Think about that one thing you do all of the time — copy number information to a report, sort files, etc. And input customer information. It is boring and redundant, and you know there has got to be a better way. Wouldn’t it be great to give this job to an automated digital assistant that does it for you perfectly every time?
This is the main promise of Robotic Process Automation (RPA). The “robots” in RPA are not physical machines from the manufacturing plant floor; these are software robots living on your computer. These digital employees are programs you train to use your applications in the same way a human worker would by clicking, typing, and moving around on screens.
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When an intern starts their job, the first thing you would typically do is provide them with a step-by-step guide on how to complete a task. “First, open up your spreadsheet. Second, copy down the customer’s name. Third, open up our sales application, and input the customer’s name into this field.” A software bot learns in exactly the same way. Every single time, the bot replicates screen actions and keystrokes on the computer’s user interface.
Ultimately, you will be able to walk away from mundane, repetitive tasks and dedicate your time to solving more complex problems, talking to customers, and other tasks. A traditional bot is nothing more than a follower, and therefore cannot think. We refer to this form of automation as rule-based — as long as the bot is instructed to follow a set of specific rules or steps, it will only do so. For instance, if you tell it to copy data from “column C,” it will always copy from column C and will never deviate from this instruction. The bot does not use judgment to decide which course of action to take.
Summary
The article explains that RPA (robotic process automation) utilizes “digital robots” — software applications that are programmed to mimic how we interact with computer systems on a daily basis (i.e., by clicking, typing, etc.) to move information from one system to another as well as complete repetitive forms and processes.
The article further divides automation into two categories: Attended (a bot is activated or triggered by an employee to assist in completing a task in real-time — for example, a contact center agent would receive assistance from a bot to locate a customer’s data); Unattended (bots perform tasks independently and on pre-determined schedules — for example, each night, the company’s bots will perform the accounts payable processing).
The article shows how combining automation and AI yields intelligent automation. Examples of these types of technologies include Optical Character Recognition (OCR), which allows digital robots to scan documents and use the information contained within them; Natural Language Processing (NLP), which allows digital robots to understand the language and intentions behind written communication; and, therefore, process unstructured data (i.e., an email or PDF receipt). Digital robots are no longer restricted by rigid rules to complete a particular task.
As for how the article is demonstrating automation in the workplace, it uses three main areas of application – Human Resources onboarding, Accounts Payable, and Customer Service Copilot to show how these applications are used to build multi-step workflows across different departments and applications.
The article portrays the ‘digital workforce’ as a group of digital robots working together, with the primary goal of enabling humans to interact directly with customers, improve processes, and handle exceptions, rather than spending their time on repetitive tasks. While the article states that automation will replace some jobs, it also states that it will lead to job creation.
Robotic Process Automation (RPA): Digital robots automate repetitive computer tasks quickly and accurately
Robotic Process Automation (RPA) is a technology that uses “Digital Robots” (bots) to automatically perform large volumes of repetitive, rule-based tasks on computers. The bots mimic the keystroke, mouse-click, copy/paste, etc., actions that a user performs to interact with a variety of online applications, such as web applications, spreadsheets, email, portals, and legacy systems.
In most cases, Robotic Process Automation does not require modifications to the original applications. While traditional automation typically operates at the application level, RPA operates at the user interface level. Therefore, it enables the integration of processes that span multiple systems, departments, and other areas.
Robotic Process Automation typically helps automate many routine business processes, such as:
Data Entry
Reporting
Onboarding Customers
Order Updates
Account Reconciliations
Invoice Processing
Help Desk, CRM & ERP System Data Transfers
Robotic Process Automation (RPA) bots can perform the following functions, including logging into an application or database, extracting data from the database, determining whether the data matches your established business rule set, completing electronic form fields, generating electronic documents, and sending confirmation emails, etc., etc., 24/7 at any scale.
Automation offers speed, accuracy and reliability. In automated processes, there is no human error during repeated steps, saving processing time and allowing staff to devote their efforts to customer service, exception management, and improving business processes.
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Artificial Intelligence (AI) and Robots can combine to make Robotic Process Automation (RPA) better than ever. It has been able to perform tasks such as document extraction, email categorization, and workflow direction based on predicted intent, while still providing an organized and traceable workflow.
Stability and good governance are necessary for success. For RPA to be successful, an organization first needs to identify and select stable, high-volume processes and document each process thoroughly (including exception handling).
