Agentisk AI speakers

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 Ashlea Atigolo She has co-built a generative AI product, Finley AI, that has been recognised on the WealthTech100 2024 list, so the advice she offers boards is grounded in shipped technology rather than commentary. She brings a regulated-industry lens. Her work spans wealth management, private equity and fintech, where the question is not whether to deploy AI but how to do it without breaking trust, compliance, or customer relationships. She is a credible voice on women in AI without leaning on the topic alone. The named recognition (TechRound Top 64 Women in Tech, Great British Businesswoman finalist, Fintech Powerlist) sits alongside the technical and commercial credentials. She is equally fluent as a keynote speaker, panel host and workshop facilitator, which makes her a flexible fit for AI summits, leadership offsites and investor-facing events. Biography highlights Co-founder of INATIGO, a generative AI venture builder. Co-founder of Finley AI, listed on the WealthTech100 2024. Managing Partner at Consult Venture Partners, advising executives on generative and agentic AI adoption. Former Co-Founder and Co-Managing Director of City Wharf Private Wealth, awarded Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Listed on TechRound’s Top 64 Influential Women in UK Technology (2022) and named on the Fintech Powerlist. Speaker and host at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit. Biography Most organisations have an AI strategy. A much smaller number have AI in production, talking to customers, sitting inside regulated workflows and answering to a compliance function. Ashlea Atigolo works at that second layer. As co-founder of INATIGO and its flagship product Finley AI, listed on the WealthTech100 2024, she has built generative AI systems for personal finance rather than written about them. Her route into AI was operational, not academic. Before INATIGO she co-founded City Wharf Private Wealth, where her co-leadership won Europe’s Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. That background gives her advisory work a distinctive cast. She understands wealth, private equity and fintech as live operating environments, not case studies, and her current role as Managing Partner at Consult Venture Partners is built on that. Her independent recognition is dense and recent. She has been named on TechRound’s Top 64 Influential Women in UK Technology, included on the Fintech Powerlist, and shortlisted as a finalist for the Great British Businesswoman Awards in technology. She has advised Adobe directly and has been engaged through GLG, AlphaSense and GuidePoint by executives in fintech, private equity and financial services. On stage she is most useful to organisations that need a builder’s view of generative and agentic AI: what to deploy, what to delay, how to govern it, and where the human still has to sit inside the workflow. She hosts and keynotes at Fintech Week London, Fintech Connect and Chatbot Africa AI Summit, and is equally credible in a board workshop as on a main-stage panel. Key speaking topics Generative and agentic AI in financial services AI product strategy and deployment in regulated industries Conversational and empathetic AI design Responsible AI, trust and governance Fintech and wealth management innovation Women in AI and inclusive technology teams Leadership through technological disruption Ideal for Boards and executive committees in financial services, wealth management, private equity and fintech sizing up generative or agentic AI investments. CIO, CTO, CDO and Head of Innovation audiences moving from AI pilots into operating deployment. Fintech, AI and wealth-management conferences looking for an operator-speaker rather than a commentator. Internal AI summits, leadership offsites and women-in-tech programmes inside large enterprises. Audience outcomes A clearer picture of where generative and agentic AI is genuinely production-ready in regulated industries, and where it is not. A working vocabulary for governance conversations: agents, guardrails, oversight, human-in-the-loop. A view of how a builder, not a vendor, sequences AI adoption inside a regulated business. Named examples of fintech and wealth-management deployments that buyers can take into their own strategy conversations.

