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.

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.

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.

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

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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.

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.

Each episode brings financial leaders, investors, founders, economists, and policymakers into conversation about what is changing now, and where money and opportunity are moving as a result.

Made for investors, founders, and business owners, it offers a practical view of the AI economy from the people doing the work.

Full episodes available from 19 August.

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.