Case Study: PRIO saves 800 work hours monthly with BotCity Python RPA

Prio Saves 800 Work Hours Monthly with Python RPA

Prio, an independent oil and gas company in Brazil, faced a challenge with scalability and efficiency in its back-office operations. The company was concerned about vendor lock-in and high costs from low-code automation tools, which were limiting its flexibility and agility. Seeking a cost-effective and flexible solution, Prio partnered with BotCity to implement its code-based robotic process automation (RPA) and orchestration platform, primarily using Python.

The solution from BotCity enabled Prio to transition to a scalable operational model with effective automation governance. This resulted in the automation of 8 processes, a 72% reduction in pending fiscal processes, and monthly savings of over 800 work hours across IT, fiscal, and compliance areas. BotCity's platform also provided the foundation for Prio to integrate AI and embark on a journey of hyperautomation.

Prio

Wescley Fernandes

IT Manager