💡 In this wide-ranging conversation, Lord Kulveer Ranger draws on decades of experience across technology, transport, and policy to unpack how AI must be embedded into business thinking and strategic action. He says AI is more than standalone tech tools, it is a catalyst for transformation.

🚀 Topics explored in this episode:

• Why change management is central to AI success

• UK start ups are being “hoovered up” by overseas investors

• The real skill sets businesses need to drive AI adoption and many are non-technical

• Lessons from past tech waves and how to apply them to AI adoption

• Why culture, not just code, will determine an organisation’s AI maturity

🗣️ "You have to have those people who are also going to be the business change leaders for AI. The ones who understand which outcomes you want to drive through your business." Lord Kulveer Ranger

🔎 Lord Ranger also discusses the UK’s critical need to:

• Retain and scale homegrown innovation

• Build an investment pipeline that keeps businesses sovereign

• Rethink operating models to align strategy, culture, and technology

🎙 Whether you’re a policymaker, business leader, or technologist, this episode offers strategic clarity on what enables AI to succeed in organisations and across the UK economy.

Chapters

00:00 Looking back to go forward

07:10 Lessons from Previous Technology Waves

12:28 Change Management and AI Adoption

16:32 Impact of AI on Business Models and Culture

24:09 Supporting Start ups and Scale-ups in the UK

30:45 Strategic Priorities for AI Adoption

In this episode, I am joined by Dr Alexandra Dobra-Kiel, Innovation and Strategy Director at Serviceplan Group and member of the Advertising Association’s AI Task Force.

Together, we explore why AI adoption must go far beyond implementation and why organisational culture, leadership vulnerability and strategic clarity are essential to making AI work for people, not just systems.

Alexandra offers a timely and thought-provoking analysis of how businesses can avoid superficial rollouts and instead embed AI in a way that delivers sustainable value.

🎯 In this conversation, we cover:

• Why 77% of employees are anxious about AI taking their jobs and how leaders should respond with honesty and dignity

• The difference between automation and augmentation and why we need a talent reboot, not a talent reduction

• The importance of psychological safety and a culture that encourages openness, experimentation and risk-taking

• Why “boring tasks” are often critical for learning, and removing them may unintentionally damage development

• How leaders must demonstrate humility and vulnerability to build trust in AI

• The traps of ego-driven resistance and incremental thinking and how to escape them

• Why governance should be a tool for growth, not just compliance

• How to ensure AI adoption reflects both human strengths and AI limitations

Whether you're a senior leader, strategist, policymaker or innovator, this episode offers practical insights for shaping the future of work with AI.

Chapters

00:00  Understanding AI Adoption vs. Implementation

02:58  Factors Influencing AI Adoption in Workplaces

05:52  Motivating Employees to Engage with AI

09:06 The Future of Jobs in the Age of AI

11:40  Balancing Ethics and AI Deployment

14:39  Evolving Business Models with AI

17:57  Spotting Opportunities in AI

20:43  Assessing Organisational Maturity in AI

23:33  Innovating While Achieving Operational Efficiencies

26:30  Prioritising AI Adoption in the Boardroom

In this episode of the AI Adoption Podcast, I discuss the transformative role of AI in healthcare medical devices with Dr Alex Cole, Director of Market Strategy at CPI.  We explore various applications of AI, from administrative support to high-risk clinical decision-making.  This discussion highlights the challenges of integrating AI into medical devices, particularly within the NHS. The conversation examines the regulatory landscape, the importance of data management, and the need for skilled professionals in the field. Alex emphasises the necessity of building trust in AI systems and the role of policymakers in fostering innovation. Alex identifies the factors that are holding back AI adoption in the NHS and what the UK needs to do to catch up, if not exceed, the adoption of AI in the US healthcare system.Key Messages• AI has broad applications in healthcare medical devices that need to be gauged on risk factors.• The NHS faces challenges in adopting AI due to funding models.• AI Airlock allows testing of high-risk AI models in a safe environment.• The US has a more structured approach to approving AI in medical devices.• Data fragmentation is a significant barrier to effective AI use in UK healthcare.• Skills in regulatory understanding are crucial for AI integration.• Policymakers need to support industry-academic collaborations.• A kitemark for AI models could enhance trust and quality assurance.• Continuous development and post-market surveillance are essential for AI systems.• The future of AI in healthcare looks promising with increased integration.Chapters00:00 Introduction to AI in Healthcare02:07 AI Applications in Healthcare05:44 Incorporating AI into Medical Devices08:13 Challenges in AI Adoption in the NHS09:34 Understanding the NHS Airlock12:06 Catching Up with the US in AI Healthcare15:35 Data Challenges in AI Healthcare18:13 Priorities for Medical Device Companies20:06 Developing Skills for AI Integration21:02 Role of Policymakers in AI Development24:45 Future of AI in Healthcare26:22 Ensuring Trust in AI Systems

In this insightful episode, I speak with Allison Gardner, MP for Stoke-on-Trent South and an expert in AI regulation. We explore the UK Government’s AI Action Plan, the development of AI growth zones, and the critical role of governance and regulation in public services.

