RPA Trends In Healthcare

RPA Trends In Healthcare

The health care industry has been progressing and adapting to new technologies every day. Robotic Process Automation (RPA) is one of the newest developments in this field. RPA essentially uses software put on top of existing workflows instead of human workers. RPA does not completely eliminate costs like other technological advancements such as artificial intelligence (AI). But it still can help improve efficiency within healthcare organizations by enhancing their workflow processes through faster processing times and more accurate data input. The benefits are focused patient care and less time worrying about administrative tasks that distract from patient service areas.

Robotic Process Automation (RPA) is utilizing software technologies to perform routine tasks. RPA is a related technology to Artificial Intelligence (AI) but not the same. RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments. AI does more of the thinking type of human work. RPA improves workflow by automating common processes. It performs tasks like data entry and filing, which do not require higher level thinking or decision-making skills to execute the job properly.

Appointment Scheduling

Automation in healthcare will make life easier for doctors and patients. To automate the collection of data, RPA bots can automatically create appointments when a doctor has time available. The system would also update patient records with this appointment information to ensure they are correct across all systems used by each practice or clinic.

You can simplify the process using automation through robotics programming tools (RPTs). These tools allow you to complete tasks faster without any human error occurring. Many errors will be eliminated due primarily because they don’t need sleep like humans do. Automating these processes means that less manpower is needed. Automation reduces

operational costs significantly while offering greater accuracy in scheduling procedures within your medical office or clinic.

Account Settlement

Every day, if a healthcare provider receives X number of patients, the hospital staff is expected to manually prepare bills for all these patients. This can include doctor’s consultation fees and costs incurred by different patient categories such as wardrooms and test services.

Automation in healthcare can automate the billing process. Once programmed, this will allow for automated bills which align with services offered to customer and reduce errors –especially due to their accuracy. Less mistakes means less delays and financial loopholes.

RPA technology can automate routine processes like generating billings which enhances accuracy through less human error, along with reduced delays in payments.

Claims Management

Gathering insurance claims data, storing it in the system and processing it without errors is not so simple. For legacy systems or traditional workflows that fall short of maintaining compliance regulations, it can be difficult to remove errors from management workflow. Hence, technical support will need proper attention for better error-free execution and good compliance record keeping.

Here, intelligent automation can reduce errors and speed up the process. The bots automatically populate insurance claim fields with relevant regulatory laws based on each type of insurance claim document that is generated. Once the documents are prepared for filing claims, they may be submitted immediately by healthcare providers due to their error-free nature, which speeds up management processes overall.

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Artificial Intelligence Will Create More Jobs

Artificial Intelligence Will Create More Jobs

Why Artificial Intelligence Will Create More Jobs

The future of the workforce is changing, and companies are not sure what to do about it. Will humans be replaced by machines? Or can Artificial Intelligence (AI) help us work more quickly while being less costly than relying on people?

Here are some examples of the impact of AI on the workforce:

Automation Demands Creating New Skillsets

Currently, there are many jobs that rely heavily on automation, and these could potentially be replaced by AI-made machines. However, AI will create the development of new skillsets, which require human training to function properly. We can expect this trend to not only threaten unskilled laborers but also create different kinds of work for skilled professionals like engineers or doctors.

Chatbots are a great way to increase your customer service without cutting jobs. A good example is the chatbot on Facebook Messenger, which has been able to answer thousands of questions about restaurants and what they offer from people all over.

This will free people up to do more of the high value, relationship building services while deploying AI/chatbots in areas where they excel.

AI: Equally Disrupting And Enabling

The person whose role no longer includes a certain repetitive task now automated by AI may not necessarily lose their job. Rather, they’ll have new responsibilities that more broadly focus on human capabilities, cannot be delivered by robots.

Every worker who wishes to maintain his job will likely have to have continuous learning and learn new skills. Especially when AI takes on more of the work humans do.

Changing Scope Of Jobs

Experts believe the biggest challenge related to AI is the changing scope of human jobs, considering AI’s automation and autonomy. The potential effect of AI on jobs includes job losses, but also the development of new jobs requiring new AI-related skills.

Systems that learn in a supervised, top-down fashion based on training data cannot grow beyond the contents of their learning. They are limited to only being able to perform tasks given by what’s been previously programmed into them.

