Track Record by Tramlines

Tony Langham co-founded the communications firm Lansons in the late 1980s with his wife, Clare Parsons. Out of it came the research company Opinium, an office building in Smithfield Market, and a stake in the PR agency Hope and Glory. Lansons was sold three years ago and still carries his name.

In this episode of Track Record, Albert asks Tony what makes an entrepreneur, why he believes in sharing ownership, and what AI means for reputation, creativity and the next generation. Tony is an investor in Tramlines and works with the team.

Key moments:

00:00 Introduction

01:04 Who Tony is: Lansons, Opinium and Hope and Glory

03:43 Why Tony fits Tramlines

05:20 Art, culture and what we're fighting for

07:52 What being an entrepreneur means

08:12 His father, and never being good enough

09:23 Going into business with Clare

10:39 Magic and logic

11:41 Credibility, not performance

13:10 Ownership and responsible capitalism

14:53 Always leave something for someone else

17:00 Why British founders sell

17:51 Uber and who will win

21:10 PR: what's died and what's thrived

23:01 What PR actually is

25:05 Ideas that research badly

25:52 Love, humour, music and connections

27:10 Em dashes and the sameness of AI design

28:14 AI does average brilliantly

29:09 The future of reputation businesses

32:00 Who trains the next generation

33:16 Long-term thinking in short-term cycles

36:48 Are entrepreneurs good for society?

38:17 Hope instead of dread

40:06 No side hustles

42:56 The £100m question

44:43 Pride and self-worth

45:51 Advice for Albert

47:44 Close

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

Costi Perricos, Deloitte's Global Generative AI Business Leader, joins Albert Azis-Clauson to discuss how AI is changing the way businesses are organised, how people work and develop their expertise, and the economics of professional services.

Drawing on his journey from rehabilitation engineering and academia into consulting, Costi explains why human judgement remains central as AI becomes more capable. They explore what leaders need to understand themselves, how junior people can gain experience alongside agents, and who takes responsibility for managing a digital workforce.

Key Moments:

00:00 Introduction

01:18 Engineering, academia and the route into consulting

09:32 Leading GenAI at Deloitte

11:44 AI education, fearers and reverers

15:39 Why human judgement still matters

19:36 Developing the next generation of experts

24:47 Leadership and managing a digital workforce

28:04 Human creativity and the limits of AI

30:41 Thinking of AI agents as teammates

32:24 What small and large businesses can learn from each other

37:24 The changing economics of professional services

41:39 Ownership, agent architecture and the agentic harness

48:53 Startups, large firms and business transformation

53:33 Practical advice for leaders adopting AI

55:06 Honest conversations about failure

58:33 Where Costi would invest £100 million

1:00:50 Costi’s advice to Albert

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

Craig Donaldson grew up during the miners' strike, ran 84 bank branches in East Africa at 25, and went on to be the founding CEO of Metro Bank. Now he is the Executive Chairman of Tramlines.

He tells Albert what pubs taught him about people, why he started a bank when everyone else was cutting costs, and why domain experts with the right support deserve a chance even if they never become unicorns.

Key Moments:

00:00 Introduction

01:44 A background to Craig's early life

03:10 From technologist to banker

04:13 Pubs, tills and "business is people"

05:08 84 branches in East Africa at 25

06:14 Why people took a chance on him

07:37 RBS and the global financial crisis

08:08 Learning from the hard times

09:08 Intellect, interpersonal skills and hard work

10:15 Resilience and boss watching

11:56 From doing to leading

13:50 Dave Craggs and the curve on the graph

16:24 Energy from someone else closing the deal

17:29 Why start a bank?

18:17 The zig and the zag

19:38 A call from Vernon Hill

20:52 The first new high street bank in over 100 years

22:23 Printing cards in store

24:04 Create fans

24:51 Fail fast

25:31 Seven years to IPO

27:17 Proof points and stage gates

28:48 Statements, post boxes and mirrors

30:41 What Metro taught him

32:21 Human-led businesses in an AI world

34:24 Leaving Metro Bank

38:37 Meeting Albert and telling him everything

41:37 How Tramlines started

44:33 Discipline, and AI as a tool

46:17 What excites Craig now

48:54 Why experienced people come to Tramlines

51:44 The £100m question

52:52 Advice for Albert

54:52 Close

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

Daniel Lanyon started out as a journalist in Istanbul in 2010, joined The Times' foreign desk as a freelancer, and followed the money into financial journalism.

He went on to help build AltFi, a publication covering fintech, from around 2016 until it was bought by a family office. Along the way he met the early teams at Revolut and Monzo, when Revolut had just one product and a team of 10 or 20.