Why organisations work with Christer Holloman He built the playbook he now teaches. As founder and CEO of Divido, he scaled a white-label Buy Now Pay Later platform to 10 countries and an exit into NatWest, raising roughly $50 million from American Express and Sony along the way. His book “Transactional to Transformational: How Banks Innovate” is built on named case studies from Bank of America, BBVA, Citi, Deutsche Bank, ING, J.P. Morgan, Lloyds and Santander, not generic frameworks. He has been on the bank side as HSBC’s first Entrepreneur in Residence, so he speaks to incumbents from inside their own constraints, not as an outsider throwing stones. He works at the live edge of fintech: digital assets, open banking as a commercial play rather than a compliance exercise, and the shift from agentic AI into agentic commerce. Swedish by background, London and New York by career, multilingual, and at ease in a boardroom with both a retail CEO and a risk committee. Biography highlights Founder and CEO of Divido (2014-2022); company acquired into NatWest in 2024. Author of “Transactional to Transformational: How Banks Innovate” (Wiley, 2021). Author of “The Social Media MBA” series and “How to Sell Online” (Wiley). Entrepreneur in Residence, HSBC (2022-2023). Co-founder and CEO of sustainable finance platform Credential. MBA, Said Business School, University of Oxford. Forbes contributor on fintech; former tech writer for Sky News. Biography Buy Now Pay Later looked like a retail feature before it looked like an asset class. Divido, the company Christer Holloman founded out of an Oxford MBA thesis in 2014, was one of the first platforms to treat it as infrastructure: a white-label product that banks and lenders could plug into any merchant, in any country, without rebuilding their own stack. By 2022 the business had raised around $50 million from investors including American Express and Sony, operated in 10 markets, and counted Mastercard, BMW and HSBC among its clients. In 2024 it became part of NatWest. That operator experience is the spine of everything he now teaches. After Divido, HSBC made him their first Entrepreneur in Residence, an unusual role that put a founder inside one of the world’s largest banks to challenge how it builds, buys and partners on new technology. It is also the reporting line behind his Wiley book “Transactional to Transformational: How Banks Innovate”, a collection of case studies drawn from named executives at Bank of America, BBVA, Citi, Deutsche Bank, ING, J.P. Morgan, Lloyds, Santander, Standard Chartered and others. The thesis is unsentimental: incumbents can innovate, but only when the operating model, not the PR team, gets redesigned. He has since moved to New York, co-founded the sustainable finance platform Credential, and continued to write for Forbes on fintech. Earlier in his career he launched Glassdoor in Europe for Rich Barton and ran digital product at The Times and The Sunday Times, which gives him a media-trained way of explaining complex regulated products to non-specialist audiences. What senior audiences get is someone who has raised the money, signed the bank partnerships, lived with the compliance questions and then written the book. He is particularly sharp on where AI, digital assets and embedded finance are about to collide inside balance-sheet businesses, and on the specific question of what serious incumbents should do about it. Key speaking topics Fintech and the future of banking Open banking as commercial strategy Digital assets and tokenisation Agentic AI and agentic commerce Buy Now Pay Later and embedded finance Innovation inside regulated industries Scaling a venture from founder to exit Ideal for Bank and insurance executive committees, innovation boards and retail banking leadership CDOs, CIOs and heads of innovation in financial services and large regulated enterprises Fintech, payments and retail finance conferences Corporate venture and M&A teams assessing fintech partnerships or acquisitions Audience outcomes A clear read on how incumbent banks are actually innovating right now, drawn from named case studies rather than consulting templates. Practical judgement on when to build, when to partner with a startup, and when to acquire. A working view of where open banking, digital assets and agentic commerce are converging into the next retail financial product. Founder-level honesty about what it takes to sell into, partner with and exit to a large bank.

Why organisations work with David Rowan He runs the climate-tech and health-tech investment funds at Voyagers and has personally backed more than 180 early-stage tech companies. The view he brings to a board is from active deal flow, not from a research summary. Nine years editing WIRED UK gave him direct working relationships with the founders of WhatsApp, LinkedIn, Google, Spotify, Didi, Xiaomi and Nest while those companies were still being built. He reports on the frontier from inside the rooms where it is designed. His Penguin bestseller Non-Bullshit Innovation came out of a 20-country investigation into what real corporate innovation looks like once the theatre of accelerators and chief disruptive growth officers is stripped away. Boards get a tested set of strategies, not a list of trends. Every talk is researched and built around the sector in the room. Recent briefs include aviation (SITA), insurance, automotive after-market, real estate, luxury fashion and television. He converts frontier technology into the decisions a CEO has to take this quarter. Repeat clients include Goldman Sachs, JP Morgan, Google, Sky, Salesforce and Warner Bros. Biography highlights Founding Editor-in-Chief of WIRED UK, 2008-17 Author of Non-Bullshit Innovation (Penguin); Amazon #1 business bestseller; Financial Times Business Books of the Month; translated into Japanese, Korean, Russian and Ukrainian 900+ keynotes globally; event moderator for the World Economic Forum, the UK and French governments, the G8 Innovation Conference, the Royal Academy of Engineering and GITEX Dubai Technology columnist for The Times, GQ, Condé Nast Traveller and The Sunday