Additionally, RPA requires teams to implement access controls, audit trails, and real-time monitoring to ensure that robot use is secure and traceable. The results of using Robotic Process Automation (RPA) should be measured (e.g., time savings, reduced errors, increased compliance) to determine the next set of processes to automate.
To summarize, Robotic Process Automation (RPA) is a simple method for creating a virtual workforce that performs precise, computer-based tasks repeatedly, allowing organizations to operate faster and freeing up capacity to focus on meaningful, people-based work.
The Two Flavors of Digital Helpers: Your On-Demand Tool vs. The Night-Shift Worker
While there are several types of “helper” bots in the real world (each tasked with a specific function), we’ve defined two basic uses for software bots. One could consider each of these examples as a digital representation of calling a “helper bot” for a particular task, or a “helper bot” that performs a larger, multi-step job during off-hours. Which example of the two you choose to implement depends upon the nature of the job.
The first flavor of the helper-bot is Attended Automation. This type of helper-bot sits on your computer, awaiting instructions as to what to perform. Generally, this is accomplished by clicking a button. For example, a customer service representative on a phone call would click a button to instruct an attended automation bot to retrieve the relevant customer information from three separate systems.
At one end of the range are automated bots, which work like other employees and can help you complete a task by collaborating with you. While automation bots run on a centralized server like all automation bots, they can be started by you (or anyone else), typically via scheduling (e.g., hourly or nightly at midnight).
Although automation bots operate independently of humans, once activated, they perform a single business process from start to finish without any human interaction. An example of this is a bot running after hours to process thousands of invoices, generate a summary report, and send it via e-mail to the finance team before the team arrives at the office in the morning.
Therefore, the choice ultimately boils down to whether you want the bot to assist you so you can get to your goals faster (like a Copilot), or if you want the bot to run independently in the background and perform tasks for you so you don’t have to spend time doing the same thing over and over again (like a Night-Shift Worker).
- An Attended Bot is an independent copilot you start to help you with the task(s) you are currently working on.
- An Unattended Bot is an independent worker that runs in the background according to its defined schedule. Whether a bot is assisting you or performing a task on your behalf, both the attended and unattended bots operate according to the same style of rigid rules (predefined). As we have previously stated, however, there are many times when a task does not fit this operational style, necessitating a higher level of intelligence to enable automation.
Attended vs Unattended RPA
| Feature | Attended RPA | Unattended RPA |
|---|---|---|
| Trigger | Human-initiated | Runs automatically |
| Use Case | Customer support tasks | Batch processing |
| Availability | Works with the employee | 24/7 operation |
| Complexity | Lower | Higher |
| Example | Filing forms during calls | Overnight data processing |
Insight: Attended bots assist humans, while unattended bots replace repetitive back-office work.
Source:
- UiPath RPA Guide
https://www.uipath.com - Automation Anywhere Resources
https://www.automationanywhere.com
Workflow Automation: Automating repetitive workflows for faster business operations
Workflow Automation enables companies to build and run repeatable tasks by creating automated process steps, eliminating the need to manually review each step. Email, Spreadsheets, “Don’t forget to,” and hand-offs are all replaced with Workflow Automation, passing the task to the right resources (individuals, teams, systems), getting approvals as needed, sending notifications as needed, and tracking every action taken in the workflow so there is complete visibility and accountability.
The main concept of Workflow Automation is to provide a standard way to take a piece of work from start to finish. Some examples of how Workflow Automation can be used include: Approving Purchases, Onboarding Employees, Escalating Customer Service Issues, Reviewing Contracts, and Following Up on Leads Generated From Marketing.
Workflow Automation processes should be designed with sufficient detail so that when a process is executed, the process can clearly identify which inputs are expected, how those inputs will drive decisions, the person responsible for the process, the length of time the process will take to execute, and the sequence of events to follow if an error occurs during the execution of the process. A well-defined Workflow Automation process will reduce the time team members spend coordinating tasks, freeing up additional time to create deliverables.
Workflow Automation processes have also proven to reduce cycle times and rework. In addition, Workflow Automation improves consistency across departments and geographically dispersed locations.
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Workflow Automation can integrate with other automation tools. For instance, Robotic Process Automation can automate all repetitive tasks that require interaction at the user interface level, such as transferring data between applications, updating legacy systems, or retrieving information from web-based portals.
