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.

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

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.

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.

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.

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