How Tangentia Can Help Ease the Transition from Automation Anywhere V11 to Automation 360(A2019)

How Tangentia Can Help Ease the Transition from Automation Anywhere V11 to Automation 360(A2019)

We’re fast approaching the end of life for Automation Anywhere’s Enterprise V11 platform. That’s not a bad thing, however. The industry-leading RPA vendor is replacing the client-based, a legacy solution with something more agile and modern — Automation 360, formerly known as A2019.

You already know this, of course. That’s why you’re here. You don’t need us to convince you about the value of RPA — you need to convince the decision-makers in your business.

Fortunately, that won’t be difficult to do. As you’ll soon see, the numbers speak for themselves. First thing’s first, however, you’re going to need a plan.

What Is A2019/Automation 360?

The latest iteration of Automation Anywhere’s robotic process automation (RPA) solution, Automation 360 is completely web-based, rebuilt by the company from the ground up. It neither relies on specialized infrastructure nor requires an on-premises installation. This allows it to provide greater functionality, better scalability, and improved ease of use at a lower total cost of ownership than its legacy predecessor.

Automation Anywhere has made a few other changes with Automation 360 as well, including:

  • Support for CENTOS and Red Hat Enterprise Linux.
  • UI is available in 7 additional languages, bringing the total supported languages to 10.
  • Available on-premise, as a SaaS app, or as a hybrid deployment.
  • Web-based bot creator platform.
  • Cognitive technology and artificial intelligence are available out of the box.
  • Task commands have been replaced by modular, package-based “actions."
  • A new SDK allows customers to develop their own packages.

When Does Automation Anywhere V11 Reach EOL?

As of March 2021, Automation Anywhere stopped selling Enterprise V11. The product’s official end of life date is September 2022.

The Challenges of Migrating to A2019 from Enterprise V11

To leverage the advanced functionality of Automation 360 and support ongoing business continuity, you need to migrate to Automation 360 as soon as possible. Unfortunately, that’s easier said than done. Because the two versions are so fundamentally different from one another, there are multiple roadblocks to account for :

  • Bot Migration. Bots migrated from V11 to A2019 do not preserve system credentials, meaning these must all be reconfigured manually after migration. Additionally, some bots do not even support migration.
  • Code Differences. Automation 360 has completely retooled how task commands are handled — among other changes — there’s a lack of code parity between the two versions.
  • Versioning Issues. It’s difficult to access historical versioning data on bots and other components after they’ve been migrated, which is a significant issue from a compliance standpoint.
  • Audit Log Storage. Automation 360 changes how audit logs are stored, which can potentially mean retooling your auditing and reporting processes.
  • Output. Automation Anywhere does not offer any straightforward means of comparing outputs for migrated bots, meaning you’re flying blind when it comes to testing whether or not your bots were successfully migrated.

Planning Your Migration Strategy

Successfully migrating to Automation 360 begins with laying the proper groundwork. You’ll need to take a measured, deliberate approach, assessing and evaluating your progress and infrastructure at each phase. Here’s how that looks in practice:

Initial Assessment

  • What’s the extent of your migration?
  • What systems and infrastructure will be impacted, and how significant a change will you need to make to your bots? You’ll want to pay especially close mind to version differences.
  • Do you have measures in place to address any potential business continuity challenges that come up?
  • What is your threshold for solution complexity?
  • Are there other improvements/optimizations that can be made during the migration? New features of Automation 360 that you could incorporate?


  • If your migration will require processes to be engineered or components to be restructured, how will you go about this?
  • Do you have clear visibility into each phase of the migration process?
  • How will your migration be timed? Have you set realistic targets?
  • What business needs do each individual component serve, and which take precedence in terms of migration?


  • Set and follow established best practices for migration, such as those provided by Tangentia.
  • Address challenges and discrepancies via custom solutions.
  • Consider leveraging an automated code dispatcher to better facilitate code migration.
  • Reuse code where possible, and cut out redundancies where you can.