Times Investor in 180+ early-stage tech companies; named unicorns include Grammarly, Improbable, Maven Clinic, Cerebral, Commure, Rebellion Defense, Kitopi and Onfido Founder of Voyagers; manager of its climate-tech and health-tech investment funds; adviser to Lakestar Biography The length of task an AI agent can autonomously complete is doubling every seven months. Autonomous robots are already running factory shifts. Most boards are setting strategy from briefings that pre-date both. David Rowan’s working life sits inside the gap between those two realities. As founding Editor-in-Chief of WIRED UK, he built working relationships with the founders of WhatsApp, LinkedIn, Google, Spotify, Didi, Xiaomi and Nest while those companies were still scaling. He has since backed more than 180 early-stage tech companies, eight of which have reached unicorn valuations: Grammarly, Improbable, Maven Clinic, Cerebral, Commure, Rebellion Defense, Kitopi and Onfido. He now runs the Voyagers climate-tech and health-tech investment funds. His Penguin bestseller Non-Bullshit Innovation came out of a 20-country investigation into how incumbent businesses actually generate new value, once the theatre of accelerators and chief disruptive growth officers is set aside. The book was named a Financial Times Business Book of the Month and translated into Japanese, Korean, Russian and Ukrainian. Its argument is that genuine innovation is a discipline with specific, testable strategies. His next book is on culture as the differentiating asset for organisations in an era when AI risks commodifying everything else. Repeat clients include Goldman Sachs, JP Morgan, Google, Sky, Salesforce and Warner Bros. He moderates for the World Economic Forum, the UK and French governments, the G8 Innovation Conference and the Royal Academy of Engineering. His stated KPI for a keynote: leave the audience 91% excited about the future, and 9% afraid. Key speaking topics AI strategy for established businesses Exponential technology and industry disruption Innovation as a managed discipline inside incumbent organisations The future of work in the age of AI agents Culture and talent strategy under AI commodification Sector-specific technology foresight Ideal for CEOs and boards setting AI strategy for established businesses CHROs and Chief People Officers reshaping talent strategy as AI changes the shape of work Chief Innovation, Digital and Strategy leaders translating frontier technology into operating decisions Senior leadership teams in sectors facing acute technology disruption: finance, real estate, aviation, media, healthcare, insurance, automotive Audience outcomes A clearer separation of what is genuinely real at the AI frontier from what remains hype A practical triage of technology decisions: what to fund this quarter, what to pilot, what to ignore The 17 strategies from Non-Bullshit Innovation, applied to the audience’s own sector A sector-specific reading of what AI agents are likely to do to operating models and headcount over the next 24 months

Why organisations work with Elemi Atigolo He has put a generative AI product through UK financial regulation. Finley AI worked with the FCA Advice Unit on guidance models before evolving into an agentic financial AI agent that institutions integrate by API, which gives him a reference point on supervision and compliance that few AI speakers hold. He has handled the work he now advises on. A wealth manager at HSBC and a partner at St. James’s Place before he co-founded City Wharf Private Wealth, he has dealt with client suitability and adviser workflow first-hand. His thinking is on the record. His 2026 paper on the Agentic Profit Paradox sets out how agentic AI can improve client outcomes while weakening the human-bounded revenue that funds a firm’s margins, which reframes AI from an efficiency question into a question about the business model itself. He works at executive level, not only with technology teams. At Consult Venture Partners he advises boards on where generative and agentic AI changes the operating model and the economics, a conversation that needs someone who has carried both commercial and regulatory responsibility. Biography highlights Managing Partner and co-founder of Consult Venture Partners, advising boards on generative and agentic AI adoption. Founder of the Autonomy Economics framework and author of the 2026 paper “The Agentic Profit Paradox and the Reorganisation of Value Capture”. Co-founder of INATIGO (WealthTech100 2024, selected by FinTech Global from 1,300 companies) and lead developer of Finley AI, now an agentic financial AI agent delivered by API, which engaged the FCA Advice Unit on guidance models. Former HSBC Wealth Manager and former partner at St. James’s Place; co-founder of City Wharf Private Wealth, Highly Commended for Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Member of the Forbes Advisor Advisory Board (since October 2024) and the MIT Technology Review Global Insights Panel; named in the Powerlist Top 30 Tech Titans 2021 for Fintech and Data (Refinitiv/LSEG) and a UK FinTech Awards “Innovator of the Year” finalist. Contributor to FT Adviser and The Banker; featured by The Wall Street Journal, the Financial Times, BBC, CNBC Africa, IBM, and Wealth Adviser; speaker at an Economist Impact summit (2023). Holds a BSc in Computer Science and Distributed Information Systems and an MA in Accounting and Finance. Biography Finley AI went through the UK Financial Conduct Authority’s Advice Unit before most banks had written an AI policy. Built by INATIGO, the company Atigolo co-founded, it began in 2019 as a conversational assistant. It now runs as an agentic financial AI agent that institutions integrate by API. That history anchors his work, at the point where AI in finance meets supervision and the realities of client suitability. His route into AI is unusual. He managed client portfolios at HSBC, became a partner at St. James’s Place, and co-founded City Wharf Private Wealth, a digital wealth firm recognised at the 2021 WealthBriefing European Awards. He has sat on both sides of the client relationship