Automate 60% of financial accounting processes for electricity billing of mobile base station, ensuring timely financial analysis.
The objective of this catalyst "Smart financing accounting with RPA and AI" is to research and develop Robotic Process Automation (RPA) with the integration of artificial intelligence (AI), continuously improve the standardization, automation and intelligence of financial operation, reduce financial operation costs, and help improve the quality and efficiency of financial management. First of all, we utilizes process mining to visualize and analyze current financial accounting processes, enabling the identification of issues. Secondly by integrating RPA and OCR capabilities, we automate and enhance the entire financial accounting processes, creating a closed-loop from performance bottleneck discovery to automation implementation. At last, telco operators can handle massive volumes of data related to base station electricity bills seamlessly and within tight timelines, with "Zero Touch" financial accounting process automation in place, If you want to have a quick look first, you may check out the Arena Presentation Outline, which follows TM Forum template to provide you the required highlights on the catalyst. Otherwise you can download the whole Project Overview slides deck to have a deep dive into this catalyst and let us know your feedback and suggestions with review comments. In this catalyst, we have prototyped a use scenario demostrate how Telcos may optimize the financial opertion process based on the AI enabled RPA. You may watch the PoC Demo Videos to see how the solution is implemented.
Autonomous financial management calls for robotic process automation
Catalyst Project on Production
Human Operation based Automatic Process Orchestration
Arena Presentation Outline
Email the members of the Catalyst team to request more details.
Go green powered by AI; maximize CSP resource efficiency and minimize energy consumption and negative environmental impact
Keeping the human-in-the-loop to maximize the business value of AI-driven digital transformation.
Reduce OPEX and improve customer satisfaction for cloud-based services using AIOps and advanced topology modelling.