Gaule's Question Time

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.Chapters00:00 Introduction to Emma Humphrey and ABNI01:10 Why creative teams need AI02:30 Let AI handle repetitive work04:30 AI changes volume and personalisation07:00 Sustainability and responsible AI use10:30 The extraordinary pace of AI change11:30 Governance and guardrails13:00 Andrew Gaule’s Five Ps and AI workers14:45 Measuring AI performance16:00 Developing people in an AI organisation17:45 Redesigning business processes19:30 Accountability for AI agents21:00 Embodied AI and robotics23:30 Reskilling and adapting to changeIf 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/gaulesqtPrevious interviews: https://www.youtube.com/@P2PfromAimava

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 GauleChapters00:00 Introduction00:52 Soma's background in data and AI02:34 Why AI should start with a pain point03:37 Why data maturity matters05:45 Using AI across organisational documents07:07 AI and monthly financial forecasting10:50 Why automation alone misses the opportunity12:56 AI in procurement14:02 People, adoption and human-in-the-loop design17:01 Reducing fear and building confidence18:40 Trust in AI outputs19:41 Proofs of concept and enterprise adoption22:00 Closing thoughtsIf 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

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

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.

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.