Not An All Or Nothing Scenario

The process of workplace evolution has always involved a transition period. AI is just another step in that history, and it will likely follow suit with other transitions such as the industrial revolution or IT automation. It has been suggested that instead of viewing AI as a threat to human jobs, it should be seen as “intelligence augmentation.”

An AI Skills Shortage

Technology is always changing, and recent development in AI could have major impacts on the way we work. Automation may result in certain jobs being lost, but it will create other posts that need filling too. This can cause a shortage in skilled labor in relation to AI technology.

AI Cannot Set Objectives

As good as AI systems are, they’re not going to set objectives. AI may cut the mundane out of many jobs, but for it to work effectively AI will need more people in new roles. Training, it seems, is the way to avoid AI-induced unemployment.

AI Predictive Maintenance

AI Predictive Maintenance

What Is AI Predictive Maintenance

Artificial Intelligence (AI) Predictive Maintenance is using advanced software technologies that employ AI and Machine learning (ML) to anticipate maintenance or repairs that will be needed. In AI preventive maintenance, AI analyzes systems to predict future malfunctions. AI is a broad topic that covers a wide variety of different uses and applications. One such application is AI in computer vision, where AI looks directly at the physical world as it appears through cameras attached. Manufacturers can use predictive maintenance techniques to implement safeguards that notify the right people when a piece of equipment needs to be inspected.

The concept of predictive maintenance was first introduced in the 1980s. This idea is simple: using data from previous operations to predict when a machine or system will fail and take preventative measures before an issue occurs. In the past, this data needed to be collected manually by assessing machinery during inspections. But now, newer technologies have made it possible for companies to use AI predictive maintenance models that analyze large amounts of data more efficiently than humans can on their own.

Importance Of AI Predictive Maintenance

Predictive maintenance can be thought of as a form of preventive maintenance. It is an alternative way to monitor the health and performance of equipment, components, or systems. If you cannot afford to have downtime for your equipment, then predictive maintenance is something that must be implemented in order to keep everything running smoothly without unexpected disruptions.

Predictive maintenance is like preventive maintenance but with an important difference. Both concern the scheduled upkeep of equipment. But preventive maintenance can only apply maintenance measures that are basic to any of the equipment according to its design. Predictive maintenance can discern the impending malfunction of the equipment based on actual feedback, historical usage, and conditions.

AI Predictive Maintenance Examples

Some people believe predictive maintenance is something that only big industries can take advantage of, but this isn’t the case. Every business, from a family-owned restaurant to a large multinational corporation, benefits from being able to predict when and where problems may occur. Some ways in which these types of businesses use predictive maintenance include:

· Manufacturers can implement safeguards in the equipment to notify people of needed inspections. Breakdowns can be anticipated by using such information as the historical data, the sounds of the equipment, and the electrical current.

· Supply chain personnel can use the information gained from the AI analytics to gauge how long equipment downtime can be expected and plan accordingly.

· Original Equipment Manufacturers can build models based on historical usage of their equipment from multiple customers and provide predictive maintenance service.

Conclusion

Many people mistakenly think that predictive maintenance means we will soon be living in a world where robots do all the work. What is actually happening, however, is that Artificial Intelligence (AI) and Machine Learning (ML) are being used to find patterns and anomalies in data so humans can take appropriate action before something breaks down. Using the smart technologies of AI and ML, advanced software can provide the predictive maintenance that saves time and money by reducing unplanned downtime for machines or equipment.

Measuring ROI for RPA

Measuring ROI for RPA

How can you measure the Return on Investment (ROI) for a project? This is a question that many people ask themselves when they are thinking about implementing process automation. There are several ways to go about measuring ROI, but there is one measurement that should be at the forefront of your mind: return on investment (ROI).

RPA is not a new technology. It’s been around for decades, but it’s only now that the benefits are being fully realized. The ROI of RPA can be difficult to measure at first, but there are some simple calculations you can do to determine how much return your investment will yield and what the best course of action should be next.

Robotic Process Automation (RPA) is utilizing software technologies to perform routine tasks. RPA is rule-based technology that produces repetitive work. It uses artificial intelligence (AI) technologies such as machine learning (ML) and natural language processing (NLP) to behave with human-like judgment during its tasks.

RPA is a related technology to Artificial Intelligence (AI) but not the same. RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments

There are many reasons to use Robotic Process Automation (RPA) in your company. The first is that RPA can help you cut costs by reducing the number of employees needed for certain tasks. The second reason is that it can improve productivity, which means you will need fewer workers to accomplish the same workload. The third reason is that it allows businesses to expand into new markets by streamlining processes and removing barriers. But how do you measure ROI?

