Interviews with leading executives who are driving Innovation, Corporate Venturing and Strategic Change by Andrew Gaule. For details of our support see www.aimava.com ]]>
Listen to episodes
60 recent
May 18, 2026Episode 16322 min
Episode 163: From Guinness Price Pub Calls to Business Model Change: AI Agents in Practice with Matt Cortland
In this episode of Gaule’s Question Time, Andrew Gaule speaks with AI engineer Matt Cortland about the Guinness Index, a project that used an AI voice agent to call pubs and collect the cost of a pint of Guinness.Matt explains how the project worked, what the data showed and why voice AI opens up new possibilities for research, pricing and hard-to-reach information. Andrew and Matt also explore broader corporate use cases, including investment screening, software development, APIs, business model change and the need for human oversight.Chapters00:00 Introduction to Matt Cortland and the Guinness Index01:00 How the AI voice agent collected Guinness pricing data02:00 Scale, response rates and public reaction04:30 Voice AI as a tool for research and local availability06:30 AI for work that was previously too costly08:30 Matt’s broader AI consulting and workflow projects10:30 AI in investment screening and business model change13:00 Context, APIs and market insight15:00 Safety, bias and human oversight18:00 How AI is changing software development21:00 Why human expertise still matters23:00 Anthropomorphising AI and closing reflectionsIf you are leading AI strategy or implementation, identify one process where AI agents could create better data, reduce manual effort or change the economics of the work. Contact Andrew Gaule to discuss a practical pilot.More Podcasts on Gaule's Question Time on Apple, Spotify etc https://podcasts.apple.com/gb/podcast/gaules-question-time/id972450965Videos on Purpose to Performance Channel https://www.youtube.com/@P2PfromAimava
May 4, 2026Episode 16235 min
Episode 162: Why AI Strategy Fails Without Better Inputs discussion with Devendra Sharma and Andrew Gaule
In this episode of Gaule’s Question Time, Andrew Gaule speaks with Devendra Sharma, Chief Data and AI Officer at Exadel, about the practical realities of implementing AI in organisations.They discuss why AI is not magic, why data and inputs matter, how leaders should identify use cases, and why organisations need to redesign processes before applying AI. The conversation also covers governance, compliance, agentic AI risks, human in the loop review, knowledge management and software development.Chapters00:00 Introduction to Devendra Sharma02:00 What AI really means beyond ChatGPT and Copilot05:00 The pizza and Ferrari analogies for AI adoption10:00 Why many organisations do not know where to start13:00 Use cases, business value and measurable outcomes17:00 Why automating poor processes is not success23:00 Practical starting points for AI adoption26:00 Governance, compliance and agentic AI risk31:00 AI, jobs and human augmentation36:00 Software development, review and human in the loop40:00 Final reflections on AI as a support toolFor corporate leaders planning AI implementation, connect with Andrew to discuss a structured review of AI use cases, value, governance and measurable outcomes.
April 25, 2026Episode 16124 min
Episode 161: AI and Leadership: What Smart Leaders Do Next with Cilla McKay and Andrew Gaule
What does AI change for leaders, teams and service models? In this conversation, Andrew Gaule speaks with Cilla McKay about AI as a leadership and change challenge, not just a technology decision. They explore North Star thinking, human centred design, AI literacy, psychological safety and how to redesign work around human and AI collaboration.Chapters00:00 Introduction and Cilla’s background01:34 Leadership, change and organisational context03:41 How AI transformation is showing up06:18 North Star, purpose and process redesign09:02 AI literacy and executive understanding13:12 Human and AI collaboration16:04 Practical use cases and value creation19:57 What leaders should focus on next24:08 Final message: curiosity as advantageIf you are leading AI strategy or implementation, connect with Andrew Gaule to discuss how to align leadership, process and culture around your AI roadmap.
