Satispay Integrates Claude AI to Accelerate New Releases Compressing an 18-Month Roadmap into Just 7 Months
The fintech Satispay has significantly accelerated the development and release cycle of updates thanks to artificial intelligence. The company has chosen to offer Claude from Anthropic as a tool for its developers. Within a year, the results are already evident: an 18-month schedule has been completed in just 7 months.
How Claude is Accelerating Satispay's Development
Writing code is one of the tasks where AI excels. Satispay decided to equip its development teams with Claude, one of the most effective AIs in this regard, and right from the start, the developers appreciated it. Today, Claude produces about 75% of the platform's code and is used by almost all internal developers (90%). For customers, this translates into a much faster development cycle, with new features being made available more frequently.
The company is now aiming to further expand the adoption of Anthropic's solution and is experimenting with additional levels of automation, always keeping a person in the decision-making cycle for critical choices. One initial pilot involves the automatic generation of code drafts from tickets opened by other teams, with engineers responsible for review and final approval. A second pilot concerns transaction protection: the AI supports real-time monitoring, while the specialized team maintains control over critical decisions.
“For Satispay, which has built its history on innovation in payments, the challenge today is to turn a technological vision into new services for millions of people at an ever-faster pace,” says Dario Brignone, Co-Founder and Chief Innovation Officer of Satispay. “The adoption of Claude has allowed us to plan for the release of about 50% more features in the first half of 2026, a leap in speed that traditional organizational models would not have allowed. While the quantitative data is important, the qualitative aspect is even more decisive: we have given people more powerful tools while reinforcing the culture of responsibility. AI is an accelerator, not a substitute for human judgment - and at Satispay, this distinction is not a policy, it’s part of how we work. After redesigning the product roadmap,” Brignone concludes, “we are exploring with the same attention how AI can further enhance the value of the services we provide to our 6 million users and our network of 450,000 partner businesses, always aiming to simplify and make money management in everyday life clearer.”
Commenting on the changes, Fabio Rapposelli, CTO of Satispay, states, “As pioneers in the industry, we had a mature payment codebase, and the junior engineering team spent more time reading code than writing it, while the seniors ended up teaching rather than architecting. With Claude, we changed the model: the tool is on every laptop from day one, used to write new code, modify existing services, navigate unknown parts of the codebase, and perform the first round of reviews before the human ones. The most evident result is the update of our core payment system—managing every transaction on the network—completed in less than four days instead of the planned four weeks, ten times faster than expected. And a roadmap for code evolution that we estimated at 18 months was completed in 7. In parallel, we have industrialized operations that previously took days: data transformation functions for each payment are now generated automatically in under an hour, compared to the three to five days they took before. We are entering a phase where the engineer increasingly becomes the head of a team of agents: junior profiles can operate above their experience level because AI provides valuable support, while final control remains firmly in human hands.”
Thomas Remy, Head of France, Southern Europe & META at Anthropic, comments: “The engineering team at Satispay has concretely demonstrated what it means today to develop at a completely new speed. Condensing an 18-month roadmap into just 7 and updating the core payment system ten times faster than expected represents the type of step change that can happen in leading-edge companies. Making the capabilities of advanced AI models available to the Italian economy is our priority. To achieve this, it is essential to gain the trust of Italian businesses by developing Claude according to the highest safety standards, suitable for regulated and crucial contexts like digital payments.”