Here are some key measuring principles:

Full-Time Equivalent

One way would be using Full Time Equivalents (FTEs). The definition of FTE is the number of working hours that represent one full-time employee during a fixed time period such as one month or one year. FTE is an important measure for your RPA return on investment. If you are thinking about implementing RPA, it is important to start by measuring ROI. The first step in the process of measuring ROI for RPA is to figure out what an FTE means for your company during a fixed time period –such as one month or one year. The next step is to determine how many hours an employee would have spent on tasks that can be automated through automation software like RPA. The third and final step in the process of measuring ROI for RPA is determining what percentage of manual work has been eliminated due to the implementation of automation software like RPA.

Hours-Back-To-Business

One might think that automation will result in human personnel being unnecessary in the workforce. That is not the case. The true ROI is how employees are freed up to concentrate on higher-value work instead of the mundane tasks that consume their time unproductively. Measurement of ROI for RPA is the hours gained to be put back into higher-value functions. When people are freed from routine processes, they can focus on more productive efforts.

Process Optimization & Lead Time

The start of a work process to the end is the process lead time. This typically requires wait time, which is not productive. RPA can eliminate wasted waiting and preparation time from the process. Some preparation can be done automatically around the clock or overnight to optimize lead time and workflow productivity.

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The Importance of Readability

The Importance of Readability

Readability means business content will make an impact. It is important to communicate in a language that others understand. When we don’t speak the same languages, it can make our intentions difficult to know. There is darkness surrounding everything written unless someone understands it. The same problem exists when the same language is spoken between two people but not in an understandable way.

It can be argued that if the federal government, or anyone, insisted on unclear, complex statements when communicating, then they are being dishonest. They are not being honorable in the sense of being transparent with their citizens. This does not encourage trust. Trust is fundamental in both leadership and a contractual relationship.

Every industry benefits from good readability. Improving readability results in improved cart completion rates. Citizen inquiries are reduced regarding the government’s communications, saving time and money.

Plain language has become increasingly influential in our society’s public policy. Laws are passed which require transparency and clear communication from all of those involved, giving it a wide-reaching impact on both local communities as well as throughout the world at large

Single Ideas Are Easily Grasped

Avoiding long sentences can help with readability. Why should you avoid long sentences? Shorter sentences promote successful communication. Most people cannot easily process sentences complicated with several ideas. People can retain a single idea more easily. Parts of a complex idea are more easily grasped when presented individually better than grouped in a longer sentence. The reader can then build up the simple ideas to the complex idea structure more successfully.

Instead, break up complex thoughts into easily expressed short sentence units that help you convey your main point. Readers are more likely to follow along with the information and find it easier on their brains as well.

Long sentences can be very difficult to understand. They often include lots of subordinate ideas and clauses which add complexity but don’t really help in absorbing the main point because there is too much going on at once.

Targeted Audience Is Successfully Reached

Readability formulas can help you target your audience and ensures they can understand your statements.

You want people who will be reading the text, so take these into account when creating messages for them!

In plain language, you can provide the same amount of value to your readers. By optimizing your text for Plain Language Writing (PLW) and clearing up any confusion about its use in communication with diverse groups; yours will be:

· Quicker read than traditional writing.

· Easier to understand because it makes difficult concepts more accessible by breaking down complex sentences into simple ones or using imagery where appropriate.

· Easier retention since less time is needed from the reader’s point view due to shorter sentence lengths.

Saves Time and Money

Improving your readability saves you time and money. You reduce the amount of work required to answer questions. This in turn helps cut down on wasted resources such as man hours spent getting answers because company text was not readable.

Google Favors User-Friendly Content

Google loves content that is user-friendly. Google ranks easily-found content higher in search results. Each new update from Google makes SEO more focused towards what people need.

Improved Bounce Rate

Readability has an impact on bounce rate. Users are goal-oriented and want to find information as quickly and efficiently as possible. Finding information can be difficult when scrolling through long blocks of text. Improving readability makes it easier on the eye. Then people do not give up trying or move onto another website to find their answer. The users will also feel better about themselves in general.

Conclusion

Readability is an important factor in producing quality content. It influences Google ranking, as well as accessibility and usability for both readers and search engines alike. Readability inspires trust with a company’s brand which can enhance its reputation among consumers.

