company, which puts three decades of change practice behind a topic most speakers picked up after 2023. He built and tested the frameworks inside 34 of the Fortune 50, with named results such as shorter decision cycles at Intel and a rebuilt pilot training pipeline at the US Army Aviation Center. He builds each keynote backward from a structured discovery call with the client, so the room gets its own challenges addressed rather than a stock talk. His Kryptonite Scorecard, a 30-behaviour diagnostic, and the distributed ownership thesis in Achieve with Accountability give a leadership team a way to keep working the plan after the session. Biography highlights Author of two books: Distinct or Extinct: Future-Proofing People and Organizations in the Age of AI (Pincer Press, 2026) and Achieve with Accountability (Wiley). Founder of Pincer Press; works full-time as a keynote speaker and author. Former senior consultant at Kotter International, FranklinCovey, and Tom Peters Company, working alongside John Kotter, Stephen Covey, and Tom Peters. Clients include 34 of the Fortune 50, among them Intel, Apple, PepsiCo, Caterpillar, Cargill, Capital One, and Pfizer. Developer of the 7-Sided Pincer Movement and the 5-Ingredient Kryptonite Defence, with the Kryptonite Scorecard diagnostic. Biography Seven forces are reshaping how organisations work at the same time: software, robotics, globalisation, outsourcing, digital transformation, disruptive competition, and AI as the accelerant that multiplies the rest. Most organisations defend one flank while the other six go unguarded. Mike Evans has worked these forces since the 1990s, well before AI made them urgent. He built his frameworks inside Kotter International, FranklinCovey, and Tom Peters Company. He worked directly with John Kotter on change acceleration, with Stephen Covey on personal effectiveness, and with Tom Peters on operational excellence. His 2026 book, Distinct or Extinct, turns that history into a method. It argues that people and organisations survive disruption by becoming hard to replace, through five capabilities: ideas, speed, talent, distinction, and leadership at all levels. Evans founded Pincer Press to publish it, choosing speed to market over a traditional deal so it reached leaders inside the 2026 disruption window. The frameworks were tested inside 34 of the Fortune 50, including Intel, Apple, PepsiCo, and the US Army Aviation Center. His Wiley book, Achieve with Accountability, supplies the execution layer beneath them, the distributed ownership that lets a workforce act on a plan rather than receive one. At Intel the work shortened decision cycles; at the US Army Aviation Center it rebuilt a pilot training pipeline under a constrained budget. Key speaking topics AI disruption and the future of work Future-proofing people and organisations The 7-Sided Pincer Movement and converging disruptive forces Distributed accountability and execution discipline Change leadership under permanent disruption Personal and organisational distinctiveness Resilience under repeated disruption Ideal for Boards and executive teams deciding how AI changes their workforce and operating model Chief People Officers and Chief Transformation Officers redesigning roles and accountability for an AI-shaped workforce Leadership conferences, annual meetings, and sales kickoffs in sectors under pressure from AI, such as financial services, healthcare, manufacturing, pharma, and technology Associations running “future of the industry” programmes where members are anxious about staying relevant Audience outcomes A map of the seven forces hitting their organisation at once, and which ones they are currently leaving unguarded The five capabilities that keep people and teams hard to replace as AI absorbs routine work A working model for distributing accountability so a workforce can act on the plan rather than receive it Specific changes leaders can put in motion within the week, beyond general AI awareness Shared language senior teams can use after the session to hold momentum

Why organisations work with Kieran Gilmurray He has shipped AI and intelligent automation programmes inside named enterprises including Rapid7, Mercer, and Pearson, with documented savings in the tens of millions. That track record sits behind every framework he presents. His three books on generative AI, agentic AI, and organisational digital transformation give boards a structured reference, not a hype reel. They are written for the executive who has to decide, not the engineer who has to build. He treats agentic AI as an operating model question. The conversation moves quickly from “what is an AI agent” to which decisions an agent should own, what governance the board needs to put around it, and how the workforce is redesigned in response. Seven LinkedIn Top Voice recognitions and Thinkers360 rankings in generative and agentic AI mean the audience is hearing from