Kavak deployed AI agents as salespeople that convert 2.1x more than human teams, outperforming them across every important metric.
Kavak built sales agents rather than support agents, and these agents now convert over 2x better than human teams while tripling NPS scores. ✦ AI generated
Ali Massa · a16z Podcast · 2026-08-10 · original ↗
starts at this moment · 10:55
“Do your agents really sell to customers?”
So, we never built customer support or customer service agents. We we we built like sales agents... The experience for the customer is amazing. We tripled uh NPS and customer satisfaction scored by putting the the agent in front of the of the customer. And it first it converted like 50% more than our human team, and now it's converting over that like 2.1 uh x more. So, it's a completely different company. >> agents are better sellers. >> Totally better. And and and you get this, right? Because they're experts and they're infinitely patient and they know all your history and they they they can plan for the long term and they never get tired. So, and if they make a mistake, they learn it and the next day, not just them, but the other 200,000 agents will have learned from that mistake.
verbatim transcript · starts at 10:55
10:55customers and being able to perform >> Mhm. >> the highest leverage task, which in your case would be selling. Do your agents really sell to customers? >> Yes. So, so we never built customer support or customer service agents. We we we built like sales agents. It's extremely hard to sell a car in in Latin America. So, imagine someone wanting to buy a car, they can choose like among like 20,000
11:21SKUs. Then they need to pick like financing and go through the financing process, insurance, and and coverage. And then they're probably trading in their car. So, so we need to quote that car. So, it's a process that if someone does it or or the way Kavak did it back in in in 2020 2021, was you need to be extremely good at 15 different things and have 15
11:46different experts in 15 different teams. And usually the person would go and speak with the expert in financing, the expert in car car advisory, the expert in buying, the expert in insurance, and they'll build a package and buy a car. That's extremely hard to do. But, like the first thing we did was, okay, can we get an agent to be better than the expert in each of these things? And then
12:13put it together and have like a mega expert that's an expert in insurance, financing, etc. And that's who we put in front of the customer. So, the experience for the customer is amazing. We tripled uh NPS and customer satisfaction scored by putting the the agent in front of the of the customer. And it first it converted like 50% more than our human team, and now it's converting over that like
12:402.1 uh x more. So, it's a completely different company. >> agents are better sellers. >> Totally better. And and and you get this, right? Because they're experts and they're infinitely patient and they know all your history and they they they can plan for the long term and they never get tired. So, and if they make a mistake, they learn it and the next day, not just them, but
13:05the other 200,000 agents will have learned from that mistake. So, that's the feedback loop that we engaged and and that's showing in the growth and results and satisfaction of our customers. >> Yeah. One of the well, one of two of the very cool things I think about Kavak is I think I think the world has gotten comfortable with AI can do customer service. It's still very hard to do
13:26well. But, you know, as Gabe said, there's still a view that well, customers aren't going to want to buy expensive things from AI. And you are proving them wrong. >> Yes. >> The next layer on that is well, you're not actually going to be able to do regulated financial services end-to-end with AI. >> But if you walk through what you're doing, you are underwriting a thin or no
- ·AI agents convert 2.1x more than human sales teams
- ·Tripled NPS and customer satisfaction scores
- ·Built sales agents, not support agents
- ·Infinitely patient with customers
- ·Know full customer history
- ·Plan for long-term relationships
- ·Never get tired or fatigued
- ·Mistakes learned instantly across fleet
- ·200,000 agents improve simultaneously
- ·Collective learning compounds daily
- ·Initial lift: 50% above human baseline
- ·Now exceeding humans by 2.1x
- ·Performance continues climbing
- ·Agent advantage widens over time