Our client is a multinational, publicly-traded, credit reporting agency that offers risk modeling, identity theft protection, and verification solutions to businesses and individuals. Based in the U.S., its revenue exceeds $4.1 billion, with more than 11,000 employees worldwide. The client aims to provide unique data assets, technology, and analytics that help people and businesses live their financial best.
TURNING TO AUXIS FOR OUR FINANCE TRANSFORMATION EXPERTISE
As part of its digital transformation efforts, the client had established an internal Global Center of Excellence (CoE) in Costa Rica to implement RPA with the UiPath platform, starting with the deployment of optimization opportunities within its Shared Service Center.
Despite their deep experience in RPA, the client lacked functional expertise in Purchase To Pay (P2P) and reached out to Auxis to help them assess and identify the biggest automation opportunities in their P2P organization.
Leveraging our more than 24 years of experience in finance transformation, Auxis performed an in-depth assessment of the Purchase To Pay function and delivered a list of prioritized automation opportunities that uncovered savings of more than 20% of the overall cost of the current operation.
ESTABLISHING A HYBRID RPA COE BY UTILIZING AUXIS’ UIPATH CERTIFIED DEVELOPERS
Armed with Auxis’ identified ROI and designed RPA workflows, the client’s CoE was able to develop a substantial automation pipeline for the Finance Department.
Unfortunately, a backlog quickly emerged because the client’s internal UiPath developers lacked the bandwidth to keep up with surging automation demand.
Months after the initial RPA assessment, the client turned to Auxis to leverage our proven UiPath development capabilities from Costa Rica. As one of the first UiPath implementation partners to join the elite group of UiPath Services Network (USN) Partners in the Americas, Auxis had the talent and expertise to quickly customize a successful hybrid RPA delivery solution.
Within a week, Auxis UiPath Certified Developers were working as a seamless extension of the client’s internal CoE to successfully build and deploy automation.
By implementing a hybrid RPA development model with Auxis, the client was able to:
|Get faster access to proven UiPath talent, one of the most wanted and scarce skills in today’s business world|
LinkedIn’s “2020 Emerging Jobs” report dubbed robotics “an industry on fire”, with “Artificial Intelligence Specialist” and “Robotic Engineer” being ranked as the two fastest growing positions in the job market. This trend and labor shortage in the RPA space is expected to continue, with 70% of organizations planning to hire more RPA developers in the next year, according to UiPath’s “2020 State of the RPA Developer Report.
|Benefit from a more flexible, agile resource model to accommodate changing demand|
Auxis’ hybrid delivery solution allows the client to scale its development team up and down with high-quality UiPath resources as needed. That way, the client can avoid hiring, training, and retaining pricey, permanent positions to handle a short-term crunch, significantly simplifying its talent management.
The client also benefits from the advantage of having Auxis’ nearshore resources under their same time zone, enabling better collaboration with their teams and a more agile deployment model.
|Improve the ROI of the RPA program by unlocking opportunities in Purchase To Pay|
Auxis accelerated the client’s RPA journey by providing its internal CoE with a proven methodology to identify and design additional automation opportunities in an area that they had not previously tackled.
|Leverage the latest upgrades and capabilities from the UiPath platform|
By partnering with Auxis, the client can stay up to speed with the newest incorporations to the UiPath software, including test automation to ensure the quality of every automation and application before and after they go live.
Pleased with the success of its RPA partnership, the client aims to continue using Auxis’ UiPath certified developers to absorb its automation backlogs as needed.