a voice already widely cited in their own feeds, which lifts the in-room credibility of the conversation. Biography highlights Author of Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, The A to Z of Generative AI, and The A-Z of Organizational Digital Transformation. CEO and Founder, Kieran Gilmurray and Company Limited. Chief AI Innovator, Technology Transformation Group. Seven-time LinkedIn Top Voice in AI and related categories. Listed by Thinkers360 in the Top 50 Generative AI and Top 100 Agentic AI thought leaders. MBA (1st Class Distinction, Entrepreneurship Award) and MSc in Computer Science, both Queen’s University Belfast. Biography The gap between AI ambition and AI in operation has become the defining management problem of the decade. Pilots prove the technology works. Boards then struggle to convert those pilots into structural advantage, and most leadership teams still lack a clear view of which decisions an AI agent should now own. This is the territory Kieran Gilmurray works in. As CEO of Kieran Gilmurray and Company Limited and Chief AI Innovator at the Technology Transformation Group, he advises boards and executive teams on moving generative and agentic AI from concept into operating reality. His work spans finance, HR, customer service, and the wider digital labour stack. The credibility behind the advice is operational. Programmes he has led inside Rapid7, Mercer, and Pearson are referenced across his bureau profiles with quantified outcomes in the tens of millions of pounds and dollars. His three books, including Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour, give business leaders a structured way to think about agent design, governance, and workforce redesign without retreating into engineering language. Independent recognition reinforces the position. Kieran has been named a LinkedIn Top Voice seven times and ranks on Thinkers360 leaderboards for both generative AI and agentic AI. He holds an MBA with distinction from Queen’s University Belfast and an MSc in Computer Science from the same institution, a pairing that maps directly onto the audience he writes for: business leaders who need the technology to make commercial sense. Key speaking topics Agentic AI and digital labour Generative AI for business leaders AI strategy and operating model design Intelligent automation at enterprise scale Digital transformation in regulated industries AI governance and board-level oversight Future of work in the age of AI Ideal for Boards and executive committees moving from AI pilots to enterprise deployment CIOs, CTOs, CDOs, and Chief AI Officers designing operating models around generative and agentic AI CHROs and transformation leads redesigning roles and workflows as AI agents enter the workforce Industry conferences in financial services, professional services, technology, insurance, and the public sector Audience outcomes A working definition of agentic AI that distinguishes it from generative AI and earlier automation, with examples from named enterprises A board-level view of where AI agents are already producing operating savings and where they are still pilot theatre A practical map of governance questions a leadership team must answer before scaling AI agents across functions A clear framing of workforce redesign as AI shifts which decisions sit with humans and which sit with digital labour

Why organisations work with Andreas Welsch Two decades inside SAP, including a vice president role connected to its Global AI Center of Excellence, give him a working knowledge of enterprise AI at the scale Fortune 500 boards actually operate. His AI Leadership Handbook is built on 60+ named interviews with AI leaders and offers a practitioner framework rather than commentary on the market. The 9 Steps to Successful AI Projects gives leadership teams a sequence to challenge stalled programmes against, covering ownership, strategy alignment, cross-functional delivery and governance. His What’s the BUZZ? podcast, running since 2021 with hundreds of AI executives, keeps his material grounded in what is currently working inside enterprises, not what was true 18 months ago. Named LinkedIn Top Voice, Thinkers360 Top 10 in AI, Generative AI and Agentic AI, and DataIQ Data & AI Leader of the Year Finalist 2025, which signals he is taken seriously by the audiences that book him. Biography highlights Founder and Chief AI Strategist, Intelligence Briefing Former Vice President at SAP, with leadership roles connected to its Global AI Center of Excellence and Business AI go-to-market function Author of AI Leadership Handbook and The HUMAN Agentic AI Edge Host of What’s the BUZZ? AI in Business podcast since 2021 Adjunct Professor at West Chester University of Pennsylvania; Editorial Board member, Journal of AI, Robotics, and Workplace Automation LinkedIn Top Voice; Thinkers360 Top 10 in AI, Generative AI and Agentic AI; DataIQ Data & AI Leader of the Year