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.

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

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

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

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.

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.