  • Test each migrated component across multiple simulated environments.
  • Perform quality assurance for each component as it is migrated.
  • Examine both functionality and underlying codebase.


  • Manage your new deployment of Automation 360 through change management and lifecycle management processes.

Ensure a Seamless Automation 360 Migration with Tangentia

The prospect of such a complex migration can be both daunting and discouraging. If you’re like most businesses, you likely cannot afford the extensive downtime that would be required. Especially now, you need your RPA platform performing at peak efficiency, with as few interruptions as possible.

Tangentia can help with that.

As a Gold Automation Anywhere Partner and a global leader in RPA, we employ more than 50 trained and certified developers, business analysts, architects, and project managers. Together, these experts have developed a migration process that gets you up and running on Automation 360 as quickly and painlessly as possible. Working with our highly experienced team, you’ll also be able to leverage our powerful, cloud-based Automation Anywhere Platform.

Working with Tangentia, you’ll be able to effortlessly move past any challenges that might prevent a successful migration:

  • Build Better Bots. With our Bot Factory, get the bots you need the moment you need them.
    • Our dedicated team designs develop and test your bots, including tackling all the challenges associated with migrating.
    • We maintain a Bot Operations Center to provide full support post-migration.
    • We’re able to easily spin up virtual testing environments for the purpose of output comparisons.
  • Maintain Code Parity. Between our expertise and our extensive code library, we’ll help you sort through any unsupported components as you move from one platform to the other.
  • Preserve Version History. We’ll make sure that even post-migration, you don’t lose versioning data. We’ll keep it securely stored and readily accessible for all your compliance needs.
  • Keep Your Audits Intact. Whatever your auditing and reporting requirements, we’ll make sure you meet them, no matter how complex your migration is.

Before you migrate to Automation 360, it is important to verify the migration readiness of your bots. You can scan your bots using Automation Anywheres Bot Scanner and analyze the generated report for information about their current state.

Get Started on Your Automation Anywhere Journey Today

Contact us for more information on how we can help you seamlessly migrate from Automation Anywhere V11 to Automation 360 (A2019).

How to Build a Business Case for RPA

How to Build a Business Case for RPA

Robotic Process Automation (RPA) is arguably one of the most transformative technologies in the business world. It can be used to streamline a business across the board, from network security to payroll and order fulfillment. For anyone who’s been paying attention, the benefits are as clear as day.

You already know this, of course. That’s why you’re here. You don’t need us to convince you about the value of RPA — you need to convince the decision-makers in your business.

Fortunately, that won’t be difficult to do. As you’ll soon see, the numbers speak for themselves. First thing’s first, however, you’re going to need a plan.

It All Starts With Your Roadmap

In order to properly conceptualize and explain the specific ways that RPA can benefit your business, it’s imperative that you first know exactly how it will be used within your organization.

For instance, will you apply it to your reporting, eliminating hours of data entry? Will you use it to process invoices for your customers, enabling faster fulfillment times and eliminating potential invoicing errors? Or will you use RPA to streamline your onboarding process so that new employees can get to work that much faster?

The possibilities are, as they say, limitless.

You likely started exploring RPA with a specific problem or set of processes in mind. That’s good. Zero in on that for now, and answer the following questions:

  • What specific challenge or problem am I looking to address with RPA? This is your starting point. Your mission statement.
  • Who will use the deployment? Will RPA be leveraged by multiple departments, or is it exclusively for one segment of the organization?
  • What is the projected timeframe of this deployment? You’ll want concrete dates planned out for your proof of concept/pilot deployment and each phase thereafter.
  • How will this project be integrated? What software needs to be tied to the bots once they’re deployed? Are there any potential implementation challenges?
  • What governance models will we use? Depending on your project’s level of complexity, you’ll want to chart out one or even several RPA governance models, each of which hits the following beats:
    • Clearly established roles and responsibilities, including leadership, support, administrative, etc.
    • An accountability framework to help ensure everyone stays on task.
    • An approvals process for proposing and deploying new RPA bots.
    • Security & compliance standards, processes, and protocols.
    • Best practices for managing and configuring software and (if relevant) hardware architecture.
    • Best practices for cost management.
    • A framework for the timely development and deployment of each bot.
    • A process for change management — RPA is a highly dynamic technology, and your needs are likely to shift or scale over time.
  • What tangible examples currently exist for my projected use case? You’ll want to find as many concrete examples as possible. Not only will this allow you to make a stronger case for deployment — demonstrating that yes, this does work — it will also allow you to extrapolate your potential return on investment. To find these examples, you can look in a few places.
    • Case studies published by RPA service providers. The more similarities between your business and the client organization, the better.
    • Press releases detailing RPA deployments.
    • Statistics and research briefs released by analysts (ie. Gartner).
  • What is the total cost of ownership associated with this project? Structure the breakdown of costs so that it aligns with your proposed deployment schedule.
  • What is the end goal of this deployment? For example, increasing productivity by 10% or reducing order fulfillment times by 20%. Make sure you set realistic expectations here, lest your project loses the approval of the higher-ups.

Costs, Benefits, and Potential

Armed with the research you did in the previous step, it’s time to crunch some numbers. First, you want to do a cost-benefit analysis of your project. You want to be as comprehensive as possible here, quantifying every single potential expense and gain.

You’ll also want to calculate your return on investment. What, at the end of the day, does your business ultimately gain from this deployment? What tangible value will this project generate for the business?

Finally, take a brief moment to brainstorm what other areas of your organization might benefit from RPA. In a pinch, having this information on hand could help seal the deal and bring someone who’s still on the fence over to your side. Don’t just focus on broad departments, drill down to specific processes.

Your CBA and ROI are the two figures that really matter here.

The Pitch

Now that you’ve done your research and crunched some numbers, it’s time to think about how you’re going to make your case. Start with the challenge; your reason for proposing the deployment.

Focus on what the issue is costing your business — on what you lose if you leave the problem unaddressed. Again, concrete numbers are your friend here. You want to provide them with specifics.

How many hours of productivity do they lose? How much money is this problem costing them? How many more clients could they serve if they deployed RPA?

From there, you’ll want to explain in layman’s terms precisely how a well-executed RPA strategy can address this problem. Don’t bother going into detail about the features or functions of RPA. Focus on the results.

With any luck, you’ll have made a strong enough case to move forward with your deployment.

Closing Thoughts

So, in summary, to make your case in favor of RPA, you need:

  • A strong foundation. What specific outcomes do you desire from this project?
  • A comprehensive roadmap, which includes integration plans and target deployment dates.
  • Strong evidence in favor of RPA’s beneficial impact in your industry.
  • A full analysis of how RPA can benefit your business, detailing which specific processes it might be applied to.
  • CBA and ROI data.
  • A well-articulated pitch script.

We won’t lie and say it will be easy. But the end result is worth it. And if, after reading this piece, you still aren’t sure where to start or where to go, Tangentia can help.

We have nearly two decades of experience in the automation space and have worked with multiple customers and systems worldwide. We’re also partnered with multiple RPA vendors, meaning that no matter your use case or business model, we have the expertise and the connections you need.

Book a discovery call today, and we’ll help you make your case.

UiPath vs. Automation Anywhere: Which is the Best RPA Solution for You?

Where Robotic Process Automation is concerned, UiPath and Automation Anywhere are arguably the two reigning titans. Each one has its own unique approach to the industry, and each one is suited for a specific type of use case — and as specific set of industries.
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Unattended Versus Attended Bots — Which Ones are Right For Your Business?

  • Unattended Versus Attended Bots — Which Ones are Right For Your Business?