Finalist 2025; PEX Network Top 30 AI Leader 2025 Biography Enterprise AI has moved past the question of whether to invest. The harder question now is why most programmes never leave pilot. Welsch’s work answers it from the operator’s seat. Over two decades at SAP, including a vice president role connected to its Global AI Center of Excellence, he watched Fortune 500 organisations buy capability and fail to convert it into operating advantage. That experience is the substrate of the AI Leadership Handbook, his best-selling book drawn from 60+ interviews with AI leaders. The book sets out a practitioner sequence, The 9 Steps to Successful AI Projects, that leadership teams use to challenge stalled programmes against ownership, strategy alignment, cross-functional delivery and governance. Through Intelligence Briefing, the advisory he founded after SAP, Welsch now works with senior teams on agentic AI specifically: where autonomous systems sit on the org chart, how accountability survives when decisions are delegated to machines, and what workforce design looks like when AI agents are colleagues rather than tools. His second book, The HUMAN Agentic AI Edge, makes that argument in book form. His What’s the BUZZ? podcast, running since 2021, keeps the material fresh by putting him in regular conversation with named AI leaders inside Accenture, IBM, NVIDIA, PwC, SAP and Siemens. Thinkers360 ranks him in their top 10 globally on AI, Generative AI and Agentic AI; DataIQ named him a Data & AI Leader of the Year finalist in 2025. Key speaking topics Enterprise AI strategy and operating advantage Agentic AI and autonomous systems in the enterprise AI governance and responsible adoption Generative AI for business outcomes Workforce design for the AI-ready organisation AI leadership and executive readiness Change management for AI programmes Ideal for Boards, CEOs and executive committees commissioning enterprise-wide AI strategy CIOs, CTOs, CDOs and Chief AI Officers responsible for moving AI from pilot to operating model CHROs and people leaders redesigning roles around AI capability Industry conferences and leadership summits in technology, financial services, manufacturing and professional services Audience outcomes A sharper read on why most enterprise AI programmes stall and what changes when they do not Familiarity with The 9 Steps to Successful AI Projects as a diagnostic for their own programme A working position on agentic AI: where it belongs in the operating model and where it does not Specific governance questions to take back to the board on accountability, data privacy and risk A view of what other Fortune 500 AI leaders are actually doing now, from Welsch’s podcast research

Why organisations work with Alison McCauley She brings a Stanford-trained social scientist’s lens to AI adoption, focused on the human and organisational variables that decide whether a deployment moves the operating numbers. Her LinkedIn Learning course on emerging technology has reached more than 90,000 enterprise learners, evidence she can translate complexity into something a non-technical workforce can act on. How To Think With AI is built on a year of fieldwork with hundreds of early adopters, giving her a usable framework for cognitive performance with AI rather than a survey of capabilities. She has tracked technology adoption cycles across blockchain and AI since 2016, which gives boards a pattern recogniser, not a vendor pitch, when assessing what is signal and what is hype. Her writing in Harvard Business Review, Forbes, and VentureBeat, plus LinkedIn Top Voice status, gives senior audiences a credible voice they can quote internally after the keynote. Biography highlights Bestselling author of Unblocked: How Blockchains Will Change Your Business (O’Reilly Media) and How To Think With AI. Founder and CEO of Unblocked Future, a strategy firm advising leaders on adoption of emerging technology. Chief Advocacy Officer at Think with AI. LinkedIn Learning course creator with more than 90,000 students enrolled in her enterprise technology programme. Named a LinkedIn Top Voice; published in Harvard Business Review, Forbes, and VentureBeat. BA in Psychology and MA in Organization Design and Development, Stanford University. Speaking platforms include SXSW, the Aspen Ideas Festival, Columbia University, and UC Berkeley. Biography Most AI rollouts stall at the same place. The model works, the licence is bought, and three months later the only people getting value from it are the same handful who would have found a way regardless. The variable that matters is not the technology. It is whether the rest of the workforce learns to think with it. That is the operating problem Alison McCauley has spent two decades on. Her training is in psychology and organisational behaviour, both at Stanford, and her consulting career has put her opposite C-suites at firms including Adobe, Oracle, IBM, PNC, First