Descriptions:
Angela Strange and Gabriel Vasquez are joined by Alejandro Maza Ayala, Chief Product & AI Officer at Kavak, to unpack how the Latin American used-car marketplace rebuilt itself around AI agents, with 96% of customer interactions and 95% of transactions now handled by agents.
Alejandro explains why Kavak decided that simply giving employees AI tools wasn’t enough, and instead redesigned the company’s systems, teams, and customer experience around agents. They discuss why Kavak spends as much engineering effort on evals as it does building agents, how its AI sellers outperform its human teams, and an experiment where an AI “CEO” increased profits in one city by 50% in its first month.
The conversation also explores what happens to organizational structure when agents do most of the work, why Kavak trains everyone from executives to mechanics to build with AI, and Alejandro’s argument that companies looking for incremental AI adoption may be missing the larger opportunity: redesigning the organization itself.
Timestamps:
00:00 – Intro
01:03 – Machine Learning Before Transformers
02:23 – What Kavak Does & the Agent-Per-Customer Architecture
04:59 – Three Bets: Redesign the Company, Build Superhuman Agents, Change the Metrics
10:49 – Agents That Sell: 2.1x Better Conversion Than Humans
14:23 – Car Loans Approved in Three Minutes
16:13 – The AI CEO Experiment: 1.5x Profits in Six Weeks
20:13 – The Jedi Academy: Training Mechanics to Ship Agents
28:44 – Destroying Two Years of Work: From Multi-Agent Graphs to One Agent Per Customer
32:52 – Creative Destruction & Ford’s Factory: Why Adoption Isn’t Enough
34:45 – Advice for Founders: The Most Exciting Time in Human History
Resources:
Follow Alejandro Maza Ayala on X: https://x.com/alehandromz
Follow Angela Strange on X: https://x.com/astrange
Follow Gabriel Vasquez on X: https://x.com/GEVS94
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