近年来，国外能源行业发生巨大变化：垄断逐渐被打破，新的市场进入者不断涌现。为了保持竞争优势，不少大型能源企业开始部署RPA，以加快数字化转型，实现降本增效。
项目背景
某大型电力公司是英国六大主要能源供应商之一，向全英国超过500万用户供应燃气和电力。
随着用户数量的不断增多，公司的财务业务需求也日益增长。作为公司核心部门的财务共享服务中心，以手工日记账分录流程为试点，通过实施RPA来提高运营效率，降低人力成本。
应用业务
手工日记账分录流程
实施RPA前
1．涉及大量人工工作，同时需要多个不同系统协调完成。
2．每个月底都要创建、修改大量日记账，2名员工花费大约70个工时才能在规定时间内完成。
3．月底业务高峰期时，员工需要延长加班或雇佣临时员工。
实施RPA后
1．RPA可跨系统自动处理大批量的财务数据。
2．机器人代替员工执行业务，大大缩短了数据处理时间，提高了效率。
3．RPA减轻了员工的工作量，缓解了业务高峰期的人手不足。
4．机器人可自动检查录入是否符合ERP系统要求，不符合则将错误截屏退回发起人，员工只需负责对录入内容进行审核。
实施效果
通过实施RPA，该公司缓解了高峰期业务量大等难题，每年可节省5万英镑。仅财务共享服务中心就实现了8个流程的自动化，在时间和资金方面带来了5倍以上的投资回报率。
RPA Deployment Case of a Large Power Company in UK
Recently, energy industry has changed greatly for the breaking up of monopoly and up spring of new market entrants. To keep competition advantages, lots of large energy enterprises get down to deploying RPA for speeding up digital transformation so that they can reduce cost and increase efficiency.
Background
The large power company, one of the main power suppliers in the UK,is supplying gas and electricity to over 5 million customers across the UK.
With the continuous increase of customers, the financial business needs of the company are also increase. As the core department of the company, financial shared service center takes the manual daily data entry process as a pilot to improve operational efficiency and reduce labor costs by deploying RPA.
Deployment business
Manual daily data entry process
Before deploying RPA
1. The process requires a lot of manual work and the coordination of several different systems.
2. A large amount of daily data are created and modified at the end of each month, and it takes two employees about 70 hours to complete within the specific time.
3. The company requires the employees to extend overtime or hire temporary staff at the peak of business at the end of the month.
After deploying RPA
1. Robots can check whether the input meets the requirements of ERP system automatically. If not, the error screenshots will be returned to initiator. Employees are only responsible for reviewing the input.
2. RPA can process a great number of financial data across systems automatically.
3. Robots can replace employees to operate business. It reduced data processing time greatly and improved efficiency.
4. RPA has lightened workload of employees and relieved the shortage of manpower in business peak time.
Deployment effects
By deploying RPA, the company has alleviated the problem of high volume of business during peak hours, saving 50,000 pounds a year. The financial shared service center has realized eight automatic processes which bring more than five times the return on investment in terms of time and capital.
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