Challenge

The process of enabling new drivers on the company platform is one of the most critical success processes for the operation of the application. Failures or delays in this process can generate high exposure, which can impact the perception of quality and reliability of drivers in relation to the platform. The company had the need to streamline the process of checking criminal records and checking registration data with the Internal Revenue Service regarding driver candidates to ensure a high degree of confidence and scalability of the business. The Background Check process had approximately 5000 driver candidates per day for the company in approximately 40 judicial bodies in Brazil. The challenge was to create an agile evaluation process and thus simplify the approval or disapproval of the driver. It was also to carry out a background check of all drivers of the company in an automated way and with scaling of infrastructure resource, according to demand.

Solution

We developed an application on our RPA BringTo Platform that managed the CPFs to be submitted for evaluation, which relies on robots to make queries on portals (courts, serasa, etc.), and then saves the evidence and generates automatic approval / disapproval reports of the candidate. The design and implementation was carried out involving the integration with 40+ bodies, including judicial bodies (TJ's and TRF's), Google and the Internal Revenue Service. With the automation of tasks - through Robotic Process Automation (RPA) - of criminal background checks, validations of registration data related to the Internal Revenue Service and the implementation of API-based integrations.

Benefits

The process of enabling new drivers on the platform has been drastically reduced, allowing the registration of new drivers quickly and automatically, with all safety checks ensured. The perception of service quality also had a positive impact, which reflected in the increase in trip requests and company revenue.