More and more processes are becoming automated for businesses of all sizes. Affordable automated processes are now feasible for companies, regardless of industry or company mandate.

With the rise of business automation and lowered cost requirements of automating common business tasks, robotic process automation or RPA provides needed services that can overcome common business challenges and eliminate manual processes that are error-prone and time-intensive.

This article will cover everything bots, specifically RPA and unattended and attended bots, and how they can help your business.

What is RPA (Robotic Process Automation)?

RPA refers to software that automates common business tasks. You can purchase RPA with designated tasks to complete, or you can automate processes specific to your workflow and industry.

Tax software is a form of RPA. You can automate the sending of receipts, promissory notes, invoices, and more to clients and customers, while automatically filling in tax forms for your company accountant with the click of a button.

RPA processes can fulfill low-level tasks that employees can perform. If money is tight, or you want your employees to focus on specialized tasks and skillsets, you can use RPA to take over these simplistic tasks.

Unattended Bots Vs. Attended Bots: What’s the Difference?

Bots solve tasks, it’s that simple. Whether you use unattended or attended bots, automate the software and let it do the work. Bots can perform tasks for your business with or without constant guidance from an employee or multiple employees, depending on whether you choose to use unattended or attended bots.

You can also choose both if you want to mix and match how involved your employees are when automating tasks like sending order confirmation emails to clients or updating invoices based on electronic purchase orders.

Unattended bots require no human interaction. These bots are designed to tackle repetitive and frequent tasks at scale. For example, unattended bots are ideal for manual data entry, repetitive admin tasks, monitoring data streams, and other similar tasks.

Attended bots require human interaction. These bots handle simple tasks that make up larger, more complex processes. They often work in tandem with humans to automate complex workflows. Attended bots are not designed for scale. Instead, you should think of them as individualized personal assistants. For example, a customer service rep interacting with a client may use an attended bot to pull customer data during the call.

Which Bot Type is Right For Your Business?

If you want to retain a bit more control over your business bots, choose attended bots. If you have experience with bots and want to automate these processes even more than your normal amount, choose unattended bots.

You can choose both; you do not need to limit yourself to choosing one or the other.

Businesses without experience with bots should choose attended bots to start before moving onto unattended bots. You can use attended bots for some processes and unattended bots for other processes.

Companies experienced with technology, especially RPA or bots, can skip attended bots and go right to implementing unattended bots.

Adopting RPA in Your Business

RPA adoption can be a significant part of the project management process. As you are planning projects and processes, consider which tasks can be automated to save time and increase project efficiency. Fulfilling projects under budget and ahead of schedule is a much more realistic process when bots and RPA can automate many lower-level tasks that require minimal knowledge and skillsets.

Repetitive, low-level tasks are prone to human error. Such tasks take valuable time and money away from more important tasks. These tasks no longer need to be done by human employees but can be performed by automation software in fractions of a second.

Adopting RPA can save you time, money, and efficiency, as well as raise employee morale.

If you are hesitant to add bots, consider the fact that you already have. If you use GPS for delivery runs, you are automating route mapping from a manual process to an electronic version. If you use Microsoft Word, you are automating the creation of a business document instead of writing it out by hand.

Specific bot software and automation are no different than a manual process an employee uses to finish a task faster and under budget.

Key Differences Between Unattended and Attended Bots

While both types of bots can help your business, key differences exist between unattended and attended bots.

Consider attended bots like an extension of your employees. Employees can make decisions and choose actions for these bots to perform. Bots need to be assigned tasks to complete. They cannot undertake actions independently.

Unattended bots are like employees themselves. You direct these bots to fulfill tasks and provide them the autonomy to perform actions within a predetermined framework. Unattended bots can therefore seem to act independently, even though they are not. Such bots can finish employee tasks much quicker than manual processes and require minimal interaction from human operators.

