The financial area is about to be occupied by a robot?
RPA is bringing new digital wave of transition to corporate finance. Along with PricewaterhouseCoopers, KPMG, Ernst & Young, Deloitte & Touche "spare no effort" to promote financial robotics, RPA already blowing in the financial wave of the financial sector.
RPA first appeared in the financial field, is no accident. 
RPA and financial work is a perfect match
in fact, the financial business characteristics and technical characteristics of RPA in many ways, are extremely consistent.
Finance is a rule of the strong field, and there are a lot of repetitive tasks need to be done manually in the business process.
Such as bills to receive, review, report issued by other infrastructure work, standardized operating rules are based. It is often required financial resources for this purpose a lot of calculations, checking, validation and other work, the error rate and a significant increase in labor costs.
Rules are clear, a lot of repetition, these two points, the RPA in the financial field come into play.
RPA's core essence, that is, through pre-configured scripts, simulation manually (especially the keyboard typing, mouse clicks and other operations) on a computer, to perform high-volume based on certain rules, repeatable tasks.
Looking at the financial field, this process abound. Whether it is money management, claims management, tax management, records management, fixed asset management, or procure to pay, order to cash, inventory cost, general ledger to the report, control and compliance. Common financial processes and sub-processes are highly matched with the application conditions RPA technology, comply with the applicable standard RPA robot.
In the original spend a lot of time and human resources costs and higher error rate manual business processes, applications RPA robots that will maximize the efficient operation of financial processes, while reducing the cost of financial operations. 
RPA + AI: open financial data last fortress
early RPA often only good structured, digital data information recognition processing. Now, after a combination of optical character recognition (the OCR), AI speech recognition technology, the RPA can identify a large number of unstructured data.
In the input using OCR technology, the paper can easily RPA invoices, vouchers, books, contract code, date, amount and other information scanned into the computer, and identifying information for the electronic logic and billing robot to RPA, issued a report, follow-up treatment. And speech recognition technology to help the robot recognition RPA, the recipient's voice instruction, the digital information from the speech recognition and processing.
RPA + AI to replace the traditional manual input, in a more accurate, faster and more efficient way, leading the trend of intelligent automated processing, timely response to business change and development. 
Learn to accept RPA robot colleague
nature of accounting work determines its final RPA will use this automated fashion. RPA's appearance, but also makes such as "Accounting panic", "accounting will be replaced by" This topic prevalent. On the surface, RPA robot for financial officers who engage in simple basic notes entry, calculation of a single work, indeed dangerous replaced.
But in the long run, RPA to those employees interested in moving from low-end to high-end financial personnel financial management, provides a good growth opportunities.
With the continuous expansion of the finance function and financial work is no longer just a few structured data provided in the report so simple. High-level financial executives, will have to take a strategic, corporate finance activities globally on the basis of analysis of various factors affecting the liquidity of the long-term and creative planning.
RPA appears robots, not so much "substituted", as it is the financial officers of "liberation." By substitution of a single repetitive typing keyboard with a mouse click, maximize reduce the workload of financial staff. When the financial officers do not put time on low-value-added work accounting, recording and so on, you can devote more time and effort, in-depth analysis of financial data, business or organization to improve business decision-making. 
In the future, RPA + AI "Century combination" will be the best way, the ability of man and machine combine to achieve human-machine collaboration. On the basis of satisfying process automation, improve efficiency on help finance staff to focus on more valuable, more creative work, to achieve the transition to a higher level of financial managers.
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