Cómo FINN Usó Make AI Agents para Reducir los Ciclos de Desarrollo de Semanas a Horas

FINN grew from a startup in 2020 to a 300+ employee car subscription platform serving over 40,000 customers. As the company scaled, the gap between business needs and technical execution — traditionally bridged by software engineers — became a bottleneck. Teams had to queue work through engineering, slowing iteration and creating dependencies that limited the pace of product and operational improvement.

FINN built a structural response: a dedicated team of 10 professionals called BAAMs (Business Automation and AI Managers). These roles combined business domain knowledge with technical automation capabilities, using Make as the primary platform. The BAAMs function eliminated the handoff model — instead of business teams submitting requests and waiting for engineering cycles, BAAMs could directly build, deploy, and iterate on automation and AI solutions.

Make AI Agents became a key capability for handling complex tasks that previously required constant engineering maintenance, such as web scraping that breaks when source sites change. The visual, no-code nature of Make also enabled broader employee participation — FINN trained all employees on the platform, creating a self-service culture where teams could solve their own operational problems without filing a ticket.

The outcome was a fundamental shift in development velocity. Cycles that previously took weeks compressed to hours. Teams gained the ability to act on problems immediately. As one FINN leader described it: "We can make things happen immediately and drive value fast without needing to talk to engineers." The BAAM model has since become a core part of how FINN scales its operations and product capabilities without proportionally scaling its engineering headcount.