How the oil company Chevron carried out a digital transformation and now saves 600 thousand hours of work

In mid-October 2021, the multinational energy company Chevron turned to robotic automation of processes based on artificial intelligence (AI). The company seeks to streamline operations and automate some tasks within the company.

Chevron has increased the return on its automation investments, while deepening the use of technology and extending it to various areas of the organization. According to Vicki Harris, manager of application platform engineering services at Chevron, by October 2021, the company had implemented about 300 automation projects that save more than 600 thousand hours of employees.

The oil company Chevron carried out a digital transformation and now saves 600 thousand hours of work

Chevron's path to automation began in 2018 mainly with trial concepts. Since they proved their effectiveness quite easily and quickly, the company decided to expand the program. The automation provided by the UiPath was then applied to the back office, first to the work of currency conversion, which in global companies often requires a lot of manual labor. Automation soon moved to other areas, reaching oil well drilling mapping systems, which is part of Chevron's core business.

Chevron already uses artificial intelligence (AI) and robotic process automation (RPA) to optimize the process from data sources to automatic retrieval for input into server systems. The company already has a working solution that uses Form Recognizer, part of Microsoft Azure Applied AI Services on the RPA platform UiPath to automate data extraction. In Canada, the company completed a successful validation of the concept, which extracts data from publicly available regulatory reports submitted by Alberta well operators as a means of comparing its performance with similar enterprises.^[1]

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