April 20, 2026Episode 16027 min
Episode 160: AI Hype to Measurable Workflow Gains with Jamie Claret and Andrew Gaule
What does practical AI implementation actually look like inside a business?In this episode, Andrew Gaule speaks with Jamie Claret about how AI adoption is changing, why digital transformation often stalls, and where intelligent automation is already delivering measurable value. The conversation covers operational use cases, adoption barriers, business model implications and what leaders need to do differently if they want results.Chapters00:00 Introduction and Jamie’s background02:00 How AI adoption has evolved04:30 Why digital transformation often underdelivers07:00 Bottom-up adoption and frontline engagement08:30 Real AI use cases in care and manufacturing13:10 Customer-facing AI and where firms are cautious15:25 AI and changing business models21:10 How to measure value and productivity24:20 People, blockers and implementation lessonsIf you are leading AI strategy or implementation, connect with Andrew to discuss where a focused pilot could create measurable operational value first. (Linkedin https://www.linkedin.com/in/andrew-gaule-aimava/ )Podcast: Gaule Question Time on Apple, Spotify, Google etc https://podcasts.apple.com/gb/podcast/gaules-question-time/id972450965 Video: Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw
April 13, 2026Episode 15928 min
Episode 159: Why AI Strategy Must Start With Business Problems - Andrew Gaule with Scott Evans Apr 2026
In this episode of Gaule’s Question Time, Andrew Gaule speaks with Scott Evans, founder of Wonderland AI, about what it really takes to move organisations from AI curiosity to AI confidence. Scott explains how his own journey began after discovering ChatGPT while working as a project manager in financial services, and how that experience led him to build a business focused on leadership training, AI governance, opportunity assessment, and automation delivery.The discussion moves quickly beyond the usual conversation about tools. Instead, Andrew and Scott explore why many organisations make the mistake of buying licences before defining the business problem they want to solve. They argue that leaders need both practical exposure to AI capabilities and a disciplined approach to implementation, starting with executive education, secure tooling, clear policies, accountable governance, and structured data.They also discuss voice AI, UK adoption challenges, change management, and the wider competitive context, including China’s faster pace of implementation. The result is a practical conversation for executives who need to treat AI not as a novelty, but as a business transformation agenda that spans process, people, governance, and performance.Audio podcast on Gaule's Question Time on Apple, Spotify, Google etc. https://www.podomatic.com/podcasts/gaulesqtMany more videos on Purpose to Performance from Aimava https://www.youtube.com/@P2PfromAimavaChapters00:00 Introduction and Scott’s background02:00 Why AI is more than a productivity tool04:00 Start with business problems, not tools08:00 Governance, policy, and safe adoption13:00 What businesses will do next with AI17:00 Voice AI, agents, and customer acceptance21:00 Why data quality comes first24:00 Change management and workforce adoption27:00 China, the UK, and the wider AI raceIf you are leading AI strategy or implementation in your organisation, connect with Andrew to discuss where governance, leadership capability, or process redesign should begin.
March 24, 2026Episode 15840 min
Episode 158: AI Reshapes Business Processes with Josh Lawman
Most organisations are still treating AI as a chatbot or productivity layer. In this episode, Andrew Gaule and Josh Lawman discuss why that mindset is too limited, and what leaders should do instead.They explore where companies are under leveraging AI, why expert heuristics still matter, how to make organisations more legible to AI, and what practical implementation looks like in financial analysis, bookings, customer interaction, and investment workflows.Chapters00:00 Introduction02:12 Where organisations really are with AI06:02 Why Copilot is not enough07:04 Financial analysis and expert heuristics12:17 Bookings, missed calls, and AI in operations17:31 Education, leadership, and implementation19:15 AI for investment screening and support24:27 Agents talking to agents33:19 AI hype versus the dot com era39:40 Oxtech Week and closing thoughtsIf you are leading AI strategy or implementation, share the one workflow in your organisation that should be redesigned first.
March 6, 2026Episode 15735 min
Episode 157: From University Patent to Trade Sale with Carolyn Hicks of Brill Power
Carolyn Hicks shares the Brill Power journey from early university IP through grants, fundraising, product development, corporate engagement, and acquisition integration. Practical lessons for founders building in complex B2B and hardware-heavy markets.Chapters00:00 Intro and background01:00 How Brill Power started02:00 The technology and early IP07:00 Grants, pitch events, and early traction09:40 First meaningful investment and investor fit17:10 Scaling products, hiring, and manufacturing20:20 Corporate partnering, decision makers, and IP risk24:20 Acquisition and integration27:00 Gender, confidence, and founder communicationIf you are building deep tech in a regulated or complex market, message Andrew Gaule for a discussion on your experiences.