Once Workflow Automation defines the necessary steps and manages the overall workflow using Robotic Process Automation to execute on-screen operations, it will enable an organization to achieve end-to-end automation in a logical and achievable manner.
Workflow Automation is foundational to Continuous Improvement, assists in quickly identifying Bottlenecks, provides Metrics to measure success, and generates Compliance Documentation to validate operational efficiency. In addition, Workflow Automation may enable Robotic Process Automation (RPA), allowing organizations to automate processes without existing APIs. However, RPA must also be governed and audited to provide a singular view of the process.
The success of Workflow Automation depends on how well it fits your company’s Business Rules, who is assigned Strong Ownership, and what Measurable Goals can be set (e.g., time saved, faster turnaround, fewer errors, increased customer satisfaction). Security and Governance are two additional critical areas of consideration in Workflow Automation to ensure Automations remain Reliable as your company’s processes evolve through Role-Based Access, Change Control, and Monitoring.
Workflow Automation enables companies to advance their business operations by providing predictability, Traceability, and speed in repetitive workflows. When combined with Robotic Process Automation, Workflow Automation enables Teams to consistently Scale Routine Work, allowing them to focus on decisions, customer relationships, and higher-value improvements.
The most successful implementation of Workflow Automation is when you treat it as an Operating Model, not just a Tool, and apply Robotic Process Automation to achieve the highest reduction in Manual Effort.
Business Automation: Digital robots streamlining daily business operations
Business automation is the long-term use of technology to perform a variety of tasks with minimal human assistance. Using digital robots, automation through rules and using integrations; Business automation completes daily/weekly/monthly tasks that are routine (gathering data, validating data, updating systems, prompting approval, sending notifications), allowing your team members to focus on the coordination of repetitive work.
One of the main reasons for business automation is consistency. Business automation creates consistent processes. Processes completed consistently will lead to fewer errors and improved compliance. Service Level Management becomes much easier with consistency. Common examples of business automation include, but are not limited to, invoicing, checking order status, onboarding new employees, reconciling accounts, managing customer inquiries, and creating operational reports.
Also, automation allows for better transparency. Each step can be monitored, measured, and improved. Robotic Process Automation is a key component of business automation. It can be very useful if the task you are trying to automate requires action on both sides of a multi-application platform.
The use of Robotic process automation in conjunction with other automation initiatives enables companies to create end-to-end workflow automation that spans legacy systems, web portals, and desktop applications without the need for application programming interfaces (APIs), which would normally be required for these systems to interact.
There are two main benefits of using Business Automation and implementing automation: Speed/Capacity. Activities that previously took hours to complete manually via email and spreadsheets can now be accomplished in minutes, 24 hours a day.
In addition, Robotic process automation has the potential to eliminate human error in high-volume activities while also creating a permanent audit trail of all activities. Business Automation will provide your staff members the capability to manage exceptions, talk to customers, analyze data, and develop new processes – all of which require a combination of analysis and creativity.
Business automation is effective when it focuses on repetitive, rule-based processes that are relatively stable and frequent. Before you implement robotic process automation, you should also have established metrics to measure its success, defined potential exceptions, and created appropriate governance (access control, monitoring, and change management). Once you have identified the processes in your organization that can be automated through robotic process automation, business automation will then allow you to automate the approval, subsequent action, and measurement of results of those processes.
When used together, business automation and robotic process automation provide an organization with a scalable digital workforce that automates daily operations, improving the speed and consistency of services delivered to customers.
Automation Software: Software platforms controlling automated digital processes
Automation Software is generally considered to include all the tools companies use to design, implement, and administer company-wide processes. In order to allow for the elimination of the manual administration of business processes, automation software allows you to draw out your business processes by way of a workflow diagram, document the rules associated with each workflow step, connect various business systems together, start up specific business processes automatically, and monitor those business processes’ efficiency and effectiveness through a single interface.
Using automation software will allow your organization to streamline how employees complete common business functions, making repetitive work easier and reducing errors on those tasks.
The majority of automation software solutions offer modules for creating, configuring, and deploying automated business processes, typically represented as graphical workflow designers, integration or connection tools, scheduling tools, role-based access control tools, audit trail tools, and reporting dashboard tools.