and the technology that now reshapes it. His current research turns that experience into an argument. In a 2026 paper he set out the Agentic Profit Paradox: firms adopt agentic AI to stay competitive, and in doing so erode the human-bounded revenue that produced their margins. He calls the wider field Autonomy Economics, the study of how value capture and commercial defensibility shift once work no longer needs continuous human direction. For a board, the question is rarely what AI can do, and almost always what to build, what to buy, what to govern, and what it does to the business model. Through Consult Venture Partners, where he is Managing Partner, Atigolo answers it as someone who has both written the models and signed the client suitability forms. Key speaking topics Generative AI in financial services AI agents and conversational interfaces in wealth management AI, regulation, and the FCA AI product strategy for regulated firms Client experience and adviser workflow in an AI-enabled firm Fintech innovation and WealthTech AI adoption for finance leaders Ideal for CEOs, COOs, and boards in banking, wealth, asset management, insurance, and private capital setting AI strategy Chief Technology, Data, and AI Officers scoping generative and agentic AI deployment in regulated environments Heads of Advice, Distribution, and Client Experience reworking the adviser-client model Compliance, risk, and regulatory leads assessing AI governance, and executives weighing what autonomous systems do to margins and operating models Audience outcomes A clear view of where generative and agentic AI is already viable in regulated financial services, and where it is not A working vocabulary for AI agents, conversational interfaces, and the governance questions behind them A sharper read on what the FCA and comparable regulators expect when AI touches client guidance A realistic picture of what changes for advisers, clients, and operating models when AI moves from pilot to live A view of how agentic AI can strengthen client outcomes while undermining the revenue that historically funded them, and what that means for strategy

Why organisations work with Kemal Apaydin He speaks from the builder’s seat. He is currently building an AI product that prices and anticipates risk for health insurers, so his read on where agentic AI works and where it breaks comes from shipping it. He connects the frontier to the decision that follows it. His sessions take a live example such as the open-source agent OpenClaw and turn it into the choice leaders actually face: how much autonomy to delegate, and where to keep a human. He has built at the edge of more than one technology cycle. Before AI he founded one of Turkey’s early blockchain communities, which gives him a pattern-level view of how emerging technology moves from hype to infrastructure. He treats privacy and human agency as design questions, not disclaimers. That framing is useful for organisations that want the upside of autonomous systems without signing away control of their data or their decisions. Biography highlights Founder of Alon Health, an AI product that uses wearable-device data to help health insurers assess and anticipate risk, based in Berlin. Alon Health went through Y Combinator. Founder of ARTI Innovation and a TEDx speaker (TEDxOZU, Özyeğin University). Founder of Blockfellow, an early blockchain community and co-working initiative in Turkey. Co-founder and CEO of Chain Networking, and co-founder of Shelly Sleep, a privacy-oriented sleep-diagnostic wristband. Studied at Bilkent University and completed executive study with Harvard Business School Online. Biography An open-source project called OpenClaw spread to tens of thousands of developers within days of launch, letting an AI agent read your messages and act across your accounts. That shift, from software that answers to software that acts, is what Kemal Apaydin works on. He builds in it rather than watching it. His company, Alon Health, applies the same idea inside insurance. It reads signals from wearable devices to help insurers anticipate risk and shape decisions about pricing and cover. Building it has given him a grounded read on where autonomous systems earn trust and where they lose it. This is not his first frontier. Before AI, he founded Blockfellow, an early blockchain community in Turkey, and ran education programmes that pulled hundreds of students from Istanbul universities into the field. The pattern across his work stays the same: get inside a technology while it is still forming, then figure out what it will mean once it settles. He can take a live system like OpenClaw and walk leaders through the question underneath it: how much of a purchase or a decision they will hand to software, and what they keep for a human. That conversation matters for any organisation weighing how far to let autonomy run. The harder one sits right behind it. When an agent acts on someone’s behalf and gets it wrong, who is accountable? Key speaking topics Autonomous and agentic AI Personal AI assistants Enterprise AI strategy and adoption Designing and deploying autonomous AI workflows AI governance, safety, and responsible autonomy Privacy and human agency in AI systems Applied AI in insurance and risk Ideal for Chief technology and chief information officers weighing where to deploy agentic AI and where to hold back Innovation and digital transformation leaders who want a builder’s read on personal AI, not a vendor pitch Strategy teams and boards mapping how autonomous systems change products and accountability Insurance and financial services leaders looking at AI-driven risk and the data questions it raises Audience outcomes They leave knowing what today’s AI agents can actually do, and what the demos leave out, drawn from systems already in use. A working test for deciding which tasks to hand to autonomous software and which to keep under human control. The governance and accountability questions to settle before an agent acts on the organisation’s behalf. A builder’s view of where agentic and personal AI are heading, and what it changes for their sector.