He is now Managing Director of Funds at Tramlines. In this episode of Track Record, Albert asks how that career shaped the way Daniel now thinks about founders, investing and AI. They cover how his years as a reporter taught Daniel to judge founders, why he thinks domain experts could overtake the 'Stanford dropout', and how to keep a clear head about AI.

Key Moments:

00:00 Introduction

01:43 Daniel's role at Tramlines

02:40 Istanbul, Tintin and becoming a journalist

05:28 The Times, The Grocer and following the money

06:31 From financial markets to fintech

08:19 Why UK Fintech took off

09:15 Branches: from moat to millstone

10:08 Revolut, Monzo and Starling in the early days

11:50 Three tracks: a business, a cycle and investors

13:28 A football hedge fund and a buoy on a beach

14:17 AltFi and learning to sell

16:49 Inside versus outside

17:18 The 2021 boom and the downturn

18:49 Deciding to become an investor

20:12 Meeting Albert

21:23 VC as a five-year-old's football match

22:24 Where the value lies now

23:31 Why the best founders are domain experts

25:12 When the big names caught on

25:53 "I will never have an app-only bank"

27:25 Scaling domain expertise with AI

28:52 Going earlier: meeting founders before they quit

31:10 Consultancy as a way in

32:59 What AI changes for investors

35:09 Everyone at Tramlines was at the front

36:19 Keeping two sets of books

38:29 Analog in an AI world

39:13 How to get to the front of AI

40:40 Think, plan, do

41:40 Three ways to use two sets of books

43:06 The £100m question

45:21 Advice for Albert

46:24 Closing remarks

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

Francesca Hodgson has built a venture-backed fintech, coached hundreds of founders in the last few months alone, and runs the SPARK incubator at King's College, Cambridge. She talks to Albert about why founders should start with the problem rather than the idea, what raising money really cost her, and why AI makes it more important, not less, to know what you are looking for.

Key Moments:

00:00 Introduction

01:23 Francesca's background

02:57 Relationships, trust and discovering your purpose

05:43 How Fran coaches: starting with the problem

07:56 The trouble with the big idea

10:31 Vision, the minimum viable business and the beachhead

11:25 Build with, not for

12:55 The seven validation gateways

15:11 Raising 15 million with 5% of the equity

16:32 Revenue, the funding people overlook

17:58 There's always a cost

19:27 Women founders and the funding gap

24:40 Why venture capital is a hammer

25:58 The loneliness of a venture-backed founder

27:45 Separating governance from management

29:01 Psychological safety and leadership styles

31:03 Shared ownership and collaboration

33:41 AI amplifies what you put in

36:15 The false sense of security

39:02 Domain expertise plus AI expertise

40:32 Thought processing, AI slop and checking the output

42:43 Where the opportunity is for founders

44:13 The barrier to innovation is now the ability to speak

45:38 Where Francesca would invest £100m

47:31 Closing remarks

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

As AI is makes software faster and cheaper to build, it changes what investors should look for, how companies sell, how enterprises adopt technology and where defensibility comes from.

In this episode of Track Record, Albert Azis-Clauson talks to Edward Keelan, a partner at Octopus Ventures, about the shift from traditional SaaS metrics to a world where pricing, retention and outcomes are still being worked out. They discuss why revenue and the speed of revenue growth matter earlier than many founders expect, why enterprise AI adoption is closer to workflow transformation than buying software off the shelf, and why customer relationships are becoming more consulting-like.

Ed also shares his experience of moving from Rolls-Royce and a startup into venture, and they discuss socio-economic access to capital, education, personal relationships and the risk of relationship-led investing reproducing existing networks.

The conversation ends with a shared challenge to early-stage VC: as technology becomes easier to build, domain expertise, customer knowledge and the ability to deliver in a specific vertical may become the more durable advantage.

Key Moments:

00:00 Introduction: Ed Keelan on AI and investment

02:29 From Rolls-Royce and startups to Octopus

05:24 Why entrepreneurs and small companies matter

09:39 AI outreach and the return of personal relationships

12:53 Socio-economic access, education and aspiration

20:29 How AI is changing growth-stage investing

23:54 Pricing, product-market fit and unsettled metrics

27:04 Enterprise adoption and transformation

30:16 Where AI creates value and changes work

33:57 Customer relationships, services and workflow design

36:54 Domain expertise and the changing sales team

41:09 Vertical software, defensibility and scale

44:28 What investors should measure now

46:58 The future of VC and the role of operating partners

49:03 Octopus Ventures and closing thoughts

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

In this conversation, Albert Azis-Clauson speaks with network scientist and Director of Networks at Tramlines, Erica Young.

Erica explains how a personal project to map the people she met after moving to London led her into network science, and why relationships create value that compounds over time.

We examine how AI could change relationship management, why trust becomes more important as products become easier to build and online content harder to verify, and why traditional networking events do not work for everyone.