With these modules, organizations can automate business processes, such as approval requests, data synchronization, ticket routing, report generation, and customer notifications, using workflow diagrams, rule engines, integrations or connectors, and dashboards. A large number of quality automation software solutions also provide some level of exception management: if an exception occurs (i.e., when something does not occur as planned), the software solution notifies a person, so the process does not continue and ultimately fail.
If business processes require interacting with user interfaces (for example, clicking, entering data, or copying data from one system to another), robotic process automation may be a key component of the automation software solution.
Automation software that simulates user interactions on a computer allows companies to automate processes with legacy systems or applications that lack APIs. Organizations can use both automation software, which orchestrates the entire process, and robotic process automation (which performs screen-level action) to automate complex processes across multiple business applications.
A major driver for companies investing in automation software is:
1. Central monitoring (ability to see what is being run, when an application fails, etc.)
2. Versioning and change management (to prevent damaging critical processes by making changes)
3. Security controls (define who has access to create/edit workflows/bots, etc.)
4. Access to data
5. Versions of automation software and robotic process automation software provide audit trails to assist in demonstrating compliance and accountability in regulated environments.
When selecting the most suitable automation software, there are several steps you can take. The first step is to determine your specific use cases and environment. If you require extensive heavy UI automation and robotic process automation, bot management capabilities will be key factors. However, if you need cross-functional teams to collaborate on workflows, look for automation software that offers robust orchestration, approval, and integration capabilities. Regardless of your requirements, automation software should also be easy to support/maintain, measurable, and scalable as processes change.
How Do Software Robots Actually “Read” and “Learn”?
What steps do bots need to follow from seeing a document to fully understanding it? For example, scanning an invoice on my computer creates an unreadable image. The image is simply an image; therefore, it cannot be interpreted by the bot. First, the bot must be able to convert pixels into readable text for interpretation.
The transformation of pixels into readable text is completed by Optical Character Recognition (OCR). The purpose of OCR is to function similarly to a digital magnifying glass – although it will enlarge images of text (such as enlarging a picture of a business card or a restaurant menu), it will also convert those images of text into actual text that the bot can now read.
After the bot can read the text, it must still be able to understand it. In other words, if there are several references to an “amount due”, “grand total”, and “balance” in an invoice, how does the bot know that they are all referencing the same information? That is where Natural Language Processing (NLP) comes into play: a branch of artificial intelligence that enables computers to interpret human language as humans do.
Therefore, when the bot uses both OCR and NLP together, it can “learn” from the thousands of examples that it has previously used. It can look at many invoices with OCR to read the text and then NLP to recognize the patterns – such as the fact that the word “total” or “due balance” is usually followed by the total amount due. As a result of this learning process, the bot can successfully read and interpret documents it has never seen before.
How RPA Works – Step-by-Step
| Step | What Happens | Technology Used |
|---|---|---|
| Data Capture | Bot reads screen or documents | OCR/APIs |
| Rule Processing | Applies logic rules | RPA Scripts |
| Action Execution | Performs task (click, type) | Automation Engine |
| Learning (Advaced) | Improves over time | AI/ML |
Example: An RPA bot extracts invoice data, validates it, and enters it into accounting software.
Source:
- Blue Prism RPA Overview
https://www.blueprism.com - IBM Automation Docs
https://www.ibm.com
From Strict Follower to Smart Thinker: What Makes Automation “Intelligent”?
A standard bot can only read and copy-paste from a specific line of code. Therefore, it can never think on its own and therefore can never adapt to any change from the original line of code.
This is similar to a chef who is only allowed to follow recipes exactly. He can never alter the recipe to accommodate different types of ovens or flour. It is here where RPA and AI come together to create IA. IA will allow your bot to “think” like a seasoned chef. The chef will know the final product he wants (to bake a cake). In addition, he can adjust his baking to account for different ovens and types of flour. An intelligent bot understands that its final product is to “find the total”, not simply to “pull the number out of cell F5”.
Additionally, we need an intelligent bot to help us process the unstructured data used in most of our jobs. Examples of unstructured data include emails and attachments, scanned receipts, and contract clauses stored in PDF files. Unlike structured data (which fits into a table format, such as a spreadsheet), an intelligent bot can be trained to locate and interpret unstructured data regardless of its format.