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 Mike Walsh He works on the leadership and operating-model question that AI keynotes usually skip: who decides, with what data, supported by which machine systems, and what that means for org design. His thesis is published, not improvised. The Algorithmic Leader (Page Two, 2019) sets out ten principles for leading in the algorithmic age and has been translated into Chinese, Japanese, Korean, German, Polish and Russian. His next book, Abundant Intelligence, is being published by Harvard Business Review Press with Deloitte’s Global Head of AI Nitin Mittal, giving boards a current reference point on hybrid human and machine workforces. He brings in-the-room exposure to Fortune 500 reinvention programmes through Tomorrow, with named advisory work across the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa. He writes for the audience he speaks to. As a regular Harvard Business Review columnist, his arguments are pressure-tested with the same readers buying him. Biography highlights CEO of Tomorrow, a global consultancy on designing companies for the 21st century. Author of The Algorithmic Leader (Page Two, 2019), translated into six languages. Forthcoming book Abundant Intelligence with Harvard Business Review Press, co-authored with Deloitte’s Global Head of AI, Nitin Mittal. Regular Harvard Business Review columnist; bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal. Host of the Between Worlds podcast and the YouTube series The Future is Elsewhere. Founder of Jupiter Research in Asia Pacific and former senior strategy executive at News Corporation in the region. Biography Boards now buy AI tools faster than they redesign the organisations using them. The Algorithmic Leader, published by Page Two in 2019, was an early attempt to put that mismatch into a framework senior leaders could use, with ten principles for working in an environment where machine systems share the decision load. The book has since been translated into Chinese, Japanese, Korean, German, Polish and Russian. The work sits inside a longer career arc. Tomorrow, the consultancy Walsh founded in Hong Kong, advises CEOs and executive teams of multinationals including the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa on reinvention in the algorithmic age. Earlier roles include founding Jupiter Research in Asia Pacific, an early tracker of e-commerce and digital business adoption, and senior strategy positions at News Corporation in the region. Publishing has been the spine of the practice. Futuretainment, published by Phaidon in 2009, won an Art Directors Club design award in New York. The Dictionary of Dangerous Ideas followed in 2014. As a regular Harvard Business Review columnist, with bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal, Walsh writes for the same audience he advises and speaks to. The forthcoming work is where the operating-model question gets sharper. Abundant Intelligence, due from Harvard Business Review Press, is co-authored with Nitin Mittal, Deloitte’s Global Head of AI, and examines how organisations orchestrate hybrid human-and-machine workforces. The thread across the books, the consultancy and the keynotes is consistent: the leadership question, not the technology question, is the one boards keep underestimating. Key speaking topics Algorithmic leadership and decision-making AI agents and digital labour Designing organisations for the 21st century Disruptive innovation and new business models Digital ethics in machine-led decisions The future of work in an AI-driven economy Strategic foresight for senior leaders Ideal for Boards and executive committees setting AI strategy beyond pilots CEOs, COOs and Chief Strategy Officers redesigning operating models Chief AI Officers, Chief Digital Officers and transformation leads Leadership and learning programmes preparing senior cohorts for AI-era decision-making Audience outcomes A clearer language for the leadership question inside AI investment, not just the technology question A framework, drawn from The Algorithmic Leader, for ten shifts in how senior teams decide and operate Named cases of how multinationals are restructuring around hybrid human-and-machine work A sharper view of which executive habits, hiring patterns and decision rights age badly in an AI-driven business A working definition of digital labour and what it changes for org design, talent and accountability