February 24, 2026Episode 15634 min
Episode 156: AI Is Not A Project: How To Deploy Digital Workers with Piers Linney
In this episode, Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) speaks with Piers Linney about how organisations can deploy AI workers and agents in a governed, measurable way. The discussion moves beyond productivity tools into the reality of implementation, ownership, integrations, and risk controls.Chapters:00:00 Intro and Piers’ background02:00 Why AI adoption is hard in real organisations05:00 AI workers, agent teams, and integrations10:30 Reactivation, out of hours revenue, and mystery shopping14:40 Jobs concern and redeployment reality23:40 Think big, start small, Lens then Action28:10 Ownership, governance, and who decides30:15 Why AI speed changes the competitive set31:15 Robotics and what is coming nextIf you want to lead change, contact Andrew to discuss a “Lens then Action” pilot. To book a meeting to discuss where we can add value https://calendly.com/andrew-gaule/15min
January 7, 2026Episode 15536 min
Episode 155: Bridging the Talent Gap, How Universities and Employers Must Rethink Engagement - Blayne Cooper, Henley Business School
The way organisations attract, assess and develop early career talent is under pressure. Hybrid work, global competition, AI driven automation and shifting student expectations are fundamentally reshaping employer engagement. In this episode of Gaule’s Question Time, Andrew Gaule is joined by Blayne Cooper, Head of Employer Engagement at Henley Business School, to explore how universities and employers must evolve together to keep pace with this change. More details below. You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt Subscribe for future interviews. See this and other video content at Aimava Purpose to Performance Channel https://www.youtube.com/@P2PfromAimava Drawing on Henley’s scale and experience across undergraduate and pre experience postgraduate programmes, Blayne explains how placements, internships and strategic projects are becoming critical bridges between education and employment. He shares why real world experience dramatically improves student outcomes, how competition for placements is intensifying, and why businesses that engage early gain access to fresh thinking, digital fluency and diverse perspectives.The conversation also tackles the growing role of AI in hiring and work itself. From automated graduate roles to the rise of virtual internships, Andrew and Blayne explore how organisations can blend AI capability with human judgement, creativity and adaptability. The discussion highlights new low risk models for employers, including funded master’s internships, and why employer engagement is no longer just a recruitment activity, but a strategic investment in future capability.Questions and Answers
How is employer engagement changing todayBlayne explains that employers are no longer just hiring for technical skills, but for adaptability, emotional intelligence and work ethic. Hybrid and virtual models have forced universities and employers to rethink how experience is delivered and assessed.
How big is Henley’s student population and engagement activityBlayne outlines Henley’s scale, with around 800 undergraduates per year group and more than 1,000 pre experience postgraduates, supported through placements, internships, projects and study abroad options.
Why are placements so important for studentsBlayne highlights that over 95 percent of students who complete a placement year achieve a two one or first class degree, with significant long term employability benefits.
What value do students bring to employersStudents bring fresh knowledge, digital capability, diversity and new perspectives, often delivering project based work that rivals traditional consulting at a fraction of the cost.
What is the master’s internship schemeHenley funds six week paid internships for master’s students, covering national living wage costs, reducing risk for employers while preserving proper recruitment standards.
How is AI changing early career rolesAI is automating some graduate level tasks, but Blayne stresses that organisations succeeding with AI are those that embed it while retaining human interaction, feedback and judgement.
November 20, 2025Episode 15428 min
Episode 154: China in the New World, AI, Supply Chains and Global Strategy with Dr Edward Tse
This interview brings together two long-time observers of China’s technological transformation, Andrew Gaule ( https://www.linkedin.com/in/andrew-gaule-aimava? ) and Dr Edward Tse ( https://www.linkedin.com/in/edward-tse-8a951916? ), to explore how China has rapidly moved from a manufacturing base to a global centre of AI, robotics, digital payments and supply-chain innovation. Discussing "China in the New World: Why global companies must put China at the core of their global plans" Edward's new book available on Amazon https://amzn.eu/d/2c4UNn0 See more information below....You join an AI Academy program see Aimava Eventbrite. https://www.eventbrite.co.uk/o/aimava-global-advisory-firm-11938296163To book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqtSubscribe for future interviews. See this and other video content at Aimava Purpose to Performance Channel https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw Reflecting on more than three decades of advising multinational and Chinese companies, Edward explains the ideas behind his new book China in the New World, which outlines China’s resilience, its evolving economic model and why global CEOs must now put China at the core of their strategy. China’s innovation is no longer limited to foundational technologies, but increasingly driven by AI applications across manufacturing, healthcare, pharmaceuticals, consumer devices and mobility. Andrew adds perspective from his own experience building products in China, noting the unmatched speed, flexibility and scale of its supply chain ecosystems. Together they discuss why Western companies must shift from trying to replicate China’s scale to forming new forms of partnership as Chinese manufacturers and digital ecosystems globalise. They also explore the next wave of digital finance, including stablecoins, central bank digital currencies and real world asset structures, and how these may reshape global supply chains. This conversation provides critical insight for global executives navigating the next era of technology driven competition and collaboration.
Is this your show?
Claim this listing to keep it up to date, reach guests who want to pitch you, and manage bookings with Guestify.
