Ale Massa
Chief Product & AI Officer, Kavak. On 1 show, 1 appearance. The Shows tab opens the full record on each.
executivefounderscientistinvestor@alehandromz ↗LinkedIn ↗kavak.com ↗
Alejandro Maza was the founder and CEO of OPI Analytics, which was acquired by Kavak in 2023. At Kavak, he serves as Chief Product & AI Officer, redesigning company operations and systems around autonomous AI agents.
1shows
1appearances
24statements
0resolved
0supported
0contradicted
Everything Ale Massa said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Massa: Kavak AI sales agents convert 2.1x better than human teams
“And it, at first it converted, like, 50% more than our human team, and now it's converting over that, like, 2.1 x more.”
Massa: AI will likely be capable of CEO roles by 2035
“Is, is AI going to be able to do this job, like even the CEO job or jobs where the leadership is? And the answer honestly is probably yes. Like in 2035 with a rate of improvement, it will be able to do so.”
Massa: Kavak Uses AI Agents as Managers Over Human Workers
“And then if you look at Kavak now, any process, it's really a collaboration of, Agents and humans, and sometimes like agents are the bosses or of humans, and sometimes humans are designing the agents.”
Massa: Multi-Agent Graph Harnesses Constrain Advanced Model Intelligence
“The intelligence now doesn't need like the graph and the multi-agent lattice work and harness because it will constrain this level of intelligence.”
Massa: Handing LLM tools to unchanged teams yields zero efficiency gains
“The first, and this is where I think many companies are stuck right now, is the first instinct is, okay, let's adopt AI. And you basically leave your structure as it is and just give ChatGPT or Claude to your team. And then there's no efficiencies. Your custom…”
Kavak Bet AI Agents Could Outperform Its Best Human Hires
“And this is the second bet that we made that, that we could build superhuman agents. This means that by every dimension that matters, like conversion, lifetime value customer experience, our agents would outperform the best human we had ever hired.”
Kavak AI Agents Handle 96% of Interactions and 95% of Transactions
“90, like 96% of all interactions are handled by agents. So, so no humans there. Like 95% of all transactions are completely handled by agents.”
Kavak: Experimental AI Branch Manager Increased Profits by 50%
“The goal of the first month was to double the profits of Cuernavaca. It didn't reach it, but it was 1.5 X, like 50% more profits just by managing the city, which is, it's crazy, right?”
Massa: Kavak Mechanics and Finance Staff Ship Production AI Agents Within Weeks
“So we train everyone, and after six weeks, they launch state-of-the-art agents, AA agents to production. And it's mechanics and finance guys and engineers, like, everyone can do it.”
Handing AI Failures to Tier-Two Support Fails Without Closed Feedback
“Most of these agentic systems in production right now, like large scale agentic systems, usually if an agent hits a wall or can't perform anymore, it'll like send the, this case or this customer to a tier two support and forget about it. That doesn't really wo…”
Massa: Enterprise AI transformation must be top-down, not bottom-up hackathons
“The first is it has to be top down because of this. Like, if you just get adoption, it won't go anywhere because it's hard to generate this taste or strategy for people to bottom up, decide what to build and whatnot, and come up with something that works for t…”
Kavak Scrapped Two Years of AI Infrastructure for Newer Models
“So we decided to like destroy everything we had been building for two years that was working, that brought us to profitability, that brought us amazing growth. And start over with a harness that we thought would be robust and scalable and leverage recursive se…”
Kavak Spawns a Dedicated Agent with Its Own VM per Customer
“So when a customer comes in right now agent will get spawned specifically for this customer with its own virtual machine. It will remember years of interaction of these customers with Kavak, what they visited in the webpage or like Call they had two years ago.”
Massa: Long-Running Agents with Hard Goals Outperform Basic Workflows
“We realized to bet that long running agents with hard goals, not just workflows could maximize our customers satisfaction and obviously their lifetime value.”
Massa: Kavak assigns AI agents to most of its 10M customers
“And we moved to a relational company where now I have ten million customers in my database and I have agents assigned to most of them with the task of maximizing their lifetime value.”
Kavak Spends Equal Time and Resources on Evals as on Agents
“We spend about the same amount of time, engineer time, tokens, and money on building the evals than building the agents.”
Massa: Deploying AI sales agents tripled Kavak NPS and CSAT scores
“We tripled NPS and customer satisfaction score by putting the agent in front of the customer.”
Massa: Kavak approves car loans in under three minutes
“And usually in, in Mexico and in some emerging markets, it'll get like two months or more to get a car loan approved. We usually approve it in under three minutes which is like pretty cool because we have all this data around the customer and the car.”
Kavak measures the specific ROI of individual tokens used by AI agents
“Level tier three tokens, the most valuable. Are this agents where you can get the ROI of each specific token? And I can do that now. That's great news for me because I'm growing. And because I know the ROI of each token, because it goes to agents that are perf…”
Kavak instantiates between 100,000 and 200,000 AI agents daily
“Every day between a 102 100,000 agents get instantiated in a day. They wake up, they work sometimes for three minutes, sometimes for eight hours, sometimes for three days, and they like set an alarm clock for their next task and to go back to sleep.”
Massa: AI agent evals should measure conversion, not call volume or duration
“Like I see companies like measuring number of calls or minutes during the call or some like superficial KPIs that give you some information, but that doesn't really work. Like the important thing is Did this customer convert? Is it bringing value to the custom…”
Massa: Kavak's org consists of teams building, supporting, or executing for AI
“The way it looks like now is very flat teams, very senior teams, super empowered. If you look at a team, you'll have engineering, AI, like operations, like everything. And they're either building the agents, working for the agents, or being in the physical wor…”
Kavak: Mechanic AI sidekick reduced warranty claims by 20-26%
“Warranties came down around like 20, 26% since we launched and customer satisfaction again went up.”
Ale Massa: Kavak Had to Vertically Build Latin America's Car Infrastructure
“But to do that, we also had to build a fintech and a logistics company and the Carfax and like Basically, all the infrastructure for this to work didn't exist in, in LATAM, so we had to build everything vertically so we could serve our customers the right way.”
One line per show, most statements first. The link opens Ale's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 a16zLEDGER | Chief Product & AI Officer, Kavak | 1 | 24 | — | full record on the a16z Podcast → |