Gaule's Question Time

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

Gaule's Question Time is a business podcast hosted by Andrew, with 100 episodes on record and a Required Pod Score of 80.

Andrew hosts Gaule's Question Time, a business show with 100 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #165

  Episode 165: Let AI Do the Grind, Keep Humans Doing the Thinking - with Emma Humphrey

  Oct 2, 202621 min

  AI is rapidly moving from a tool used by individuals towards becoming part of the workforce. In this episode of Gaule’s Question Time, Andrew Gaule talks with Emma Humphrey, co founder of ABNI, about how organisations can use AI to remove repetitive work while retaining human creativity, judgement and accountability. They discuss creative AI, productivity, personalised content, environmental considerations, governance, skills development, AI workers and the emergence of embodied AI and robotics. Chapters 00:00 Introduction to Emma Humphrey and ABNI 01:10 Why creative teams need AI 02:30 Let AI handle repetitive work 04:30 AI changes volume and personalisation 07:00 Sustainability and responsible AI use 10:30 The extraordinary pace of AI change 11:30 Governance and guardrails 13:00 Andrew Gaule’s Five Ps and AI workers 14:45 Measuring AI performance 16:00 Developing people in an AI organisation 17:45 Redesigning business processes 19:30 Accountability for AI agents 21:00 Embodied AI and robotics 23:30 Reskilling and adapting to change If you are considering how AI workers could change your organisation, connect with Andrew to discuss AI Strategy and Implementation programmes and AI Sprints. Podcast: https://www.podomatic.com/podcasts/gaulesqt Previous interviews: https://www.youtube.com/@P2PfromAimava

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  Episode #164

  Episode 164: AI Implementation: Why people and process matter most - Soma Chakraborty

  Aug 12, 202623 min

  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

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  Episode #163

  Episode 163: From Guinness Price Pub Calls to Business Model Change: AI Agents in Practice with Matt Cortland

  May 18, 202622 min

  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

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  Episode #162

  Episode 162: Why AI Strategy Fails Without Better Inputs discussion with Devendra Sharma and Andrew Gaule

  May 4, 202636 min

  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.

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  Episode #161

  Episode 161: AI and Leadership: What Smart Leaders Do Next with Cilla McKay and Andrew Gaule

  Apr 25, 202625 min

  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.

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