Why organisations work with Oliver Leisse A live trend-research operation behind every keynote. SEE MORE runs ethnographic fieldwork across more than 50 global cities, so the material is observed evidence, not desk-research speculation. A specific point of view on the AI agent shift. His 2024 book “The Age of Agents” with Tim Cortinovis sets out what changes when software stops waiting for prompts and starts acting on goals. A named framework leadership teams can use after the room empties. The Four Metatrends (Commitment, Convenience, Creativity, Connection) and the Consumer Trend Circle give clients a reusable structure for trend triage. Two decades of strategy work for brands including Deutsche Bank, TUI, Henkel, Microsoft, Google, REWE and Deutsche Post. The frame of reference is commercial planning, not academic forecasting. Bilingual delivery in English and German for European audiences who want substance in either language. Biography highlights Founder of SEE MORE, Future Research and Development, Hamburg (2008). Founder of EARSandEYES GmbH (1997), an early online market and trend research institute. Former strategy consultant at DDB, TBWA, BBDO and Springer & Jacoby. Author of “Be prepared” (Haufe Verlag, 2012; 2nd ed. 2014), “So geht Zukunft” (Edel, 2020), “The Age of Agents” (2024), and “Die Zukunft der Gastro” (Deutscher Fachverlag, 2024). Named clients include Deutsche Bank, TUI, Henkel, Microsoft, Google, Deutsche Post, REWE, Burda and AON. SEE MORE conducts qualitative ethnographic research across more than 50 global metropolitan markets. Biography Most futurist content arrives at boards as desk research dressed up in graphics. The signal-to-noise ratio is poor, and the planning horizon is rarely operational. SEE MORE was built to produce something different: ethnographic field observation across more than 50 global cities, fed back into commercial strategy work for organisations that need a defensible view of the next three to five years. The institute’s founder spent the first part of his career as a strategy consultant inside DDB, TBWA, BBDO and Springer & Jacoby. In 1997 he set up EARSandEYES, one of the early online market and trend research firms. SEE MORE followed in 2008. Clients have included Deutsche Bank, TUI, Henkel, Microsoft, Google, Deutsche Post, REWE and Burda. The current centre of gravity is AI agents and what they mean for operating models. The 2024 book “The Age of Agents”, co-written with Tim Cortinovis, argues that the shift from prompted assistants to goal-directed agents changes how work is structured, not just how it is automated. That argument runs through his current keynote material on automation, customer evolution and the future of work. What separates this work from the broader futurist field is the discipline of the underlying method. The Four Metatrends framework (Commitment, Convenience, Creativity, Connection) and the Consumer Trend Circle give leadership teams a reusable structure for triaging weak signals. Both are anchored to observed behaviour in named markets, which is what makes them usable in a planning conversation. Key speaking topics Artificial intelligence and AI agents Future of work and leadership Customer evolution and consumer behaviour Automation and the operating model Trend research and strategic foresight Generation Z and changing workforce expectations Retail and customer experience disruption Ideal for Boards and executive committees setting three-to-five year strategy under AI and automation pressure CMOs and customer experience leads tracking consumer behaviour shifts across European and global markets HR and transformation leads redesigning work around AI-agent capability Innovation and strategy teams looking for a structured trend-triage method Audience outcomes A clearer read on which AI and consumer-behaviour signals matter for the next planning cycle, and which can be deprioritised. A working understanding of the Four Metatrends framework and how to apply it to a specific business unit. A specific point of view on AI agents as an operating model question, not a tooling question. Named examples from observed consumer behaviour in global metropolitan markets, drawn from SEE MORE field research.