Data, and Verizon. She studies the human side of how new technology lands inside organisations, which is why her work reads differently from technologist commentary on AI. She wrote Unblocked with O’Reilly Media in 2018, before blockchain literacy was a board concern, and her LinkedIn Learning course on the same topic became a default executive education resource with more than 90,000 enrolments. Her current book, How To Think With AI, is built on a year of fieldwork with hundreds of generative AI early adopters and translates what they do differently into a framework leaders can teach. As Chief Advocacy Officer at Think with AI and founder of Unblocked Future, she works with senior teams on the practical question of what changes when AI becomes a capability rather than a tool. Her articles appear in Harvard Business Review, Forbes, and VentureBeat. She has been named a LinkedIn Top Voice. The reason boards bring her in is not to be told that AI matters; it is to be shown what their workforce has to do differently for the next eighteen months to count. Key speaking topics AI adoption and workforce capability Human-centred technology change Generative AI for cognitive performance Digital transformation strategy Emerging technology pattern recognition Executive AI literacy Future of work in the age of AI Ideal for C-suite and board audiences setting AI strategy beyond pilots CHROs and learning leaders rebuilding capability around AI Transformation and innovation leads moving deployment from tooling to operating advantage Executive education and senior leadership programmes Audience outcomes A clear vocabulary for the human variables that determine AI return on investment A practical framework, drawn from fieldwork with early adopters, for how individuals and teams use AI to lift cognitive performance A sharper read on which AI signals matter for their sector and which are vendor noise Confidence to lead AI conversations internally without deferring to technology vendors A point of view on workforce redesign that holds up in a board setting

Why organisations work with Jeanette Bronée She treats self-care as a leadership discipline, not a wellbeing programme. Her Power-Pausing method is built for executives who cannot afford to slow down but cannot afford to decide badly either. She brings two decades of work with Fortune 500 organisations including Microsoft, BlackRock, HSBC, Siemens, and the U.S. Navy, and has presented at the United Nations. Her book The Self-Care Mindset (Wiley, 2022) gives clients a tested framework leaders can apply between sessions, not a speaker high that fades by Monday. She contributed the chapter on Power-Pausing in Thinkers50 and Wiley’s Connectedness, a recognition that places her work alongside the field’s most cited voices on human connection and leadership. Her Danish business background and US executive experience give her a register that travels comfortably across European and North American leadership audiences. Biography highlights Author, The Self-Care Mindset, Wiley (2022) Contributing author, Connectedness, Thinkers50 and Wiley, foreword by Rita McGrath Three-time TEDx speaker, including TEDxUNCPembroke Founder of Path for Life, established 2004 Former Board Member, National Speakers Association New York Speaking clients include Microsoft, BlackRock, HSBC, Siemens, eBay, McKesson, U.S. Navy, SHRM, and the United Nations Biography Most leadership advice on pressure assumes the answer is more discipline. Bronée argues the opposite. The capacity to lead well under sustained load is built by what happens in the seconds before a decision, not by what happens after burnout has already arrived. Her Power-Pausing method, developed over twenty years of consulting work, treats that micro-pause as a metacognitive operating practice, not a wellness habit. The work has a specific origin. She built her first company at 23, ran a team of 50 by 25, and was diagnosed with the early markers of the cancer that had killed both her parents. She left the fashion industry, founded Path for Life in 2004, and spent the next two decades testing what actually changes when leaders rebuild their relationship to attention, stress, and trust. That research now sits in The Self-Care Mindset, published by Wiley in 2022, and in her contributing chapter to Connectedness, the Thinkers50 and Wiley volume on authentic human connection at work, with a foreword by Columbia Business School’s Rita McGrath. She has delivered three TEDx talks and worked with Microsoft, BlackRock, HSBC, Siemens, McKesson, the U.S. Navy, and the United Nations. The current emphasis is on trust and judgement in AI-saturated workplaces. As more cognitive load shifts to machines, the leadership variables that matter most are the ones that cannot be automated: the quality of attention a leader brings to a hard call, and the conditions that allow a team to disagree well. Bronée’s argument is that those