In this episode of The Digital Lighthouse, Zoe Cunningham speaks with Andy Burton, a technology leader with over 30 years of experience delivering large-scale digital transformation across industries including insurance, retail, and online gaming.

Andy has held senior roles at organisations including Sky Betting & Gaming, The Very Group, and most recently esure, where he led a multi-year transformation to replatform the business and build a modern, digital-first insurer.

They explore what transformation really looks like in practice. While many organisations begin with clear plans and ambitious timelines, the reality is far messier. External events, legacy constraints, and constant change mean even the best plans rarely survive intact.

Andy shares what made the esure transformation successful, why many programmes go awry before the final step, and what it really means to become “digital on the inside”.

In this episode of The Digital Lighthouse, host Zoe Cunningham speaks with Paul Spiers, founder of The New P&L Institute and host of The New P&L podcast.

Zoe and Paul explore how leaders can create the conditions for better thinking, creativity, and innovation in a world shaped by constant change and emerging technologies.

While organisations often say they value curiosity, critical thinking, and creativity, Paul explains why many fail to create the space needed for those qualities to thrive. Instead, speed and efficiency dominate, limiting long term innovation.

Paul shares how leaders can focus on self awareness, purpose, and culture to drive better outcomes. They also discuss why context matters when introducing AI, why leadership behaviour shapes culture, and how small, consistent actions can transform both individuals and organisations.

• Why organisations struggle to enable creativity and innovation
• Why self awareness is the foundation of effective leadership
• Why context shapes how employees respond to AI
• How leaders can create space for better thinking
• Why culture, leadership, and technology must be aligned
• How small, consistent actions drive meaningful change

Drawing on his experience in highly regulated industries including banking and gambling, Macs explains why “fail fast” does not translate to environments where reliability and accountability are critical. He shares how his teams are adopting machine learning and AI agents safely, starting with narrow internal use cases, building strong guardrails, and ensuring engineers retain ownership of what they ship.

Discover:

• Why AI can speed up delivery while increasing long term risk
• Why regulated industries require a different mindset for AI adoption
• How machine learning models can be governed through monitoring and human review
• Why generative AI is harder to test than traditional software
• How starting small reduces risk and builds organisational learning
• Why ownership and understanding still matter in AI assisted engineering

Together they explore ensemble working — also known as mob programming or software teaming — and why it’s a powerful shift from solo coding to true collective problem-solving. Clare explains how ensemble working speeds up delivery, reduces risk, and builds stronger, kinder teams that learn faster and work better together.

Discover:

• What ensemble working is and how it extends pair programming

• Why complex systems demand collaboration, not heroics

• How agile and XP principles shape ensemble practices

• The hidden costs of handoffs and meetings — and how to remove them

• Why onboarding, training, and new features are ideal starting points

• How kindness and fast feedback drive high performance

See Clare live on 16 October at Outpace Conf Manchester → outpaceconf.com

Zoe and Jamie explore how technology really evolves. They discuss why innovation has never been a solo pursuit, why leadership and management matter as much as scientific breakthroughs, and why many of today’s debates around AI echo arguments that have played out before.

Drawing on examples from Edison and Oppenheimer to Amazon and modern cloud platforms, Jamie explains why users, not inventors, ultimately determine how technologies succeed or fail. He also shares practical lessons for today’s technology leaders on building real cloud and AI capability, removing organisational bottlenecks, and navigating periods of rapid change.

Discover

• Why technological breakthroughs are built by teams, not lone geniuses
• Why leadership and management are central to successful innovation
• How cloud computing emerged by removing barriers for developers
• Why users shape the future of technology more than its creators
• What past technology transitions can teach us about today’s AI moment
• Why preparing for AI is fundamentally a people and capability challenge

Zoe and Steve explore how organisations can actually capture value from AI in complex environments. While excitement around generative AI is high, many initiatives struggle because they begin with the technology rather than the problem.

Drawing on his experience across consulting, product development, and delivery, Steve explains why the most successful AI implementations start by understanding users and mapping workflows. Instead of replacing people, AI works best when it removes repetitive work and allows humans to focus on judgment, creativity, and decision-making.

He also shares a practical way to think about AI: treat it like a highly motivated intern. Useful for many tasks, but still requiring oversight, guardrails, and human judgment.

• Why successful AI adoption starts with the problem, not the technology

• Why many AI initiatives fail due to unrealistic expectations

• How to identify the right workflows for AI automation

• Why AI works best when it removes repetitive work but keeps humans in control

• Why treating AI like a highly motivated intern is a useful mindset

• Why agile delivery is essential when working with rapidly evolving technology

Zoe and Rachael dive into a challenge every technology leader will recognise. Between the excitement of project kick-off and the celebration of delivery lies an unpredictable and challenging phase that often determines success or failure. Rachael calls this the messy middle. It is the period where unknowns surface, processes expand or falter, and teams must navigate complexity while maintaining momentum.

Drawing on her experience across regulated industries and large-scale engineering environments, Rachael explains why tech projects get messy, why process alone cannot fix it, and why the human element always sits at the heart of delivery. She also shares the leadership practices and mindsets that help teams survive and thrive through the toughest parts of a project.

Discover

• Why even well-planned technology projects face a messy delivery phase, and why this is normal
• How process frameworks like Agile, Lean, and ITIL help. and where they create accidental complexity
• The dangers of both over-processing and under-processing, and how to find the Goldilocks zone of “just enough” structure
• Why technology problems are nearly always human problems in disguise
• How leaders can understand individual strengths and use them to improve delivery outcomes
• Why continuous communication and simple metrics are critical to spotting real delivery risk early
• The importance of self-awareness in leadership and how regular reflection helps leaders navigate uncertainty and emotion more effectively 

With over 20 years’ experience in leadership, organisational psychology, and consultancy, Sean has worked with global giants like Vodafone, Oracle, Microsoft, and TCS. Through his CAB model — Clarity, Alignment, Behaviour — he helps leaders and teams move beyond competence to excellence.

Together, Zoe and Sean unpack the real drivers of team effectiveness, from psychological safety to behavioural alignment, and share practical ways to measure and improve performance across thinking and feeling dimensions.

In this episode, discover:

• The five key traits of high-performing teams (from Google’s Project Aristotle)

• How to measure both the cognitive and emotional sides of team effectiveness

• Why clarity, alignment, and behaviour are the foundation of lasting performance

• How leaders can overcome fear, complexity, and disengagement

• Real-world techniques for assessing and improving team dynamics

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Together they explore why authenticity and vulnerability are not weaknesses but core strengths for today’s technology leaders. Catherine shares how letting go of the illusion of control, acknowledging challenges, and treating teams like adults can transform culture, build trust, and unlock better performance—even in turbulent times.

• How to show vulnerability without oversharing: sharing “scars” rather than open wounds
• Why authenticity builds stronger teams and reduces the burden on leaders 
• Why “motivation” isn’t something leaders can inject, but a balance of clear direction and the right people
• The difference between acknowledgement and toxic positivity—and why it matters
• Strategies for motivating self-driven teams without micromanagement
• How to handle difficult conversations when budgets tighten or uncertainty looms
• Practical ways to co-create solutions with your team while retaining decision-making authority

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