Why organisations work with Purna Virji At Microsoft and LinkedIn she worked the commercialization layer for emerging AI, shaping the strategy and market narratives that decide whether a new capability reaches and convinces a market. She speaks to the gap between what a product can do and what customers adopt from direct operating experience, not observation. She gives executive teams a way to measure AI by business outcomes rather than activity, replacing “time saved” and tokens used with quality lift, scope growth, and capability unlock, the language finance and boards will fund. Her Agent-Led Growth work maps a shift most leaders have not yet priced in: customers delegating discovery and purchase decisions to AI agents, and what that does to how brands get found and trusted. She wrote the award-winning High-Impact Content Marketing (Kogan Page), recognised as a Choice Outstanding Academic Title, which grounds her credibility in published, peer-recognised work rather than conference reputation alone. Biography highlights More than a decade across Microsoft and LinkedIn in AI commercialization, go-to-market, and customer engagement, including Senior Manager of Global Engagement at Microsoft and Principal Consultant, Content Solutions at LinkedIn. Author of High-Impact Content Marketing (Kogan Page, 2023), a Choice Reviews Outstanding Academic Title (2024) and Goody Business Book Award winner. Creator of the Agent-Led Growth newsletter, publishing original frameworks on agentic commerce, AI adoption, and trust as a ranking factor. Named the #1 Most Influential PPC Expert in the World (PPC Hero, 2016), an Adweek Young Influential (2018), and Search Personality of the Year (US Search Awards). Honoured Listee, Marquis Who’s Who in America (2023). Has keynoted in more than 20 countries; work featured in Adweek, The Drum, TNW, Search Engine Land, and Search Engine Journal. Biography Most AI initiatives do not fail in the lab. They fail in the gap between a working model and a customer who changes nothing about how they work. Purna Virji has spent her career inside that gap, at the point where AI commercialization, go-to-market strategy, and customer behaviour meet. That vantage point is unusual. She spent more than a decade at Microsoft and LinkedIn in commercialization and go-to-market work, latterly focused on emerging AI, where she shaped the strategy and market narratives that decide whether a new capability earns trust and gets adopted. She has seen the failure modes up close, from unclear value to a customer journey that asks too much too soon. Her published work carries the same argument. High-Impact Content Marketing (Kogan Page) was named a Choice Reviews Outstanding Academic Title, and her Agent-Led Growth newsletter tracks the next shift: customers handing discovery, comparison, and purchase decisions to AI agents acting on their behalf. The implication for brands is direct. Influence moves from catching a person’s eye to earning an agent’s confidence. What she brings to a leadership audience is a way to argue about AI in board language. She reframes success away from time saved and tasks completed toward quality lift, scope growth, and capability unlock, the outcomes that survive a finance review. Her Agent-Led Growth research names the real blocker directly: the Delegation Gap, the distance between what AI can technically do and what people are ready to hand over. For executives funding AI and seeing experimentation rather than impact, closing that gap is the work. Key speaking topics AI commercialization and adoption Agentic commerce and AI-led customer journeys Measuring AI business impact and ROI Go-to-market strategy for AI products Trust, discovery, and brand visibility in the AI era AI-driven sameness and competitive differentiation Ideal for Executive teams and boards funding AI initiatives and asking what return they are getting AI transformation leads, CTOs, and product leaders moving from pilot to deployment CMOs and revenue leaders facing the shift to agent-led discovery and commerce Enterprise B2B and SaaS organisations whose growth depends on AI adoption by customers Audience outcomes A framework for tying AI initiatives to outcomes a board will fund: quality lift, scope growth, capability unlock, rather than activity metrics. A clear picture of how agent-led customer journeys change discovery, trust, and where buying influence sits. A diagnosis of why specific AI initiatives stall at the pilot stage, and where the product-to-market handoff breaks. A way to spot where AI-driven sameness enters content and customer experience, and how to design for differentiation from the start.

Why organisations work with Saakshar Duggal He argues AI and cyber matters as a practising advocate at the Delhi High Court, so his guidance on governance reflects how liability is actually contested in practice. He helps run the Artificial Intelligence Law Hub and advises Cyberlaw University, which gives him early sight of how AI regulation and agentic-AI liability are taking shape in India. He builds AI literacy for teams with no legal background, turning governance obligations into decisions a product or operations lead can make on Monday. A prolific TEDx speaker who also coaches other specialists on speaking, he can take a subject as dry as AI liability to a full workforce or a board and hold the room. Biography highlights Practising advocate at the Delhi High Court, specialising in AI and cyber law. Chief Marketing Officer of the Artificial Intelligence Law Hub and Adviser, Academic Outreach at Cyberlaw University. Member of the Forbes Communications Council. Author of “Cybercrimes During Covid-19 & Legal Issues in India”. Speaker at the 2025 Global Summit on Artificial Intelligence, Emerging Tech Law and Governance, on the legal questions raised by quantum and AI. Has delivered more than 20 TEDx talks on AI law and cyber issues. Biography Most organisations are adopting AI faster than anyone inside them can explain what it is legally allowed to do. Marketing runs generative