The Content Analytics Platform (CAP), developed by Scion Analytics, can quickly analyze any document to check its readability, ensuring successful communication.

Benefits Of Process Analytics

Benefits Of Process Analytics

Process Analytics is a new analytical practice in business. It is a branch of Business Intelligence (BI). Process Analytics not only helps analyze how well your business operates but where it needs improvement. It utilizes the same analytics data as most other analytics. However, it looks at the analysis as data traces of business processes. 

It does this by arranging multiple records about one entity, such as an online order or an insurance claim, along with much information relevant to these records. This information is behind the records and discloses unique details, which are not normally obtained through other BI means.  

Process Analytics can uncover process hindrances or frictions and can help you understand what steps you should take to improve the process workflow. Many benefits are deriving from this kind of analytics: 

Immediate Knowledge 

When there is an important process error, you immediately learn about it right after the event rather than at a later report. You have ample time to correct it or fix a queue or check customer credit.

Event Location

In any IT system, searching is an important capability. Searching is usually done by looking for the attributes of an object. But with Process Analytics, you can see patterns that disclose where an event has occurred.

Negative Impact Information

Process Analytics can provide such information as what negative impact a process deviation has on the overall operation in terms of cost and time.

Individual Process Queues

You can monitor workflow operations and their related documents, events, or tickets, in their respective queues. You can see what is happening in each process queue, how long items are sitting in a queue, what employee misplaced something in what queue, etc.

Individual Process Costs

If you know the time a certain process takes, then you can calculate the related costs for that process and tie it to a specific business process or client.

Problem Detection

If there is a business problem such as multiple invoices for the same order, then Process Analytics will help detect the cause of the problem. Measuring the time that the parts of your process takes will help with this problem.

Visualized Workflows

The process deviations such as bottlenecks, delays, frictions, can be demonstrated and seen through the process workflows being displayed.

Error Exceptions Detected

Process Analytics can help detect the special events that can be costly. The errors that are repeated many times might not be detected and accounted for with ordinary reports that average the calculations. But they can be discovered with analysis of the operation.

Actual View of Process

Process Analytics gives you a reality check of your operations. You get an honest snapshot of how the actual processes are playing out as they are happening rather than how it is hoped to work. This helps you see what works and what needs improvement.

Focused Attention

Using the findings of Process Analytics, you can focus on whatsteps matter for smarter automation.   

Robotic Surgery Pros And Cons

Robotic Surgery Pros And Cons

What Is Robotic Surgery?

Prior to 2000, all surgeries in the medical community were done manually by a trained medical professional. Then the FDA approved the robotic surgery device known as the da Vinci Surgical System. Robotic surgery is performed by an advanced robotic device. This robotic tool is used like a scalpel or forceps in the surgeon’s hands, where the surgical procedure is done with a remote-control device. It is equipped with several smaller robotic hands that can rotate 360 degrees. It has three-dimensional (3D) cameras, which can view much more closely and in smaller areas. The surgeon will sit at the robot’s controls, guiding the robotic hands while watching through the 3D cameras.

Surgeons regard the use of the robots as enabling them to place themselves in much closer, smaller areas than what they can physically accomplish without the robots. The robots can perform precise procedures with minimal invasiveness. Their use is ideally suited for routine surgical procedures.

Pros Of Robotic Surgery

· More Precise Surgeries Surgical robots can perform smaller, less-invasive procedures. The smaller hands of the robot require smaller incisions.

· Less Trauma Because the robots can perform less-invasive procedures, there is less pain and faster recovery period.

· Less Human Errors The robot’s hands are free of human trembling. The surgeon’s anxiety does not transfer to his performance.

· More Accuracy Because the surgeon’s performance is not impacted by his own strain due to the robot’s precision, he can perform procedures with a higher accuracy. The robot software can compensate for slight movements allowing steady execution.

· Reduced Surgeon Fatigue Many surgical procedures demand long hours of standing on the surgical team’s feet to operate. This causes fatigue, which in turn can cause mistakes. But the robotic surgical system is directed by the surgeon while he sits comfortably at the controls. This reduces fatigue and the possible errors arising from it.

Cons Of Robotic Surgery

· Robotic Surgery is Expensive Significant costs are added to traditional surgeries when you add the experience of robotic surgery. There is an average of $3000 to $6000 above the price of ordinary surgeries when done robotically. Besides the high cost of installing a surgical robotic system itself, there are the additional costs of the training and the maintenance of the equipment.