Allison brings her expertise in health, AI policy, and data ethics to this engaging conversation, covering:

✅ The Government’s AI Plans and investment in data centres

✅ Using AI to improve diagnostics and manage public services like pothole detection

✅ The urgent need for robust AI governance and statutory regulation

✅ Support for SMEs in AI adoption

✅ Protecting the creative industries and the quality of training data

Allison says: "My concern is actually we risk the integrity of our AI models if we don't protect human created data."

This episode is essential for anyone interested in public policy, AI adoption, and the UK’s innovation strategy.

Ben Johnson, co-founder and CTO of Uptitude and adviser to UK Parliament, joins me to explore what it really takes for enterprise organisations to adopt AI meaningfully.

🎯 Highlights:

• Why AI starts with data and ends with culture

• The hidden risks of bad data and siloed ownership

• What leadership teams must do to embed AI across functions

• A bold call for Chief AI Officers at board level

📢 “It’s not just tech. AI is a human opportunity. And unless boards reflect that, we’ll keep missing its potential.”

Chapters

00:00 Introduction to AI Adoption in Enterprises

02:11 The Importance of Data Quality

11:25 Data Management Responsibilities

13:31 Opportunities Driving AI Adoption

19:11 Barriers to AI Adoption

25:51 Strategic AI Deployment for Boards

29:03 Policy Considerations for AI Adoption

31:50 Balancing Internal and External Policies

In this episode of The AI Adoption Podcast, I am joined by Janine McKelvey, General Counsel for Data, AI and Security at BT Group, to discuss the critical aspects of AI adoption, focusing on governance, compliance, and the strategic implementation of AI within organisations.

Janine shares insights on the essential elements of an AI strategy, understanding the AI supply chain, conducting impact assessments, and navigating legal considerations. The conversation highlights the need for skills development in AI, the impact of AI on compliance and legal jobs, and the balance between governance and value in AI initiatives.

 Key messages

1. AI strategy is essential for organisations considering adoption.

2. Understanding the AI supply chain is important for risk management.

3. Impact assessments help identify potential risks associated with AI.

4. Compliance with regulations is necessary for safe AI deployment.

5. Skills development is vital for effective AI integration.

6. AI can enhance productivity by automating mundane tasks.

7. Organisations must balance governance with the pursuit of value.

8. Legal considerations are critical in AI procurement and deployment.

9. AI's impact on jobs will create new opportunities and roles.

10. Continuous learning and adaptation are necessary in AI governance.

Chapters

00:00 The Components of an AI Strategy

10:11 Building an AI Supply Chain: Key Considerations

17:59 Achieving Compliance with Limited Resources

26:01 Skills and Capabilities Needed for AI Adoption

29:11 AI's Impact on Legal and Compliance Jobs

32:16 Advice for Boards Adopting AI

In this episode, I’m joined by the Right Reverend Steven Croft, the Lord Bishop of Oxford. Our conversation explores the philosophical and ethical questions that arise as generative and agentic AI becomes more deeply embeddedin our lives.

Together, we ask:

·      How is AI reshaping the meaning of being human?

·     Can faith traditions offer wisdom for this newtechnological era?

·      What does responsible AI governance actuallylook like?

·      And how do we ensure AI serves human dignity, not the other way around?

Steven brings a rare and thoughtful perspectivebased on a wide range of experiences from his work in the House of Lords to years of theological reflection. He reminds us that AI doesn’t exist in a vacuum: it’s changing how we understand truth, trust, and each other.

“The development of AI will inevitably force humanity to reflect more deeply on what it means to be human.” Steven Croft

Chapters

00:00  Exploring Humanity in the Age of AI

06:08 The Interplay of AI and Human Characteristics

11:22  Faith's Role in the AI Conversation

20:03  Truth in the Context of AI

24:20  Human-Machine Partnerships: Opportunities and Concerns

26:52  The Role of Regulators in AI Development

29:52  Balancing Regulation and Innovation

36:48  Trust and Transparency in AI Interactions

39:20  Setting Boundaries for AI Development

42:14  Social Responsibility in AI Governance

Keywords

Keywordsaigovernance aitruth aitrust airegulation artificialintelligence generativeai agenticai aiethics aiandsociety ai chatgpt gemini google chatbot llm claude oxforddiocese

In this episode, Zahra Bahrololoumi CBE, CEO of Salesforce UK & Ireland, explores agentic AI, a new generation of artificial intelligence that processes, decides, acts and responds autonomously across business functions.

In this thought-provoking episode, you’ll hear:

• What sets agentic AI apart from predictive and generative AI
• Real use cases from Agentforce, Salesforce’s AI (e.g., Heathrow Airport, Capita)
• How AI is driving productivity, reducing operational costs, and transforming service models
• Ethical and governance challenges around autonomous AI
• The human-AI partnership and the urgent need to reskill the workforce
• Zahra’s call for a national digital skills strategy to prevent an AI-fuelled digital divide

“This is not just a transition – it’s a full-scale transformation,” says Zahra.