The conversation explores how to approach new relationships without making them transactional, how a case of a junior job offer led to a board seat, and how different network shapes support discovery, coordination, and resilience. Erica closes by explaining why she would invest £100m in social capital and why one relationship-building habit, sustained for 10 years, can have an extraordinary effect.

Key moments:

00:00 Introduction

01:25 From a personal project to network science

05:33 Why network value compounds

07:39 How VC incentives weaken collective networks

12:11 How AI can transform relationship management

15:49 Why relationships become more defensible with AI

18:25 Networking beyond extrovert-designed events

19:47 Why investment-or-nothing is too narrow

21:31 How a junior job opportunity led to a board seat

22:48 Explore versus exploit

27:43 The daisy and the ball of yarn

32:29 How to assess your network

34:34 How a chance Airbnb encounter changed Erica's career

39:38 Why the teenagers were the AI experts in the room

41:14 How to cultivate and maintain relationships

45:39 Why some work friendships disappear

48:42 Where Erica would invest £100m

50:03 One habit sustained for 10 years

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

In this episode of Track Record, Albert Azis-Clauson speaks with Glen Robinson, Managing Director of C4VC, the Centre for Value Creation at Tramlines.

Glen explains why people are now the source code of technology.

As AI infrastructure, models, and tools become increasingly commoditised, he argues that the most durable advantage sits with domain experts and the tacit knowledge they have built over years inside an industry.

We trace Glen’s unconventional route into technology and his early experience at Amazon Web Services, before examining why Netflix’s transition from DVDs to streaming took eight years and what that teaches leaders about AI adoption.

The conversation explores how enterprises can apply venture-building methods to innovation, let 1,000 flowers bloom without losing control, and turn internal expertise into intellectual property that changes the value of the business.

Key moments:

00:00 Introduction

01:36 Glen’s unconventional route into technology

04:23 Discovering cloud and joining AWS

08:25 Why adaptability matters more than strength

09:29 Why Glen left Microsoft for Tramlines

13:19 Why Netflix beat Blockbuster

16:57 Peace, war, and wonder in technological change

18:44 How enterprises should balance delivery and innovation

19:49 How generative AI changes value creation

23:33 Scaling domain expertise inside enterprise

28:35 The transformation cliff and enterprise inertia

29:56 Applying venture-building methods inside enterprise

32:52 Why people are now the source code of technology

33:19 How to govern bottom-up innovation

35:27 How AI changes enterprise value

38:29 Why cost reduction is too narrow a goal

43:47 Where Glen would invest £100m

47:01 Next on Track Record

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

In this episode of Track Record, Albert Azis-Clauson speaks with Emily Turner, CEO of HSBC Innovation Banking UK.

Emily explains why every founder needs to develop five areas of their company: the product, customer, team, investor, and business model. As each develops at a different speed, founders should focus their attention on whichever is moving most slowly.

The conversation explores how AI could give service businesses software-like economics, and why Emily is looking at companies outside London.

Key Moments:

00:00 Introduction

01:42 The state of venture and innovation

04:44 Why global investors are backing UK companies

08:01 AI, deep tech, and commercialisation

11:14 The five areas every founder must develop

15:00 Founder factories and the value of experience

20:04 How venture economics are changing

27:02 How venture funds create returns

29:29 Choosing the right investors

32:24 Pensions, debt, and secondary liquidity

34:11 Where capital has yet to reach

37:06 How AI helps companies focus

38:31 Can service businesses achieve software economics?

42:58 Why early-stage investing comes down to people

44:22 Problem obsession and complementary founders

47:13 Equity, incentives, and employee liquidity

48:41 Why Emily would invest outside London

50:09 Next on Track Record

.

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.

In this episode, Albert Azis-Clauson sits down with Lionel Barber, former editor of the Financial Times, to explore Britain’s economic future and whether AI could help the country rediscover its confidence, productivity and appetite for growth.

They discuss why Britain’s decline may be overstated, what prevents promising companies from reaching scale, and how AI is changing the relationship between talent, capital and value creation.

Lionel also reflects on the leadership lessons he learned at the Financial Times: setting a clear destination, adapting the business model, building closer customer relationships and knowing when to delegate.

Key Moments:

00:00 Introduction

01:18 The agony of the entrepreneur

04:03 Britain's AI Opportunity

09:33 The Barriers and challenges to innovation in the UK

11:42 Masayoshi Son: Game Maker

13:44 The golden age for entrepreneurs

15:37 How will government adapt to AI?

20:10 The Changing Value Equation in an AI Economy

21:08 What does leadership look like?

25:40 Trust, Authority and the Human Factor

27:53 Where would Lionel invest £100m?

30:55 Lionel's advice for Albert

32:43 Closing remarks

Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.

Learn more at https://www.tramlines.com

Hosted on Acast. See acast.com/privacy for more information.