variables are trainable. Key speaking topics Self-leadership under pressure Power-Pausing as a decision-making practice Building cultures of trust in AI-saturated workplaces The Self-Care Mindset for senior leaders Care-Driven Leadership Resilience and sustainable performance Human capacity in the age of AI Ideal for CEOs, CHROs and senior HR leaders rebuilding the social contract with their workforce Leadership development sponsors designing programmes for newly senior executives Organisations introducing AI tools and worried about the cultural cost of speed without judgement Conferences for women in senior leadership and executive transition programmes Audience outcomes A working definition of self-care as a leadership capability, separate from wellbeing programming The Power-Pausing practice as a tool for higher-quality decisions under time pressure A clearer view of how trust is built or eroded in the small interactions that precede big calls Language to use with their own teams about capacity, not just performance An honest read on where their current culture rewards urgency at the expense of judgement

Why organisations work with Kelly Mackin A research instrument leaders can actually use. The Motives Met Human Needs Assessment surfaces the 28 psychological, emotional, and social needs that drive a specific employee, team, or culture, replacing one-size-fits-all engagement scores with personalised data. A direct challenge to universal hierarchy thinking. Mackin’s research argues that Maslow-style and engagement-survey frameworks misrepresent how needs actually distribute across a workforce, and gives leaders a defensible alternative. Award-winning published work. Work Life Well-Lived is a Nonfiction Authors Association Bronze Award winner and an Amazon best-seller in its category, giving senior buyers a citable reference point. Practical depth beyond keynote theatre. Mackin trained as a cognitive behavioural coach and meditation teacher and runs assessments, workshops, and leadership accelerators, so the keynote connects to a delivery system the organisation can run after she leaves. Biography highlights CEO and co-founder, Motives Met, the workplace well-being platform behind her research. Author of Work Life Well-Lived: The Motives Met Pathway to No-B.S. Well-Being at Work (Greenleaf Book Group, 2024). Nonfiction Authors Association Bronze Book Award winner. Creator of the Motives Met Human Needs Assessment, identifying 28 motives that drive thriving at work. BA in Communications, Wittenberg University; certified cognitive behavioural therapy practitioner and meditation teacher. Host of DisruptHR San Diego; featured in Authority Magazine and the Human Capital Innovations webinar series. Biography Most workplace well-being programmes assume that everyone is motivated by the same things in roughly the same order. That assumption shapes every engagement survey, every wellness benefit, every “top reasons people quit” list. It is also wrong. Kelly Mackin’s research at Motives Met identifies 28 distinct psychological, emotional, and social motives, and shows that the ranking varies sharply between individuals, teams, and roles. The work sits inside Motives Met, the platform she co-founded and leads as CEO. Its core instrument, the Human Needs Assessment, surfaces an individual’s top motives and maps them against the conditions a manager or organisation is actually providing. The output is a usable diagnostic for leaders who have run out of patience with engagement scores that do not tell them what to do next. Her 2024 book, Work Life Well-Lived: The Motives Met Pathway to No-B.S. Well-Being at Work, became an Amazon category best-seller and won a Bronze Book Award from the Nonfiction Authors Association. The technical foundation comes from her training as a cognitive behavioural therapy practitioner and meditation teacher, which she pairs with quantitative research methods to keep the framework empirical rather than inspirational. For HR and culture leaders, the relevance is operational. Mackin gives them a vocabulary for the gap between what a workforce reports on a survey and what individual people actually need from their work, and a measurement layer they can act on across hybrid teams, multigenerational workforces, and post-restructure cultures. Key speaking topics Workplace well-being and the science of thriving at work Psychological needs and motivation at work Human-first leadership and management practice Stress, burnout, and work-life harmony Psychological safety and emotional inclusion Culture design for hybrid and multigenerational teams Ideal for CHROs and heads of people redesigning engagement and well-being strategy Culture, DEI, and talent leaders responsible for retention and inclusion outcomes Senior managers and team leaders running large or multigenerational teams Leadership development and L&D heads designing manager capability programmes Audience outcomes A working understanding of the 28 motives framework and how it differs from Maslow and engagement-survey models Specific questions leaders can ask their teams to surface individual motives, not just aggregate sentiment A diagnostic lens on where current well-being and engagement spend is misaligned with actual employee needs Language and structure for conversations on burnout, work-life harmony, and psychological safety A clearer link between well-being investment and performance outcomes leaders can defend internally