Chapters

00:00  Introduction to Agentic AI and Its Impact

08:07  Benefits and Applications of AI Agents

12:05  The End of Human Only Workforces?

18:39  Ensuring Trustworthy Agentic AI

22:20  Impact of Agentic AI on Job Losses

23:18  Navigating the Digital Divide and Job Displacement

27:43  Where does the UK Position Itself in AI?

29:34  Boardroom Priorities to Adopt Agentic AI

33:42  Human Agent and AI Agent Productivity

As the UK government begins responding to Matt Clifford’s AI Opportunities Action Plan to become a global leader in AI innovation, with strategic investment in AI zones and data centre infrastructure, the debate intensifies: how do we meet the rising energy demands of AI infrastructure without compromising our green commitments?

In this episode of the AI Adoption Podcast, Professor Ashley Braganza speaks with Ali Teeney, Head of AI and ML at Kraken (Octopus Energy Group’s tech arm), to examine whether Green AI is truly attainable and what it will take.

Ali explores how Kraken is using AI to optimise energy grids, power homes more efficiently, and work directly with customers to build trust in new technologies. He also breaks down the real numbers behind training large language models and explains the need for policy reform, market incentives, and grid modernisation to make Green AI a reality.

Drawing from Kraken’s AI innovations across the UK and international markets, Ali shares actionable insights into:

• The energy cost of LLMs and future models

• Optimising smart grid loads with AI

• The economics of building data centres near renewable energy sources

• Why UK policy reforms around grid pricing and renewable access are overdue

• The difference between headline government support and system-level readiness

As governments around the world lean into AI infrastructure investment, this episode explores whether our energy systems are ready and what must change to ensure AI becomes a catalyst, not a threat, to environmental sustainability.

Chapters

00:00 Introduction to AI and Energy Utilisation

06:01 The AI Energy Challenge

14:49 Policy and Infrastructure for AI Data Centres

22:59 Balancing Green Energy and AI Development

27:00 Opportunities in the AI Landscape

𝐖𝐚𝐧𝐭 𝐭𝐨 𝐬𝐭𝐚𝐲 𝐮𝐩𝐝𝐚𝐭𝐞𝐝?

✅ Subscribe to the AI Adoption podcast channel: https://www.youtube.com/@aiadoption-conversations/videos

✅ Follow us on LinkedIn: https://www.linkedin.com/showcase/the-ai-adoption-podcast-showcase

✅ Follow us on Instagram: https://www.instagram.com/theaiadoptionpodcast/

#ai #artificialintelligence #ethicalai #sustainableai #aishorts #aipolicy #cybersecurity #data #energy #greenenergy

I’m delighted to share the latest episode of The AI Adoption Podcast, where I had the privilege of speaking with Hamzah Malik, Founder and CEO of Vet Pulse AI and Regent Branding.

Hamzah’s story is a masterclass in identifying a niche, deeply understanding your market, and building AI solutions that create meaningful impact. Vet Pulse AI is already supporting over 1,000 veterinary professionals across the world, helping them access up-to-date, reliable knowledge, underpinned by transparency about data sources and built with the end user in mind.

In our conversation, Hamzah shares:

✅ Why he ventured into the veterinary sector
✅ How he combined AI with specific industry knowledge to solve real problems
✅ The role of transparency in AI adoption and why it matters to end users
✅ The challenges of bootstrapping an AI business while growing a digital consultancy
✅ The top five things every aspiring AI founder should know before they get started
✅ Why persistence, humility, and a user-first approach are keys to longer-term success

If you’re an entrepreneur, an AI enthusiast, or someone navigating the challenges of bringing new technology to market, this episode is packed with honest insights and practical advice.

Chapters

00:00  Introduction to AI in Veterinary Medicine

02:02  Hamzah’s Journey into AI and Veterinary

05:16  Identifying Market Gaps and Business Case

11:30  Adopting the Vet Pulse Platform

13:44  Ensuring Transparency in AI Responses

16:10  Data Management and Content Sourcing

18:00  Funding and Growth Strategies

21:16  Building a Global Team

24:11  Managing Multi-Country Regulations

26:13  Advice for Aspiring AI Entrepreneurs

32:55  Future Challenges and Vision

𝐖𝐚𝐧𝐭 𝐭𝐨 𝐬𝐭𝐚𝐲 𝐮𝐩𝐝𝐚𝐭𝐞𝐝?

✅ Subscribe to the AI Adoption podcast channel: https://www.youtube.com/@aiadoption-conversations/videos

✅ Follow us on LinkedIn: https://www.linkedin.com/showcase/the-ai-adoption-podcast-showcase

✅ Follow us on Instagram: https://www.instagram.com/theaiadoptionpodcast/

#ai #artificialintelligence #ethicalai #sustainableai #aishorts #aipolicy #cybersecurity #data