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Track Record by Tramlines
Erica Young | How to Build a Network
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
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5. Edward Keelan | AI, Growth and the future of VC
50:18||Season 1, Ep. 5As 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 investment02:29 From Rolls-Royce and startups to Octopus05:24 Why entrepreneurs and small companies matter09:39 AI outreach and the return of personal relationships12:53 Socio-economic access, education and aspiration20:29 How AI is changing growth-stage investing23:54 Pricing, product-market fit and unsettled metrics27:04 Enterprise adoption and transformation30:16 Where AI creates value and changes work33:57 Customer relationships, services and workflow design36:54 Domain expertise and the changing sales team41:09 Vertical software, defensibility and scale44:28 What investors should measure now46:58 The future of VC and the role of operating partners49:03 Octopus Ventures and closing thoughts
3. Glen Robinson | AI isn't coming for your experts. It needs them.
47:40||Season 1, Ep. 3In 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 Introduction01:36 Glen’s unconventional route into technology04:23 Discovering cloud and joining AWS08:25 Why adaptability matters more than strength09:29 Why Glen left Microsoft for Tramlines13:19 Why Netflix beat Blockbuster16:57 Peace, war, and wonder in technological change18:44 How enterprises should balance delivery and innovation19:49 How generative AI changes value creation23:33 Scaling domain expertise inside enterprise28:35 The transformation cliff and enterprise inertia29:56 Applying venture-building methods inside enterprise32:52 Why people are now the source code of technology33:19 How to govern bottom-up innovation35:27 How AI changes enterprise value38:29 Why cost reduction is too narrow a goal43:47 Where Glen would invest £100m47:01 Next on Track Record
2. Emily Turner | The Five Things Every Founder Must Build
50:46||Season 1, Ep. 2In 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 Introduction01:42 The state of venture and innovation04:44 Why global investors are backing UK companies08:01 AI, deep tech, and commercialisation11:14 The five areas every founder must develop15:00 Founder factories and the value of experience20:04 How venture economics are changing27:02 How venture funds create returns29:29 Choosing the right investors32:24 Pensions, debt, and secondary liquidity34:11 Where capital has yet to reach37:06 How AI helps companies focus38:31 Can service businesses achieve software economics?42:58 Why early-stage investing comes down to people44:22 Problem obsession and complementary founders47:13 Equity, incentives, and employee liquidity48:41 Why Emily would invest outside London50:09 Next on Track Record.
1. Lionel Barber | From Disruption to Growth: Britain's AI Opportunity
33:52||Season 1, Ep. 1In 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 Introduction01:18 The agony of the entrepreneur04:03 Britain's AI Opportunity09:33 The Barriers and challenges to innovation in the UK11:42 Masayoshi Son: Game Maker13:44 The golden age for entrepreneurs15:37 How will government adapt to AI?20:10 The Changing Value Equation in an AI Economy21:08 What does leadership look like?25:40 Trust, Authority and the Human Factor27:53 Where would Lionel invest £100m?30:55 Lionel's advice for Albert32:43 Closing remarks
Introducing Track Record
00:40|Track Record by Tramlines is a new podcast; exploring how AI is reshaping investment, finance, and business.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.