The ability for a bot to “understand” and apply meaning to information (structured or unstructured) is what allows automation to move past the basic, repetitive nature of task-based bots. This allows digital workers to accomplish more complex tasks that require interpretation and judgment. In addition, this will allow humans to focus their time on tasks that require a human touch. So, how are bots able to understand and apply meaning to all of this information? Training with examples is the answer.
Intelligent Automation: AI-powered systems improving decision-making and efficiency
With Intelligent Automation, organizations combine automation with Artificial Intelligence (AI), to get better decision-making support and more efficiently run their businesses. Basic Automation is just a pre-defined set of rules for an automated system to follow. In contrast, Intelligent Automation can analyze the data it processes, identify patterns, and make adjustments based on the organization’s needs at that time. This allows organizations to complete the same work faster while providing more accurate, consistent results.
Many Intelligent Automation Solutions have workflow, analytics, and Machine Learning capabilities. They can also be used to read unstructured data (Emails, PDFs, chat messages, etc.) and extract the specific information they need. Once the information has been extracted from the data, Intelligent Automation can classify the request and route the work to the appropriate place. Also, Intelligent Automation can recommend next steps, notify if something seems off, and even prioritize work based on the level of risk or opportunity.
This means that companies can automate manual processes using intelligent systems that handle large, complex tasks without requiring people to constantly monitor them.
In most cases, Robotic Process Automation (RPA) will be performing the Execution role in Intelligent Automation. RPA automates repetitive, screen-based tasks that require access to multiple systems and applications (including Legacy Systems). Examples of things RPA can do include logging in to systems, copying data between applications, completing forms, generating confirmations, and more.
Although, Intelligent Automation uses Artificial Intelligence (AI), to determine which subsequent process steps are needed based upon data received from the inputted data; subsequently, Robotic process automation will perform these subsequent actions at multiple tools necessary to complete each task. In general, Intelligent Automation and RPA can be used together to automate end-to-end processes that involve both judgment and routine tasks.
Examples of common applications of intelligent automation include customer service triage, invoicing/claim processing, fraud assistance, HR onboarding, compliance reviews, and exception identification/flagging for supply chain management.
The intelligent automation component of the system will identify, verify, and flag anomalies in incoming request(s). Robotic process automation will then complete the majority of the standard processes associated with each transaction. As a result, it reduces cycle times, increases the accuracy of information processed, and allows employees to work on higher-value exceptions and interact directly with customers.
An organization will need a well-defined process, high-quality data, and effective governance to successfully implement intelligent automation. Organizations will also need to monitor AI model performance to detect performance drift or bias. Organizations will also need an audit trail and human-in-the-loop controls for sensitive decision-making within an automated system. Finally, organizations will need to maintain the Robotic process automation component to continue addressing user interface and system changes.
Intelligent automation is a practical approach to implementing scalable, smart operations. The combination of AI-based understanding and Robotic process automation-based execution can enable organizations to accelerate operational completion, reduce error rates, and improve decision-making in their day-to-day workflows.
RPA Solutions: RPA solutions reduce manual data entry errors
In addition to reducing the amount of time it takes to complete tasks, RPA Solutions also reduce errors caused by repetitive manual entry. Employees spend a lot of time copying/pasting the same information over and over again from one spreadsheet to another, from one email to another, from one website portal to another, from one internal application to another.
The types of errors employees make when entering the same information in multiple places include, but are not limited to, incorrectly entered numbers, missing required fields, and duplicate records. These errors delay both customers’ and businesses’ time, and can potentially create regulatory compliance issues. Robotic Process Automation Solutions use “bots” (software programs) to automate repetitive tasks.
Typically, the most common type of Robotic Process Automation Solution utilizes Robotic Process Automation (RPA) to perform the same functions a user performs by interacting with the User Interface.
Robotic Process Automation “bots” can log in, retrieve data from a single source, compare it to predefined business rules, and populate it into another system. Because Robotic Process Automation solutions utilize predefined logic, they can ensure proper field formatting, require mandatory fields to be populated, and obtain approvals prior to submitting a transaction.
Robotic Process Automation Solutions are most commonly used for high-volume transactions, including, but not limited to, processing invoices, updating purchase orders, onboarding new customers, processing claims, updating inventory levels, and reconciliations.
A possible way an Robotic Process Automation solution bot could function is to first have the bot extract all relevant information from an invoice, next have the bot compare the extracted information to the purchase order to verify there were no discrepancies, and finally, once the invoice was verified to be accurate, have the bot enter the correct invoice into an Enterprise Resource Planning (ERP).
