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 ]]>
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August 12, 2026Episode 16422 min
Episode 164: AI Implementation: Why people and process matter most - Soma Chakraborty
What turns an AI experiment into useful organisational change? Andrew Gaule talks with Soma Chakraborty about practical AI implementation, drawing on her experience across biomedical research, machine learning, healthcare programmes and industry projects. The discussion explores why organisations should begin with genuine business pain points, understand their data maturity and then redesign workflows around the respective strengths of people and AI. Examples include financial forecasting, engineering knowledge, procurement and healthcare. To discuss you business change and AI benefits contact Andrew Gaule Chapters 00:00 Introduction 00:52 Soma's background in data and AI 02:34 Why AI should start with a pain point 03:37 Why data maturity matters 05:45 Using AI across organisational documents 07:07 AI and monthly financial forecasting 10:50 Why automation alone misses the opportunity 12:56 AI in procurement 14:02 People, adoption and human-in-the-loop design 17:01 Reducing fear and building confidence 18:40 Trust in AI outputs 19:41 Proofs of concept and enterprise adoption 22:00 Closing thoughts If 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/id972450965 Videos on Purpose to Performance Channel https://www.youtube.com/@P2PfromAimava
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. Chapters 00:00 Introduction to Matt Cortland and the Guinness Index 01:00 How the AI voice agent collected Guinness pricing data 02:00 Scale, response rates and public reaction 04:30 Voice AI as a tool for research and local availability 06:30 AI for work that was previously too costly 08:30 Matt’s broader AI consulting and workflow projects 10:30 AI in investment screening and business model change 13:00 Context, APIs and market insight 15:00 Safety, bias and human oversight 18:00 How AI is changing software development 21:00 Why human expertise still matters 23:00 Anthropomorphising AI and closing reflections If 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/id972450965 Videos 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. Chapters 00:00 Introduction to Devendra Sharma 02:00 What AI really means beyond ChatGPT and Copilot 05:00 The pizza and Ferrari analogies for AI adoption 10:00 Why many organisations do not know where to start 13:00 Use cases, business value and measurable outcomes 17:00 Why automating poor processes is not success 23:00 Practical starting points for AI adoption 26:00 Governance, compliance and agentic AI risk 31:00 AI, jobs and human augmentation 36:00 Software development, review and human in the loop 40:00 Final reflections on AI as a support tool For 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. Chapters 00:00 Introduction and Cilla’s background 01:34 Leadership, change and organisational context 03:41 How AI transformation is showing up 06:18 North Star, purpose and process redesign 09:02 AI literacy and executive understanding 13:12 Human and AI collaboration 16:04 Practical use cases and value creation 19:57 What leaders should focus on next 24:08 Final message: curiosity as advantage If 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. Chapters 00:00 Introduction and Jamie’s background 02:00 How AI adoption has evolved 04:30 Why digital transformation often underdelivers 07:00 Bottom-up adoption and frontline engagement 08:30 Real AI use cases in care and manufacturing 13:10 Customer-facing AI and where firms are cautious 15:25 AI and changing business models 21:10 How to measure value and productivity 24:20 People, blockers and implementation lessons If 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/gaulesqt Many more videos on Purpose to Performance from Aimava https://www.youtube.com/@P2PfromAimava Chapters 00:00 Introduction and Scott’s background 02:00 Why AI is more than a productivity tool 04:00 Start with business problems, not tools 08:00 Governance, policy, and safe adoption 13:00 What businesses will do next with AI 17:00 Voice AI, agents, and customer acceptance 21:00 Why data quality comes first 24:00 Change management and workforce adoption 27:00 China, the UK, and the wider AI race If 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. Chapters 00:00 Introduction 02:12 Where organisations really are with AI 06:02 Why Copilot is not enough 07:04 Financial analysis and expert heuristics 12:17 Bookings, missed calls, and AI in operations 17:31 Education, leadership, and implementation 19:15 AI for investment screening and support 24:27 Agents talking to agents 33:19 AI hype versus the dot com era 39:40 Oxtech Week and closing thoughts If 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. Chapters 00:00 Intro and background 01:00 How Brill Power started 02:00 The technology and early IP 07:00 Grants, pitch events, and early traction 09:40 First meaningful investment and investor fit 17:10 Scaling products, hiring, and manufacturing 20:20 Corporate partnering, decision makers, and IP risk 24:20 Acquisition and integration 27:00 Gender, confidence, and founder communication If 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’ background 02:00 Why AI adoption is hard in real organisations 05:00 AI workers, agent teams, and integrations 10:30 Reactivation, out of hours revenue, and mystery shopping 14:40 Jobs concern and redeployment reality 23:40 Think big, start small, Lens then Action 28:10 Ownership, governance, and who decides 30:15 Why AI speed changes the competitive set 31:15 Robotics and what is coming next If 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 today Blayne 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 activity Blayne 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 students Blayne 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 employers Students 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 scheme Henley 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 roles AI 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.
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