Although these key differences between unattended and attended bots are clear, different definitions may exist depending on the industry jargon you use and the specific software you purchase. However, in simplistic terms, unattended bots are “unattended,” and attended bots are “attended.”

Ready to Transform Your Business With RPA? Tangentia Can Help

Tangentia has almost two decades of experience providing automated solutions, like unattended and attended RPA, for customers worldwide.

Whether you need business solutions like AI, EDI, RPA, or B2B integrations, we can help. Book a discovery call today to see what RPA can do for your business.

Choosing Between Attended and Unattended Bots For Your Business. Learn more about attended and unattended bots in regards to which your business should leverage in our eBook.

Choosing Between Attended and Unattended Bots For Your Business

Learn more about attended and unattended bots in regards to which your business should leverage in our eBook.
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How Automation Is Enabling the Energy Transition in Oil & Gas

  • How Automation Is Enabling the Energy Transition in Oil & Gas

In today’s fast-changing world, the oil and gas industry must keep up with the energy transition that is underway. With fluctuating oil prices, climate change, the rise of new energy resources, changing consumer behavior, energy poverty, and the pandemic that has engulfed the world, the energy sector is facing many challenges.

It is time for oil and gas companies to pivot within the energy sector by changing their core business model and operational strategies to increase their agility. This will allow them to grow and scale their business within these challenging times. Automation is the key here. It is not just one component of this change—it is the platform on which this change is built.

With this in mind, there are four key areas in which automation can help oil and gas companies not only survive the energy transformation but thrive in it.

Increased Efficiency and Reduced Costs

Automation is paving the way to increased efficiency and reduced costs, which are vital in these days of increased industry volatility. Back-office processes, such as invoicing and HR processes, can be fully automated, saving thousands of human hours and allowing humans to focus on more important tasks.

More than that, automation has reached the field. It can improve health and safety, help with routine and predictive maintenance, and improve the collection and analysis of field data, making connections between that data and data from other areas of the industry and drawing meaningful insights from the data.

Communications in the field are aided with the use of bots that can relay information with the use of voice command and improve communications between the home office and the field. This is what Tangentia’s TiA platform is capable of. Ultimately, this allows workers to do their jobs more quickly, more accurately, and more thoroughly than ever before, reducing costs, reducing error, and making the entire end-to-end operation more efficient.

Direct Relationship with Customers

Oil and gas companies have traditionally been more behind-the-scenes in the energy sector, not interacting directly with energy customers. However, the customers of today want service that is fast, convenient, and tailored to their specific needs. TiA makes that possible by allowing oil and gas companies to improve the customer experience through the use of conversational artificial intelligence (AI).

AI can use natural language to communicate with customers through a variety of media, such as SMS text messaging, phone, email, and web-based chat. This allows customers to get the personalized service they want when they want it while freeing up the human workforce to focus on building stronger customer relationships. It also allows oil and gas companies to be better able to match up supply with demand.

Increased Value from Data

Automation in the oil and gas industry is improving the collection, management, and analysis of data. With exponential increases in the amount of data collected, automation is required to analyze that data and pull key insights from it. This makes an oil and gas company’s data a more valuable resource than ever before.

The insights derived from this data make it possible for an oil and gas company to pivot more quickly and easily in an ever-changing industry. They can see where they are losing money and where efficiency can be increased, and they can more readily identify valuable opportunities.

Increased Innovation

With the arrival of the digital age, oil and gas companies have been spurred to come up with new innovations that will allow them to shift to a platform-based business model that takes advantage of the Internet of Things (IoT), mobile development platforms, and open-source software. This makes it possible for oil and gas companies to make use of automated data analysis to come up with innovative solutions to technical challenges and develop new capabilities.

Tangentia’s TiA platform is a valuable tool in the shift to automation. We have a variety of bots to serve your needs, from finance to invoicing, supplier management to timesheet management and so much more. With TiA your oil and gas company will be on the cutting edge of automation.