To increase the reliability of RPA Solutions, logging, exception management, and continuous monitoring must be implemented. If the input data is incomplete or contains inconsistencies, the bot should cease operation and escalate the case to a user for further examination rather than making an educated guess and proceeding.
The audit trail enables users to see when and who entered information into the system and helps teams locate the root cause of problems in RPA Solutions. Audit Trails are also an important part of the long-term process analytics in Robotic Process Automation Solutions. Over time, Robotic Process Automation Solution Analytics can help determine where errors originated in upstream processes, allowing organizations to enhance both the process itself and the data-entry portion.
Another important element to consider for RPA Solutions is Governance. For example, the automation should run with limited System Access, use a Secure Credential Store, and implement Change Control to prevent unauthorized modifications to the application that could create new Error Pathways.
Regardless of whether it is due to changes in the Screens, Forms, or Validation Rules, testing will always be required.
In summary, RPA Solutions provide a feasible method to reduce manual Data Entry Errors while increasing speed and consistency. RPA Solutions automate repetitive tasks through Robotic Process Automation (RPA), enabling Organizations to expand Operations, Increase Data Quality, and allow employees to transition from mundane Data Entry to Exception Resolution and Customer Service.
RPA Business Impact Statistics
| Metric | Impact with RPA |
|---|---|
| Cost Reduction | 30-60% |
| Process Speed | Up to 10x faster |
| Error Reduction | Near 0% |
| ROI Timeline | 6-12 months |
| Productiivity | +40% |
Key Insight: RPA delivers fast ROI with high cost and time savings.
Source:
- Deloitte RPA Survey
https://www2.deloitte.com - McKinsey Automation Report
https://www.mckinsey.com
Real-World Digital Workers in Action: 3 Surprising Examples
Now that you’ve got an understanding of how these advanced intelligent robots can read and comprehend data, where are they used today? Wherever you see a business process with a series of predictable action steps and digital documentation.
Intelligent Robots will be able to carry out many different workflows in one step, from beginning to end. Therefore, Intelligent Robots will serve as specialized digital employees, facilitating seamless communication across departments and systems.
A classic example of a multi-departmental workflow is the hiring of a new employee. Traditionally, the hiring process for a new employee was laborious for the Human Resources (HR), Information Technology (IT), and Finance Departments. Today, a “bot” or a robot focused on HR related onboarding processes can now complete all the tasks in the workflow once a hiring manager completes a digital form.
Upon completion of the hiring manager’s digital form, the Bot will:
• Create an automatic User Account and email address for the newly hired employee within the IT System.
• Automatically enroll the new employee in the company’s Payroll and Benefits platform.
• Send an automated Welcome Email to the new employee containing their start date and first day guide.
Similarly, a bot can assist other departments. An example is finance. A bot can act as an accounts payable assistant. It will receive invoices via email. Then it will read those invoices to determine the invoice total and the invoice due date. Next, it will match the invoice to a previously approved purchase order. Finally, the bot will indicate the invoice is ready for payment.
Customer service is another area where a bot can be “the copilot” to a human agent. When a call is placed to customer service, a bot can immediately provide a full historical record of all orders from three separate systems.
In both examples, the bot is not just replacing a multi-hour process of coordinating many humans. Bots not only eliminate manual data transfer but also switch between applications. But most importantly, bots eliminate the potential for costly human error.
Worldwide RPA Use Cases
| Industry | Task Automated | Benefit |
|---|---|---|
| Banking | Loan Processing | Faster approvals |
| Healthcare | Patient data entry | Reduced errors |
| Retail | Order processing | Improved speed |
| HR | Payroll processing | Time savings |
| Insurance | Claims handing | Better accuracy |
Example: Banks use RPA to process thousands of loan applications daily without manual input.
Source:
- UiPath Case Studies
https://www.uipath.com - Capgemini Automation Report
https://www.capgemini.com
Digital Workforce: Virtual employees performing repetitive computer tasks
Many organizations have started using automation technology to build their own digital workforce, consisting of software “bots” that perform repetitive tasks humans do, at a higher rate of speed and with greater accuracy. This technology is typically used to support high-volume, rules-based work such as data entry, updating systems, generating reports, verifying accounts, and providing basic back-office customer service to customers. The key is to implement the digital workforce effectively so that it supports your team members while they work and does not create additional manual workload for them.
