Speaker
Alejandro Maza Ayala
Appearances over time
1 episodes
Episodes
1
Podcasts
Quotes & moments
Kavak's AI agents handle 96% of all customer interactions with no human involvement.
95% of all Kavak transactions are completed end-to-end by AI agents, not humans.
Between 100,000 and 200,000 unique agent instances are spun up at Kavak every single day, each with its own virtual machine.
Kavak spends roughly equal engineering time, tokens, and money on building evals as it does on building agents themselves.
Kavak's AI sales agents now convert customers at more than 2.1 times the rate of the company's best human salespeople.
An AI agent deployed as 'CEO' of Kavak's Cuernavaca city operation increased profits by 50% within its first month.
Kavak's Net Promoter Score and customer satisfaction score tripled after deploying AI agents as the primary customer-facing interface.
Kavak approves car loans in under 3 minutes, versus the 2+ months typical in Mexico and other emerging markets.
Since deploying AI sidekick agents to Kavak's mechanics, warranty claims fell by approximately 26%, reflecting higher-quality car inspections.
Kavak's internal Jedi Academy trains every employee — from CEO to mechanics — to build and deploy AI agents to production in 6 weeks.
Superficial adoption of electricity gave factories only 6% efficiency gains; fully redesigning factories around it delivered a 3x productivity improvement that powered 20th-century US growth.
Kavak has 10 million customers in its database, each with AI agents assigned to maximize their lifetime value.
Kavak launched the Jedi Academy, an internal program where every employee — from CEO to mechanics — completes a 6-week training and ships a production-ready AI agent. The message to staff was blunt: train and adapt, or this may not be the right place for you.
Factories that replaced coal engines with electric ones in the early 1900s got only 6% efficiency gains. Those that redesigned their entire factory around electricity got a 3x productivity improvement. Swapping AI tools into your existing structure will give you 6%. Rebuilding around AI will give you 10x.
Kavak carved out a city in Mexico, gave an AI agent the CEO role, and watched it raise profits by 50% in its first month. The agent sent daily task plans to every physical worker, monitored KPIs in real time, and micromanaged inventory, financing, and customer satisfaction simultaneously.
96% of all customer interactions and 95% of all transactions at Kavak are now handled by AI agents. Between 100,000 and 200,000 agent instances wake up every day, each with its own virtual machine, working anywhere from 3 minutes to 3 days before setting an alarm for their next task.
Simply giving employees ChatGPT changes nothing. Kavak's first move was to rebuild its APIs, systems, and feedback loops so agents could actually do the work. The second bet: agents could be superhuman — outperforming the best human hire on every metric that mattered.
Most companies treat evals as an afterthought. Kavak treats them as the foundation. Spending equal engineering effort on evals and agents is what allows Kavak to deploy at massive scale without blowing up — because better brakes mean you can press the gas harder.
Kavak's AI sales agents now convert customers at 2.1x the rate of its human team, and also tripled NPS. The agents handle everything from car recommendations to financing to trade-in quotes — a 15-skill job that no single human could match.
Middle management is disappearing at Kavak. The new org is flat, senior, and hyper-empowered — each team blends engineering, AI, and operations. Some humans build agents, some work for agents, and some serve the physical world. It's a structure that didn't exist 2 years ago.
Most companies measure AI adoption by token spend and call it progress. Kavak built a 3-tier framework: Tier 3 tokens go to autonomous agents with measurable ROI per token; Tier 2 to dev tooling with indirect measurability; Tier 1 is employees using ChatGPT with no accountability. Only Tier 3 compounds.
When Claude Opus 4.5 arrived, Alejandro realized Kavak's entire multi-agent graph architecture — two years of work, profitable, scaling — was the wrong paradigm for the new level of intelligence. They tore it down and rebuilt around long-running single agents with virtual machines, memory, and CLI access to every company API.
Everyone is obsessing over model-level recursive self-improvement. The real prize is organizational RSI. For 4,000 years, economic value has been created by organizations, not individuals — so the compounding loop that matters is the one that makes your company smarter every day, not just your AI model.
Most companies build task-specific agents. Kavak builds one agent per customer, with its own virtual machine, long-term memory, and a single goal: maximize that customer's lifetime value over years. The agent wakes up, works, sets an alarm, and comes back — it never forgets.
Physical dexterity is still irreplaceable. So for Kavak's 800 mechanics, the company built 'El Mike' — an AI sidekick inspired by Ratatouille's Remy, guiding mechanics through inspections and repairs. Result: faster inspections, higher quality cars, and a 26% drop in warranty claims.
The right way to build now is to project a linear trend for AI improvement and design your company for that future state — then build backwards. This is the first time in history that the most powerful tools available are accessible to any founder for $20 a month.
Analysis
What they talk about
- Business 73%
- Technology 27%
