Automas, a leading Colombian company dedicated to vehicle inspections, was facing a bottleneck in its customer service process. The manual collection of mandatory government information was a slow and error-prone process that extended customer wait times. To optimize their operation, the IT department implemented an RPA solution with STELA that not only accelerated the service but also generated significant and unexpected cost savings.
Client: Automas, a leader in vehicle certification in Colombia.
Challenge: A manual process to download and register vehicle information from a government portal (RUNT), which caused delays in customer service and was prone to errors.
Solution: A team of 5 STELA bots running in parallel to automate the full cycle of querying, downloading, and uploading documents to the internal ERP, handling 7,000 cases per month.
A 20% acceleration in the overall speed of the customer service process.
An 80% monthly reduction in overtime costs.
30 hours of manual work saved per week, freeing up staff for other tasks.
Improved ROI by allowing more customers to be served more efficiently.
In Colombia, technical vehicle inspection is a mandatory requirement. Part of the vehicle reception process at Automas involved registering its official information. To do this, staff had to manually enter the government’s RUNT (National Single Registry of Transit) platform, search for the vehicle’s record, download it as a PDF file, and then attach it to the documentation in the company’s internal ERP system.
This manual process was the main “pain point” of the operation. Not only did it consume a lot of time, but it was also prone to errors due to data handling and transcription. Consequently, the negative impact was twofold: on one hand, employees spent valuable time on a repetitive task; on the other, customers experienced longer wait times than necessary. This inefficiency limited the number of clients each employee could serve, directly affecting the profitability of their operations.
Automas contracted Software Testing Bureau for a “turnkey” solution. Specifically, an RPA system was developed with STELA, designed to handle a high volume of transactions and guarantee minimal response times, as the bot is an integral part of the real-time customer experience.
The solution consisted of 5 STELA bots running simultaneously to process approximately 7,000 cases per month. The workflow for each bot is as follows:
STELA’s robustness was key, as the bot had to interact seamlessly with multiple systems of various technologies: government web portals, Automas’s internal systems (via web, API, and database), and insurance company web portals. In addition, the low subscription cost of STELA RPA for running the created bots was an important factor in the decision.
The automation of this critical process generated measurable benefits for both the customer experience and the company’s financial health.
Ultimately, this time savings and increased efficiency allowed Automas to process a higher volume of work, improve the quality of its service, and optimize the overall profitability of its operations.