Most of the time, digital workforce projects use Robotic Process Automation (RPA) to enable bots to mimic user actions, such as clicking, typing, and navigating across different applications. RPA has been very helpful when a process involves many different tools or uses legacy systems that are hard to integrate with. Once you have implemented RPA, your digital workforce can log in to portals, retrieve information, verify it, update database entries, and send notifications in a defined sequence of steps.
Digital workforces are usually governed from a single, central location. They may run according to a predetermined schedule, or respond to events such as receiving an email, submitting a form, or generating a ticket. There are several types of dashboards used to monitor digital workforces. Some of these dashboards show bot health, queue item volume, and completion rates. Log files are also used as an audit trail to document all of the actions taken by the bots. Maintaining governance over your digital workforce is crucial to ensure its security, compliance, and reliability, especially as your company’s business processes continue to evolve.
There are three major benefits to building a digital workforce for your organization: increased speed, rapid growth, and better quality of your organization’s operations. A digital workforce allows you to run applications 24/7, significantly reduces the time required to complete both internal and external requests, and minimizes the risk of manual errors when performing repetitive tasks, such as copying and pasting.
A Digital Workforce allows your employees to focus on the decision-making aspects of their jobs (e.g., when to escalate a complaint, handle exceptions, etc.) and can automate routine, repeatable tasks (the “path”). The Digital Workforce should then have human oversight in place to address those exceptions or edge cases as needed.
To successfully adopt a digital workforce initially, you need to identify which business processes are best suited for automation (processes that are stable, repeatable, and measurable).
To do this, teams will need to develop and implement a standard operating procedure (SOP), define what constitutes an exception, and assign a designated owner to each SOP. Bots created using Robotic Process Automation require continuous change management and testing whenever a screen, field, or rule changes, to continue functioning accurately.
A Digital Workforce is simply another way to automate mundane computer work. Using Robotic Process Automation, a Digital Workforce enables the scalable, consistent execution of work, increases productivity, and allows the human workforce to focus on higher-value work.
The True Transformation: Why a “Digital Workforce” is More Than Just Bots
One example of this was demonstrated through a single robot. Yet the true power of Robotic Process Automation does not lie in a single bot. Rather, the strength lies in a group of multiple connected bots working together as a “digital workforce”. A “digital workforce” is simply a network of software robots working together to automate all tasks involved in a business process.
This means the entire workflow is automated. Think of a physical office where each employee specializes in a different area of the company. Once that employee completes their part of the process, they will send it to another employee who specializes in the next part. The digital workforce is similar to this. For example, the “on-boarding bot” will complete the set-up of a new employee’s account by sending a notification to the “IT bot”, which will then order and ship a new laptop to the employee. As long as the bots are programmed to link to each other, there will be no need for a human to intervene to complete the workflow.
This is the future vision of Robotic Process Automation (RPA). RPA is more than just about increasing efficiency; it also changes how employees spend their time. In RPA environments, humans will no longer be limited to just being “process followers”. The repetitive, predictable, and sequential nature of robotic activity will allow employees to move into the role of “process overseer”.
In Robotic Process Automation environments, employees will spend less time on mundane data entry and more time addressing process exceptions, solving complex customer issues, and improving the systems and processes within which the bots operate.
While this new collaborative model has the potential to revolutionize how we think about productivity, it will undoubtedly create challenges for employee roles. With so many traditional jobs being replaced or automated by robots, you may be wondering what will happen to your job.
Human vs Digital Workforce
| Metric | Human Workforce | Digital Workforce (RPA) |
|---|---|---|
| Working Hours | Limited | 24/7 |
| Error Rate | Moderate | Very low |
| Speed | Moderate | Very fast |
| Cost | Ongoing salaries | One-time + maintenance |
| Scalability | Slow | Instant |
Insight: RPA doesn’t replace humans – it augments productivity and removes repetitive work.
Source:
- PwC Workforce Automation Study
https://www.pwc.com - Gartner RPA Insights
https://www.gartner.com
So, Will a Robot Take My Job? The Real Future of Work with a Digital Teammate
There is always that number one question when people talk about automation. Yes, robots will automate many of the processes we have today, but the history of technological advancements has shown us that, most often, technology changes the nature of jobs rather than eliminating them completely. A software bot should be viewed as an augmentation of your skills, rather than a replacement. In the same way, a calculator did not eliminate the need for mathematicians; it allowed them to perform their duties more efficiently by taking away some of the mundane arithmetic.
