This Tech Talk
was a combined effort of Brandon Hum and Hannah Miller
With growing technological advances, many
mundane tasks are becoming automated and standardized. There is not a single
industry that is immune to the current technology climate, and thus must adapt
their practices to remain competitive and efficient, much less relevant. The
accounting industry is no exception, as most companies in public accounting
have begun to adopt Robotic Process Automation (RPA) within their routine
practices.
What is RPA?
RPAs are a type of software that allows for
instant processing and analysis of basic or day-to-day transactions. It is
typically a mix with artificial intelligence that allows it to have high-level
thinking at high capacities. It can be programmed to fit different needs
throughout the business, depending on service line, account type, etc. The
trick to RPA is that it requires rule-based processes. When an RPA has defined
boundaries, it can use applications to process information, change data, and communicate with
other systems (Boulton, 2018).
Accounting Application
It is important to note that RPAs are applied
differently depending on the service line. In tax, for example, they have a
base set of rules and different software that would require a different
structure of an RPA. A tax accountant is looking to ensure their client is
meeting regulation and providing proper recording, whereas an auditor is doing
test work to ensure accuracy and proper representation. RPAs are therefore more
suited for audit work because work can be refocused on analysis rather than the
simpler tests required.
In this article by the CPA Journal, they outline three main steps for
the initial use of RPAs.
●
Process Understanding
●
Audit Data Standardization
●
Execution of RPA-based Audit Tests
Process Understanding is the use of RPAs in
the case of repetitive and mundane tasks that do not require high level
thinking nor opinions. In this RPA application, it would be required that the
tasks are extremely broken down as to not confuse the robot. Audit Data
Standardization would have to ensure that data was consistent in terms of its
format so the robot would not have any issues reading or understanding it.
Finally, in Execution of RPA-based Audit Tests, they would potentially need new
software or skills teams that have a higher level of understanding of the new
system.
Current Usage
Big four accounting firm Ernst & Young has been ranked #1 by HFS Research
because of their innovations and implementations of the system. They have been
able to use over 2,000 robots which conduct the work that would equate 2.1
million hours by humans. Currently their focus is developing RPAs for use in
telecom and as an automated process mapping tool (Sankaran and Burgess, 2018).
Pros and Cons
RPAs allow companies to perform tasks at a
much higher rate, driving higher productivity rates. Many bots are fairly
simple to implement, and can be programmed to cover low-value tasks, leaving a
company’s human capital with more time to perform more value-added services to
clients. In an audit firm, many of the data collection and financial sampling
and testing can be handled by a well-programmed bot. This allows auditors to
focus on analyzing and understanding the data to better opine on the financial statements to their client
(Poulikakos & Putnam 2018).
However, RPAs do come with costs. As
automation increases, so does the potential that the company eliminates some of
its human capital. Also, it can be difficult for companies without the
resources or knowledge to properly implement and scale bots to full cover their
needs. A company that tries to program a bot to perform a task without first
investing in the proper IT environment needed will not achieve the success it
intended. Despite this, with a strong plan, a proper IT environment, and the
knowledge base to implement and scale bots between processes, a company can
successfully use RPAs to increase its productivity.
Additional Links
For more information about Robotic Process
Automation, please see the following articles and video.
- Robotic Process Automation: How does it work?
- 7 RPA Training and Certificate Courses
- What is Robotic Process Automation?
4. So You Want to Use RPA
in Audit — Here’s How You Start
Questions
- Do you see
any potential automation within your future career/industry?
- Do you think
there will be any public lashback over the increased use of robots?
Works
Cited
Boulton, C. (2018, September 03). What is RPA? A
revolution in business process automation. Retrieved from https://www.cio.com/article/3236451/what-is-rpa-robotic-process-automation-explained.html
Poulikakos, A. & Putnam, C. (2018, September 19).
Retrieved from https://blog.protiviti.com/2018/09/19/want-use-rpa-audit-heres-start/
Sankaran, A., & Burgess, B. (2018, November 13). EY
ranked #1 in robotic process automation services by HFS Research. Retrieved
from https://www.ey.com/en_gl/news/2018/11/ey-ranked-one-in-robotic-process-automation-services-by-h-f-s-research
Vasarhelyi,
M. A. (2018, July 11). How Robotic Process Automation Is Transforming
Accounting and Auditing. Retrieved from https://www.cpajournal.com/2018/07/02/how-robotic-process-automation-is-transforming-accounting-and-auditing/
1) My future industry is consulting and though I do not see automation in most of the work I could see it in mundane data analysis. Consulting is a problem solving career and people are hired to come in and understand the full issue and create a solution. I don't see automation coming up with solutions in the near future. It is also very client facing and creating relationships with clients is crucial to success and project retention and creating new projects for a client.
ReplyDelete2. I do think that there will be public lashback with increased automation. I think this because of the public perception of robots taking over human jobs. Robots are doing this, but they are also taking away mundane jobs that people don't want to do. I don't think there will be as much lashback with automation such as the automation in the accounting industry, because it is not as widely known and understood.