To learn more about automation and Tangentia’s TiA platform, reach out to speak with a team member today. We’re looking forward to hearing from you!

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Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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RPA Can Help Oil & Gas Weather Industry Volatility

  • RPA Can Help Oil & Gas Weather
    Industry Volatility

We live in a world of uncertainty, a world in which COVID-19 continues to rage around us, disagreements between OPEC countries in early 2020 caused tension in the industry, and the world economy continues to suffer. This has resulted in unstable crude oil prices. In in the early months of 2020, the price of crude oil fell drastically. While these prices have rebounded, uncertainty still hovers like a spectre above the Oil & Gas industry.

Oil & Gas companies are working hard to navigate this unprecedented time in history, looking for ways to cut expenses as energy prices remain unstable. Cutting back on development, deferring projects to a future date, and focusing on regions that offer high tax incentives are all traditional tactics that help stem losses.

However, there is another solution that the Oil & Gas industry has previously been slow to adopt, yet can result in significant cost savings and increased productivity. It is the adoption of robotic process automation (RPA), which makes it possible for Oil & Gas companies to streamline processes and operations like never before.

What Is RPA?

RPA is an automation technology that uses intelligent software-based robots or “bots” to intelligently perform tasks that are important, yet repetitive and time-consuming. The result is that processes can be completed more quickly, while eliminating human error. This, in turn, results in increased productivity, lower costs, and the ability to free up employee time to complete high-value tasks.

How RPA Can Help

RPA can benefit upstream, midstream, and downstream Oil & Gas operations, improving and simplifying processes and so much more. From enhancing exploration and production with the use of powerful data analytics to monitoring field infrastructure and equipment to automating all aspects of shipping logistics, RPA can save thousands of human work hours. This leaves your employees with the time to analyze the data and make decisions that can mean the difference between just getting by and thriving. Here are some examples of how RPA can make a significant difference:

Enhanced Exploration

The interpretation of seismic data is critical when it comes to discovering potential drill sites. RPA algorithms can be set up to take raw seismic data, migrate and organize it and conduct a visual interpretation of that data, something that takes hours to do manually.

In addition, when exploratory wells are drilled and core samples are taken, the data from the samples can be fed into an RPA algorithm that can identify the presence of microfossils that are indicative of favorable geological layers for the presence of oil. In addition, the algorithm can analyze the porosity of the rock and estimate the amount of oil recovery that can be expected from cross-sectional images of the core samples.

Pipeline Monitoring

A great example can be seen with pipelines, which have become an increasingly important part of the transportation of oil and gas over long distances. RPA can be used to monitor and maintain thousands of kilometers of pipelines safely and accurately.

The data and reports that are sent in from field workers would take hours to go through manually. However, RPA can search through massive amounts of data within seconds, pulling meaningful insights from it that you then have time to review and analyze, so you can provide the best possible feedback to your field operators.

Optimization of Oilfield Services

Thanks to the Industrial Internet of Things (IIoT), sensors can be placed on all types of equipment, from service trucks to wells to chemical additive totes. RPA can then be programmed to analyze the data that comes in from these sensors, allowing intelligent cross-referencing of the chemicals, equipment and transport required in the field to the control of inventory and transportation management. In addition, RPA can be programmed to access data related to past safety incidents to determine systemic root causes so they can be addressed, improving overall safety in the field.

Predictive Maintenance

RPA can be programmed to take the unstructured data from operator logs and cross-reference that with the design specifications of the equipment, historical operational data, and records related to inspections and repair. The analysis of this data over time will allow the software to create a maintenance schedule for all equipment and automatically create and send out work orders for maintenance tasks as they are needed. This will prevent equipment downtime and ensure the equipment continues in good operation for its expected operational lifetime.

How to Get Onboard with RPA

Adopting RPA to automate processes and improve data management is a critical part of decreasing costs, increasing productivity and improving your bottom line. This means that RPA adoption is also a critical aspect of weathering the price fluctuations in crude oil as we ride out this COVID-19 pandemic and beyond.