Similarly, Robotic Process Automation can free up your time from repetitive, mundane digital tasks so you can concentrate on what humans are good at – negotiating a difficult customer issue, coming up with new product ideas, or solving a unique problem with no instructional guide. As the predictability of your tasks are being taken care of by bots, your value goes from completing the process to how you improve it.
The future of robotic process automation (RPA) is in creating a partnership of man and machine. By learning to collaborate with a digital partner, you create both opportunities and challenges of scale. But the goal is to empower, not replace. This partnership takes your role as an individual who completes tasks and transforms you into an individual who creates and controls the workflow – placing you as the strategic leader of your own digital assistant.
Your Digital Helper is Ready. What Will You Teach It First?
The Intelligent Automation Platform is evolving to include intelligent assistants beyond the digital helper of yesterday, who simulated your keystrokes or mouse clicks. The idea that all Intelligent Automation Platforms are collections of “bots” operating behind the scenes (unseen) and doing different things is changing how we think and do our jobs.
As a direct result of this trend, Intelligent Automation Platforms are beginning to team up with these digital helpers to identify and create new career paths by removing repetitive, time-consuming data-entry work that prevents employees from being creative and analytical problem solvers rather than just data-entry clerks. They are not replacing people – they are enabling them to grow and develop their skills.
So, if there is something you do every week that you find boring, wouldn’t it be great to have a digital assistant take care of it? That’s the future of business.
Conclusion
Robotic Process Automation was originally limited to simple copy-and-paste functions but has developed into an incredibly effective tool for companies to create broader digital transformation. RPA does an exceptional job of automating repetitive work with well-defined rules — since the bot will reliably click, type, and navigate the same applications your team relies on every day — resulting in fewer delays and fewer mistakes than when performing a task manually.
Companies have options based on their specific needs and workflow requirements. They can use either Attended Bots (to support employees in real time) or Unattended Bots (to run fully automated processes in the background).
Combining Robotic Process Automation with AI and using this combination as Intelligent Automation allows automation to perform OCR (Optical Character Recognition) and interpret language — allowing automation to handle many more real-world variations such as messiness and judgment — thus increasing the variety of tasks that can be completed by automation beyond mere manual tasks to tasks that require judgment, routing, and exception handling.
By utilizing these capabilities, individual bots develop into a full-fledged digital workforce of specialized teammates, working together in an organized way, handing off work from one system to another department, etc.
Therefore, the ultimate objective is not to replace employees. The ultimate goal is to remove mundane tasks that take away from employees’ time and energy, so they may focus on customer service, problem-solving, and ongoing process improvements.
FAQs
- What is Robotic Process Automation (RPA)?
Robotic Process Automation (RPA) uses software “bots” to mimic human activities in digital environments, such as clicking, typing, copying data, and moving data from application to application, to complete similar, rules-based, repetitive tasks faster and more consistently. - What’s the difference between attended and unattended RPA?
There are two types of bots that can be used with RPA. Attended bots run on the user’s device and activate when the user clicks a button or performs an action that triggers them to gather information. Unattended bots run autonomously without user intervention in a server-based environment. Bots can be scheduled to run at set times to complete end-to-end processes (e.g., overnight invoice processing). - What makes automation “intelligent”?
Automation becomes “smart” when AI is integrated into RPA, enabling it to manage unstructured data and make intelligent routing decisions. The use of technologies such as Optical Character Recognition (OCR) enables the bot to read scanned images, and Natural Language Processing (NLP) enables it to understand language in emails, PDFs, and other documents. - Which tasks are best for RPA?
The most effective way to implement RPA is on high-volume, repetitive tasks that have defined rules and procedures and therefore include: data entry, report creation, invoice processing, steps of onboarding, and updates of data within CRM/ERP/helpdesk system(s), especially if multiple applications are required to complete the task. - Will RPA replace jobs?
Typically, RPA is replacing tasks, not jobs. When using RPA to automate routine tasks, employees can focus on exceptions, customer interactions, analysis, and process improvements, and often shift them to more value-added responsibilities.
