Scale To Win with Dominic Monkhouse
In this episode, Nikola reveals his contrarian belief that AI can be better than humans at customer service (not instead of humans, they'll do very different work), why he spent two hours on the phone with Vodafone when he got their confirmation email with someone else's name on it (and why that's not really about AI or humans), why they built a "token leaderboard" internally to track which AI tools they're using most, why junior developers will definitely beat senior ones at learning these tools (plasticity just goes down as you age), how AI gives him superpowers as a CEO (a chief of staff reminding him he promised something 4 days ago), and why their business model is "Rolls Royce for large enterprises, BMW for everyone else." He also shares his journey from a Serbian family to the University of Cambridge, how his PhD supervisor convinced him not to do a PowerPoint job at McKinsey, and why he ended up founding a voice AI company instead of working in finance (he wanted to be "a proper monkey" as well as a PowerPoint monkey, in his words). What you'll learn: 🤖 AI can be substantially better at customer service (humans already lost their role long ago in most companies) 📞 The Vodafone example: edge cases, six different humans bouncing you around, why most companies lack taxonomy of failures 💼 Rolls Royce + BMW model (premium high-touch implementation + self-serve platform for SMBs) 🧠 Plasticity matters: junior devs will beat senior ones at learning AI tools (nature's law—ability to learn new things decreases with age) ⚡ AI superpowers for CEOs (chief of staff reminding you of commitments, transcription of meetings, Slack tracking) 🎯 Why Google can't compete (they care about ads and compute use, not customer service—you go down their priority list) 📊 "Token leaderboard" to track which AI tools you're using most 🏢 From consulting motion + tech to becoming a platform business About the Guest: Nikola Mrkšić is CEO and co-founder of Poly AI, a Series D company building voice AI agents for enterprise customer service. The company is a spin-out from the University of Cambridge where Nikola met his co-founders and the whole senior research team. They'd all worked on building really good voice agents for their professional and academic lives. The business started with an idea to prove voice technology can be a good thing in people's lives, not just "that pesky thing that gets you to not speak to a human when you really want to speak to a human." Connect with Nikola Mrkšić - https://www.linkedin.com/in/nikola-mrksic/ -------- Sign up to receive our weekly Scale To Win newsletter: https://subscribe.monkhouseandcompany.com Follow Dominic on LinkedIn: https://linkedin.com/in/dominicmonkhouse Chapters: 00:00 Introduction 01:17 Series D company background and voice technology focus 02:33 AI surpassing human customer service capabilities 05:18 Personal story of frustration with customer service 08:07 Successful AI implementations in hospitality and finance 10:58 AI handling sensitive customer service cases 13:16 Broad societal changes due to AI integration 15:00 Impact of AI on workplace efficiency and team dynamics 19:30 Young people naturally adapting to AI tools 23:30 Discussion on younger generations and AI fluency 24:46 AI improving individual weaknesses in the workplace 29:10 Transition of Poly.ai to a more platform-based model 33:01 Challenges of scaling B2B SaaS in different markets 36:01 Immigrant perspective in building successful companies 40:08 Nikola's educational journey and serendipitous career path 48:21 Competitive position against major tech companies
377 episodes
Comments
0Be the first to comment
Sign up now and become a member of the Scale To Win with Dominic Monkhouse community!