· Procedural Latency The biggest challenge for robotic surgery is the problem of latency in the surgical operations. The delay between the command by the surgeon’s remote control and the time the task is executed is the latency. This delay is not a significant problem for routine operations involving no real urgency. But this delay can be critical when quick actions are required by the surgeon in some scenarios. If an accidental cut is made and causes unforeseen bleeding, then quick responsiveness is demanded.

Conclusion

The medical community still needs to weigh whether the advantages of robotic surgery outweighs the disadvantages and the expense. But it seems safe to say that it will always be one of the tools for surgical procedures in the modern world. In time, the right software technology and expertise can overcome the disadvantages. The value of microsurgeries being performed robotically with less cutting and trauma is undeniable.

RPA Vs. API Integration

RPA Vs. API Integration

What Is RPA?

Robotic Process Automation (RPA) is the automating of processes to replace redundant human labor. It is utilizing software technologies to perform routine tasks in a company. It uses bots to perform designated functions. RPA is a related technology to Artificial Intelligence (AI) but not the same.

RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments. AI does more of the thinking type of human work. RPA improves workflow by automating common processes. RPA is always improving, with the main advantage over past versions being the Graphical User Interface (GUI). The user experience is more intuitive and friendly.

Robotic Process Automation (RPA) is implemented on the front end of processes. It is a rules-based technology that produces repetitive work. It uses Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Natural Language Processing (NLP) to behave with human-like intelligence during its tasks.

What Is API?

Application Programming Interface (API) is a piece of software technology that interacts with other software technology. It works on the back end of a process as a tool that specifies ways software can interact with an application. It functions to acquire pieces of information and then to serve up those pieces of data for the larger software to act on.

API is software that interfaces with another program. An example is where a flight aggregator program listing airline flight schedules is updated. Various airline companies’ own flight APIs each update the flight aggregator with current data.

RPA Vs. API Integration Differences

· Robotic Process Automation (RPA) works on the front end of a company process. It provides automating of repetitive tasks. It streamlines a company workflow with tireless and accurate bots.

· Application Programming Interfaces (APIs) are deployed on the back end of a company process. It interfaces with the RPA software with individual data input.

· RPA is a surface-level application. It can be used to allow applications to talk to each other.

· API is a coded software integration. It allows applications to talk to each other.

· RPA is inexpensive to implement.

· APIs are expensive and time-consuming to develop.

· RPA runs in the foreground and can be modified easily.

· API runs in the background and are not modified easily.

· RPA is not scalable for a workflow transaction that is high-speed.

· RPA needs a higher degree of maintenance performed as the software requirements change with the business needs.

Conclusion

A key for any company’s growth is an investment in Robotic Process Automation (RPA). The significant value-add tools of Application Programming Interfaces (APIs) will also contribute to success, improvement of productivity, and the savings of time and money. RPA will streamline an organization’s routine tasks and will free up personnel for higher-value concerns. The tedious work can be effectively eliminated. APIs can help with fine-tuning the process of a workflow by providing important and current data updates and allowing applications to interface.

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Intelligent Automation Examples

Intelligent Automation Examples

Intelligent Automation (IA) is an advanced level of digital automation used by organizations to significantly improve their essential operations. IA software mimics human intelligence and decision-making. Ordinary IT automation digitally performs perfunctory, thoughtless operations but IA does decision-making and thoughtful tasks. IT automation, such as Robotic Process Automation (RPA), is rule-based technology that produces repetitive work. IA uses Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Natural Language Processing (NLP) to behave with human-like judgment during its tasks. Here are some key examples of using IA to excel the functioning of any organization:

Mortgage Cross-Selling

Banks that want to gain new mortgage customers can appeal to their own banking customers using IA. Large amounts of banking customer data can be harvested from their transactions. When significant activity clues are detected, such as larger checking or savings account deposits, it can mean a job change. This can trigger an awareness of the customer’s new financial status, marking him as a candidate for direct marketing efforts of the bank’s mortgage products, using the most effective advertising means based on their bank account profile.

Procure-To-Pay (P2P)

The process of procure-to-pay (P2P) is the sequence of actions involving requisitioning for a product or service, then receiving it, then paying for it, then accounting for it. This process integrates both the purchasing department with the accounts payable department. Traditionally, this process is full of manual, repetitive tasks, such as contractor selection and invoicing from many sources and systems. Using advanced software such as Robotic Process Automation (RPA) can streamline the sequence of disparate departmental tasks and interactions.