However, the adoption of RPA has to be approached in the right way. It is vital that you assess your business and operational objectives and determine which processes should be automated first to provide you with the greatest advantage. One of the best things about RPA technology is that it can be customized to suit your unique circumstances and can be scaled to meet the changing needs of your company and the industry in which you operate.

To find out more about what RPA can do for your Oil & Gas company and how we can help, reach out to Tangentia’s automation team today.

Get Started Today

Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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RPA and Bots Helping Organizations Maintain Operations and Protect Employees

  • RPA & Bots Helping Organizations Maintain Operations & Protect Employees

With the COVID-19 coronavirus pandemic that is spreading rapidly throughout an increasing number of countries, the impact to the economy is already being felt. The stock markets are in turmoil and the OECD reports that the global economy is at risk of dropping 2.4% in 2020. Yet, we are also seeing an unprecedented response from governments, companies and other organizations around the world.

As companies strive to protect employees, technology is playing an increasingly important role in the workplace. In particular, we are seeing the benefits of Robotic Process Automation (RPA) and bots in helping to protect employees and the general public in innovative ways.

The Role of RPA in Protecting Company Employees

Employee health is a major concern for companies during the COVID-19 pandemic. With weeks, possibly even months, of disruptions to normal work routines and many employees now working from home, many governments are requiring companies to track the health of their employees.

This requires taking each employee’s temperature, checking their travel history and having them fill out a short health survey each morning when they arrive at work.

This is a lot of data to go through on a daily basis, particularly for medium- and large-sized companies. To take current employees away from their regular work or hire new employees to go through this data is a massive drain on resources.

Fortunately, RPA is invaluable when it comes to the collection, organization and analysis of this data. The way RPA works is simple and can benefit localized companies and companies that have offices and teams spread around the globe.

RPA can automate the delivery and collection of the daily health questionnaire for each employee, track which employees have filled out the survey, send reminders to those who haven’t and analyze this information along with the daily temperature readings for each employee.

RPA can quickly and easily collect and analyze the data and organize it into daily reports that are delivered to all levels of management. This saves companies a lot of human hours that would be wasted on the tedious nature of sifting through employee health data and eliminate potential human error during data analysis.

The Role of RPA and Bots in Healthcare

With COVID-19 putting an increasing amount of stress on an already stressed healthcare system, human resources are going to be stretched thinner than ever. Fortunately, there is plenty of room for the automation of routine tasks in healthcare, which can help take the burden off staff during the COVID-19 outbreak and beyond.
Here are some important tasks that can be fully automated to ensure healthcare staff can focus on what really matters – the patients:

  • Electronic bots will make it possible to streamline online scheduling by taking all the relevant information, compiling it into a report and forwarding it to the person responsible for making the appointment.
  • RPA will improve the care cycle of all patients by organizing and analyzing all the relevant patient data to increase the chances of an accurate diagnosis. In all situations, including a COVID-19 scenario, this gives doctors more time to provide human care to their patients.
  • RPA can streamline healthcare workflows, which means better management and coordination of individual cases and the overall care provided to patients. It also means an improved ability to provide remote monitoring of a patient, something that is of critical importance with so many COVID-19 patients in self-quarantine.
  • RPA makes claims management easier for the healthcare provider by making is easier to input, process and evaluate the data and deal with any appeals that are made.

All of this automation reduces the occurrence of human error, while providing a personalized user experience for patients and increasing employee satisfaction in the workplace.

The Reality

The COVID-19 situation is changing daily and the long-term effects on how we live and work are uncertain in these early days. However, technology has been developed to the point at which it can provide tools to front line workers that will vastly improve our response to this novel infectious disease. This will ultimately help keep employees, as well as customers and the general public, safe in a variety of workplace settings.

Get Started Today

Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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