tools, operations automates decisions, and the legal function is brought in after the fact, if at all. The gap between what the technology can do and what the organisation understands about it keeps widening. This is the terrain Saakshar Duggal works in. He argues AI and cyber matters as a practising advocate at the Delhi High Court, and helps run the Artificial Intelligence Law Hub, one of India’s dedicated centres for AI legal and governance work. His reading of AI liability comes from live cases and forming regulation. Duggal is also unusually good at being heard. He has delivered more than twenty TEDx talks on AI law, sits on the Forbes Communications Council, and coaches other specialists on how to hold an audience. On a topic that usually reaches people as dense regulation, that is what gets a workforce or a board to engage with it. His current focus is the hardest part of the field. At the 2025 Global Summit on Artificial Intelligence, Emerging Tech Law and Governance, he took on the legal questions thrown up by quantum and AI together. The sharper commercial version is agentic AI: once software takes actions no one authorised in advance, the question of who is liable stops being theoretical and lands on the company that deployed it. Key speaking topics AI governance for corporates Legal liability of agentic AI AI literacy for non-technical teams Regulation of artificial intelligence Cyber law and cybercrime Deepfakes and AI-enabled fraud Data protection and digital responsibility Ideal for General counsel and legal teams setting AI usage and liability policy Chief AI officers, CTOs, and transformation leads deploying AI or agentic systems Boards and risk committees weighing AI governance and exposure Whole-workforce sessions building AI and cyber literacy across non-technical staff Audience outcomes A clear view of where legal liability actually sits when an AI or agentic system causes harm Governance steps a non-legal team can apply to real AI deployment decisions The vocabulary to question vendors and internal teams about AI risk with confidence A working knowledge of common AI-enabled fraud and deepfake tactics, and the exposure they create for the business

Why organisations work with Sebastian Thrun He has shipped autonomous AI at production scale. The Stanford team he led won the DARPA Grand Challenge in 2005, and the Google self-driving project he co-founded became Waymo. He built the playbook that boards now ask about. Google X, founded under his leadership, codified moonshot methodology for capital-intensive technology bets. He has direct experience reskilling enterprise workforces in AI, data and cloud through Udacity, including programmes for IBM, Mercedes-Benz and Google before the 2024 acquisition by Accenture. He explains AI without dumbing it down. Senior audiences leave with a working sense of what current systems can and cannot do, and where the real operational risk sits. Biography highlights Co-founder of Google X and the Google self-driving car project that became Waymo Led the Stanford Racing Team whose vehicle Stanley won the 2005 DARPA Grand Challenge; Stanley now sits in the Smithsonian National Museum of American History Co-founder and chairman of Udacity, acquired by Accenture in 2024 to power the LearnVantage reskilling platform Co-founder and former CEO of Kitty Hawk, the eVTOL “flying car” company backed by Larry Page Member of the National Academy of Engineering and the German National Academy of Sciences Leopoldina; Smithsonian American Ingenuity Award (Education, 2012) Co-author of Probabilistic Robotics (MIT Press), the standard graduate text on the mathematics behind autonomous systems Biography Stanley crossed the finish line of the 2005 DARPA Grand Challenge after 132 miles of desert, the first autonomous vehicle to do so. The Stanford Racing Team that built it was led by Sebastian Thrun, then director of the Stanford Artificial Intelligence Laboratory. Stanley now sits in the Smithsonian. The technology grew into Waymo and the modern autonomous vehicle industry. That arc, from research lab to production AI, is what makes his perspective valuable to senior teams. He gave up tenure at Stanford to become a Google Fellow, co-founded Google X, and built the moonshot model that boards now reference when they talk about long-horizon technology bets. Probabilistic Robotics, the textbook he co-authored with Wolfram Burgard and Dieter Fox, remains the standard graduate reference in the field. The second half of his career addresses the constraint that most boards now feel acutely. Talent. Udacity, which he co-founded in 2012, built the Nanodegree model with employers including IBM, Mercedes-Benz and Google, then sold to Accenture in 2024 to anchor the LearnVantage reskilling platform. He also co-founded Kitty Hawk with Larry Page to commercialise eVTOL aircraft. Audiences get something specific from him. A clear read on what current AI systems do well, where they fail, what production deployment actually requires, and how to build a workforce that can operate the technology rather than admire it. Key speaking topics Production AI and autonomous systems Moonshot methodology and long-horizon technology bets AI workforce reskilling and the talent constraint The future of mobility and self-driving vehicles AI for the board and the executive committee Online learning and the economics of education Ideal for Boards and executive committees moving from AI strategy to operating deployment CHROs and CLOs commissioning enterprise reskilling at scale Automotive, mobility and industrial leadership teams facing autonomy CTOs and chief AI officers benchmarking moonshot and R&D portfolios Audience outcomes A working mental model of where current AI systems succeed and where they fail in production A concrete view of the workforce capability required to run AI inside a large organisation A read on how moonshot bets are structured, governed and shut down inside a serious technology company A clearer sense of where autonomy is heading in mobility, logistics and adjacent sectors