Employee Onboarding And Offboarding

Company’s need to hire employees and sometimes discharge them. These unavoidable events require tedious paperwork to be done. New employees must be onboarded with:

· profile forms filled

· paperwork completions

· training provided

· new tasks assignments

· the creation of computer accounts

· assigning security badges

Employee offboarding also consumes time and resources, such as:

· preparing exit paperwork

· final paycheck

· retrieving company property

IA software tools can ensure the simplified performance of the onboarding and offboarding tasks to be completed automatically and efficiently.

Quote-To-Cash Process

Organizations must maintain cash flow to survive. This is done by the company offering products or services for sale to potential customers. This is followed by giving quotes for consideration to customers. The process continues with fulfilling those orders, then billing the customers, then collecting payments for the goods or services that were provided. This sequence of actions is slow and expensive when done manually. Using advanced software tools enhanced with AI and ML can automate and streamline these tasks by digitally extracting invoice or contract documents.

Inventory Control

Companies that sell tangible products need to perform inventory control to keep up with sales and replenish supplies for new sales. This process traditionally demands extensive manual resources. Such labor-intensive tasks as creating work orders, producing invoices, and shipping the products are involved. These operations in turn demand complicated back-office work. By using IA solutions, inventory control can be streamlined by automating essential tasks of supply chain replenishment, order fulfillment, and shipping functions.

Enterprise Workflow Automation

Enterprise Workflow Automation

Enterprise workflow automation refers to automating a company’s routine business procedures that are normally done by human employees. It involves designing and implementing processes using software solutions so that these operations are automated.

Business workflows are the processes, or steps, of accomplishing work tasks that are based on pre-defined business rules. They are tasks done by employees involving data or files, which are shared between people or computer systems. Automating these operations with software is key to simplifying routine operations to be quick and cost-effective.

What Is Enterprise Workflow Automation?

Large corporations can have numerous business operations in place that involve many employees experiencing inefficient and frustrating procedures. When many employees encounter a process that is out of line, chaotic, or time-consuming, then the company culture as well as the company productivity is negatively impacted.

The software can automate many processes to help streamline operations and improve the culture and productivity. Process automation software or process workflow management software can improve the efficiency of operations. These can help with such things as quickly providing critical data or sending out email updates freeing employees to concentrate on functions requiring human judgment.

Enterprise Workflow Automation Benefits

Error Reduction

Workflow automation management software can be proactive about either preventing errors or quickly pinpointing them for resolution. These errors can be worked out and future occurrences prevented.

Better Connectivity

Employees need connectivity in the form of communication tools and software applications. Both the communication between people and their use of software applications should be streamlined for efficiency. Automation can run data from different application tools as workflows across the enterprise IT infrastructure.

Improved Productivity

When all workflows are automated, there is less time sending emails or updating critical information used by multiple applications. Employees can be automatically informed of approvals, track progress, and stay in the loop. Responses can be made within the workflow context instead of funneling it through a mass of irrelevant emails.

Routine Tasks Eliminated

Time and money are spent on repetitive tasks that can be done simply and quickly with workflow automation. Using pre-defined business rules can automate redundant jobs. Needed steps can be triggered by pre-defined conditions and then the right people can be notified for actions.

Enterprise Workflow Automation Examples

Expenditure Approvals

When an employee needs approval for a capital expenditure request, all the steps set in motion can be automated and streamlined. He completes an online form. Workflow automation is triggered to send the request to his supervisor for approval. If approved, it is automatically routed to the finance department for its approval. Then it is routed to the appropriate purchasing agent.

Service Requests

Service Request Management software serves all company departments such as IT, HR, Finance, and Marketing/Sales. Customers use a self-service portal for requests, The various departments can accept and manage service requests from either internal or external customers. The requests are then routed according to company preset rules. The fulfillment of the request and all related activity is automatically tracked and transparent to the company.

Conclusion

Implementing workflow automation management solutions in an enterprise can eliminate errors and redundant tasks. It can speed communication and route critical information and updates. Investing in workflow automation software that simplifies step-intensive or redundant procedures and streamlines the human workflow operations can be an important move toward the enterprise’s improved culture, productivity, and revenue.