Why organisations work with Riaz Shah He has run reskilling at a scale almost no academic or consultant has matched: more than 400,000 employees and 24 million hours of learning a year inside EY. He built the EY Tech MBA, one of the first corporate degree programmes to put technology fluency at the centre of professional services training, and can speak about what it took to make it work. His authority on the future of work rests on operating responsibility, not research alone. He has been the executive on the hook for the budget, the platform choices and the outcomes. He chairs One Degree Academy, a free school for children in an underserved part of London now ranked among the world’s top ten in the Overcoming Adversity category of the World’s Best School Prizes. His argument that learning design matters at scale is supported by results, not theory. His OBE for Services to Education, awarded by HM King Charles III in 2023, signals that the credibility is recognised beyond the corporate audience. Biography highlights Professor of Practice for Innovation & Leadership, Hult International Business School. 27 years as a partner at EY, including Global Learning Leader, Managing Partner of London Assurance and Chief Operations Officer for EMEIA Markets. Architect of the EY Tech MBA, deployed across a workforce of more than 400,000 professionals. OBE for Services to Education, 2023. Founder and Chair of One Degree Academy, a Top 10 finalist for the World’s Best School Prize in the Overcoming Adversity category. Non-executive director, Genius Group (appointed July 2024). Biography Most large organisations have an AI strategy. Very few have a learning strategy capable of delivering it. That gap, between what a workforce is being asked to do next year and what it knows how to do today, is the specific problem Riaz Shah has spent the last decade inside. At EY, as Global Learning Leader, he carried operating responsibility for how more than 400,000 professionals were equipped for a market reshaped by automation, AI and digital platforms. His team delivered more than 24 million hours of learning a year and built the EY Tech MBA, a full corporate degree programme that put technology fluency at the centre of a professional services career. He had previously been Managing Partner of London Assurance and Chief Operations Officer for EMEIA Markets, so the work was anchored in commercial reality, not in the learning department’s preferences. He now teaches at Hult International Business School as Professor of Practice for Innovation & Leadership, where his sessions with senior executives concentrate on global megatrends, digital disruption and how organisations rebuild capability fast enough to keep up. He also chairs One Degree Academy, a state-funded free school for children aged 4 to 18 in an underserved part of London. The school is a Top 10 finalist in the Overcoming Adversity category of the World’s Best School Prizes, and is the practical expression of his argument that learning design, done seriously, scales. In 2023, King Charles III awarded him the OBE for Services to Education. He sits on the board of Genius Group, a Nasdaq-listed education business, and is a member of YPO. Key speaking topics AI and the future of work Reskilling and workforce transformation at scale Corporate learning as a strategic capability Innovation and growth mindset inside large organisations Generational shifts in the workplace Demographics and changing consumer attitudes Leadership in conditions of digital disruption Ideal for CHROs and Chief Learning Officers commissioning a workforce transformation tied to AI and automation. CEOs and executive committees of large services and knowledge businesses where the talent base is the product. Boards reviewing the capability assumptions inside a digital or AI strategy. Senior leadership conferences where the brief is to make the case for serious, not cosmetic, reskilling. Audience outcomes A sharper view of where the gap between AI ambition and workforce capability is biggest, and which gaps matter most commercially. A clearer picture of what corporate learning has to look like to keep pace with technology, drawn from running it at EY scale. An honest read on what worked and what did not in building the EY Tech MBA, with the operational detail intact. A more confident sense of how to talk to a workforce about AI without losing trust.

