1. Processes with standard & rule-based inputs
In RPA, users configure the software to create virtual agents or “bots” that execute the desired transaction or task. Within seconds, bots can increase throughput conducting upwards of 20-step sequences using business logic in an intelligently automated value chain. Transactions can vary in complexity from generating a single return policy to thousands of coordinated bots in CRM/ERP applications. Like a micro task-army, bots need clear instructions to complete operational missions.
2. Repetitive processes
There’s a reason why writing hundreds of lines in school was a punishment - nobody enjoys spending time on repetitive tasks. Instead of punishing our workforce, bots can observe how full-time employees (FTEs) operate by registering user events, observing variables and scraping data. Repetitive processes can be coded, sequenced and scaled without error. Using Machine Learning, RPA tools can recognize similar inputs, forecast workflows and improve task execution based on previous identification errors. Operational rules like Standard Operating Procedures should be the first to be automated as they steal productive time from employees.
3. High volume processes
Unlike limited human capital, bots can execute high-volume decisions up to 15 times faster than humans. Web-based RPA systems act as an automated assistant, quietly and autonomously processing tons of work that doesn’t require human intervention. This allows companies in a digital transformation period to scale efficiently.
4. Processes with controlled and limited exceptions
Traditional IT structures must be leveraged to simplify bot instructions where possible. Once automated by RPA, low-value tasks can be configured in a conditional pathway, using “if not this, then that” decision trees, that are easily understood across the organization. The applications to which RPA is applied must be relatively stable to avoid excessive and costly modification.
5. Processes that can be coordinated and integrated system-wide
To prevent a chaotic network of incongruent bots, business sequences should be traced to expected responses and integrated digital systems. RPA tools act as an orchestration tool between multiple systems and third -party APIs. RPA integration is advantageous in scenarios where API source codes are not available. CIOs must select RPA software that enables a unified experience and therefore heightened productivity.
I-Robot at work: Opportunities for RPA optimization
After business operation processes have been identified, RPA bots are ready to be deployed into daily operations. Workflows that can be enhanced by RPA are cost-effective activities that affect potential revenues.
A common illustration of workflow disruption is the automation of clerical tasks like data entry and email management.
Step 1: Bot extracts attachments from emails
When emails with various types of attachments arrive, the bot extracts data from and sorts the information according to the performance rules it was assigned.
Step 2: Data scraped into created excel file
This information is then categorically transposed into a row on a master excel sheet while the original file is saved in the machine.
Step 3: Accesses related web application
As this task is completed, the bot uses its assigned credentials to log into an enterprise web application that registers data from each excel record.
Step 4: Informs supervisor of work completion
The bot creates new invoice reports, completes compliance forms then sends out an email confirming process completion to the relevant human supervisor.
Businesses are increasingly using RPA for cognitive applications like speech recognition and natural language processing. In this context, a chat bot is prompted to make queries or resolve standardized issues. Cognitive RPA functions have enormous potential to improve customer experience.
If it isn’t broken, don’t fix it…automate it
An advantage of robotics in business is the flexible nature of its applications across any organization. When deciding what processes to automate, businesses must audit existing strategies and implement RPA in those that enhance the entire business ecosystem. Finance & IT are two departments that have benefitted from RPA in their processes more than others:
Accounting and Finance
Processes like bookkeeping, cross-section invoicing and expense management are the regular kinds of tasks RPA developers envisioned in automation. In AR/AP, for example, bots can provide audit trails and strengthen supplier relations with faster payment. RPA systems can be programmed to calculate tax and transfer prices to billing procedures. Similar to the financial management departments, HR systems continuously monitor personnel on multiple levels and calculate benefits.
A seemingly obvious application of RPA, IT automation influences how employees address wider systems management. IT-specific processes may include support for technical problems, password resetting, and data backup. However, whenever a systems gateway like a password is changed, employees must be sure to configure any related bots in the value chain.
Across an enterprise, RPA is used to gather data and analytics in multiple department applications. Automatically generated reports on process efficiency, usage and costs can help employees make better decisions with accurate information. Nevertheless, with great power comes great responsibility. While it may be tempting to gather as much information as possible, companies must observe regulations regarding privacy and data compliance.
It is not uncommon for companies to take weeks deciding which processes must be automated with RPA. If a firm has the resources, it can create an RPA Centre of Excellence (CoE) that selects software, designs implementation and creates necessary risk management procedures. A decision table like this from Work Fusion illustrates the RPA process selection:
People first, RPA processes second
While a human-RPA strategic partnership is ideal, automation is often used as a reason to eliminate labor. Admittedly, RPA can reduce future staffing costs by minimizing overall waste, but FTEs cannot be easily replaced with automated functions. Knowledgeable workers that intimately understand business processes, will organize rules and define corporate sequences central to AI. Moreover, many RPA strategies fail without that central human decision-making element.
CIOs, COOs, and related FTEs need to cooperate in a structured project to implement RPA.
Why invest organizational human capital in a couple of bots? It’s estimated that RPA systems can yield an ROI of between 30 and 200% in the first 12 months when applied effectively.
Regardless of a company’s size, industry or software exposure, RPA tools add value by increased accuracy, speed and flexibility. Though bots imitate human activity, they don’t respond to minor changes in UI or data like humans can.
Without proper insight and application, companies might miss the true potential of RPA as a tool designed to alleviate negative stress for employees. The automation of low-value tasks relieves workers of time-consuming housekeeping duties so they can focus on higher value work with clients. When businesses choose which processes to automate with RPA, it’s vital that talent management is balanced with AI.
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