Why organisations work with Sol Rashidi She has personally led AI and data deployments inside Estee Lauder, Merck, Sony Music, Royal Caribbean, and Amazon Web Services, so the advice is field-tested rather than theoretical. She wrote Your AI Survival Guide (Wiley, 2024), the practical deployment playbook that boards and CIOs have started to use as a reference text for moving past pilots. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center, she is shaping AI policy thinking at the level boards now have to engage with. She talks credibly to two audiences in the same room: technical leaders who need the architecture to be right, and executive teams who need the commercial and workforce implications spelled out. Her current role as Chief Strategy Officer for Data and AI at Cyera keeps her live inside the AI security and governance conversation that boards are being asked to own. Biography highlights Chief Strategy Officer for Data and AI at Cyera since April 2025. Senior Fellow 2025 to 2026 at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government. Author of Your AI Survival Guide (Wiley, 2024), a Top 100 AI book of 2024. Former four-time Fortune 100 C-suite executive: Estee Lauder, Merck, Sony Music, Royal Caribbean. Division Head of Technology, Startups, North America at Amazon Web Services. Holds 10 patents in data and AI; named Forbes “AI Maverick of the 21st Century” and to multiple Top 100 AI Leaders and Top 50 Women in Tech lists. Biography Most enterprise AI programmes look identical from the outside and fail in different ways on the inside. The strategy decks are confident. The pilots run. Then the operating model, the data foundation, or the workforce conversation breaks the deployment before it scales. Sol Rashidi has spent a career on the operator side of that problem, and now advises the boards and executive teams who own it. She helped launch IBM Watson in 2011, then became the first Chief Data and AI Officer in a Fortune 500 company. Across the next decade she ran data, analytics, and AI organisations as a four-time C-suite executive at Estee Lauder, Merck, Sony Music, and Royal Caribbean, and led the Startups technology division for Amazon Web Services in North America. The result is a practitioner record measured in 30 to 200+ AI deployments inside large enterprises, not in conference panels. That record is now packaged in two formats. Your AI Survival Guide (Wiley, 2024) is the playbook for non-technical leaders running real deployments, structured around strategy, use case selection, design, implementation, and long-term operations. As Senior Fellow at Harvard Kennedy School’s Mossavar-Rahmani Center for Business and Government, she is developing an ontological framework for AI policy aimed at aligning government and business on what the technology actually is and how it should be governed. Her current operating role as Chief Strategy Officer for Data and AI at Cyera keeps her inside the AI security and governance debate that boards are now expected to lead. She holds 10 patents, has been named Forbes “AI Maverick of the 21st Century,” and has been recognised across multiple Top 100 AI and Top 50 Women in Tech rankings. The reason senior buyers keep coming back is simpler than the credentials: she has shipped this work, and she will tell a room what actually happens when you try. Key speaking topics Enterprise AI deployment and operating model AI governance, security, and responsible deployment Workforce redesign in the age of AI Data strategy and enterprise data readiness AI for boards and executive teams Post-AI organisational design Innovation discipline inside large enterprises Ideal for Boards and executive committees deciding how to own AI strategy and risk CDOs, CIOs, CTOs, and Chief AI Officers moving from pilots to enterprise deployment CHROs and transformation leads redesigning the workforce around AI capability CISOs and risk leaders building AI governance and security frameworks Audience outcomes A clearer view of where their AI programme actually sits on the path from pilot to enterprise deployment. A workable mental model for AI governance and security at board level, not a compliance checklist. A direct read on what the workforce conversation looks like once AI starts to land in operations. Specific deployment lessons drawn from named Fortune 100 environments, not abstract case studies. Confidence in deciding what to build, what to buy, and what to leave alone.