Unlocking the Full Potential of AI – The Importance of Choosing the Right Automation Provider

Unlocking the Full Potential of AI - The Importance of Choosing the Right Automation Provider Unlocking the Full Potential of AI - The Importance of Choosing the Right Automation Provider

Unlocking the Full Potential of AI – The Importance of Choosing the Right Automation Provider

The age of automation is upon us, and businesses that fail to embrace this trend risk being left behind. With the rapid advancement of Artificial Intelligence (AI), businesses now have access to tools that can significantly improve their operations, reduce costs, and enhance the customer experience. However, selecting the right automation provider is key to unlocking the full potential of AI.

  • It is essential to choose a provider that specializes in the specific type of automation required by your business. For instance, if your business requires automating data entry tasks, you should choose a provider with expertise in Robotic Process Automation (RPA). On the other hand, if your business needs to optimize complex workflows, you may need a provider that specializes in Business Process Management (BPM).
  • The provider you choose should have a proven track record of delivering successful automation projects. You should research the provider's past projects, look at case studies, and read customer reviews to assess their level of expertise and the quality of their services. This will give you an idea of what to expect in terms of results, timelines, and costs.
  • The provider you choose should have a team of skilled professionals with the necessary expertise to implement and maintain the automation solution. This includes developers, data scientists, project managers, and support staff who can provide ongoing assistance and training as required.
  • The provider you choose should offer a flexible and scalable solution that can adapt to your business needs. As your business grows, your automation requirements may change, and you need a provider that can adjust the solution accordingly.

Get a free Proof Of Concept

Sign up for a free POC worth $5000 for RPA or for a review of your existing RPA and AI implementation. Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

Choosing the right automation provider is key to unlocking the full potential of AI for your business. By selecting a provider with expertise in the specific type of automation required by your business, a proven track record of success, a skilled team, and a flexible solution, you can ensure that your automation project delivers the desired outcomes and helps your business thrive in the rapidly evolving age of AI.

Tangentia is a provider that excels in each of the key areas to consider when selecting an automation provider. The company's specialization, track record, expertise, and flexibility make it an ideal partner for businesses looking to maximize their investment in AI. By choosing Tangentia as their automation provider, businesses can gain a competitive edge by streamlining their operations, enhancing the customer experience, and reducing costs.

It’s Time to See What AI Can Do for Your Business

Reach out to the Tangentia team to learn more about how TiA Core AI can help you combine the capabilities of AI with the humanity of your workforce.
Contact the Tangentia team today.

Beyond the Spreadsheet: How AI and RPA are Changing Financial Planning and Analysis

Beyond the Spreadsheet: How AI and RPA are Changing Financial Planning and AnalysisBeyond the Spreadsheet: How AI and RPA are Changing Financial Planning and Analysis

Beyond the Spreadsheet: How AI and RPA are Changing Financial Planning and Analysis

Artificial intelligence (AI) and robotic process automation (RPA) are revolutionizing the way businesses operate, and the CFO’s office is no exception. In recent years, AI and RPA technologies have become increasingly sophisticated, making it possible for finance departments to automate a wide range of tasks and processes. This, in turn, is transforming the role of the CFO and helping businesses become more efficient, agile, and profitable.

One of the main ways that AI and RPA are transforming the CFO’s office is by automating repetitive and time-consuming tasks. For example, AI-powered software can now extract data from invoices, process payments, and generate financial reports, all without any human intervention. This frees up finance professionals to focus on more strategic tasks, such as forecasting, risk management, and business analysis.

Another area where AI and RPA are making a significant impact is financial planning and analysis. By analyzing vast amounts of financial and operational data, AI algorithms can identify patterns, make predictions, and provide insights that would be impossible for humans to uncover on their own. This allows CFOs to make more informed decisions, develop more accurate forecasts, and identify opportunities for cost savings and revenue growth.

In addition to improving the accuracy and efficiency of financial processes, AI and RPA are also helping businesses to become more agile and responsive to changing market conditions. For example, by automating financial reporting and analysis, CFOs can get real-time visibility into the company’s financial performance, enabling them to quickly identify and address issues as they arise.

Furthermore, AI and RPA are also helping businesses to manage risk more effectively. By automating risk assessments and compliance checks, finance departments can reduce the risk of errors and fraud, and ensure that the company is operating in compliance with regulatory requirements.

While there are certainly challenges to be addressed, such as the need for skilled workers to manage and maintain these technologies, the benefits of AI and RPA are too great to ignore. By embracing these technologies, CFOs and finance departments can transform their operations and help drive business success.

In conclusion, AI and RPA are transforming the CFO’s office and helping to transform businesses. By automating repetitive tasks, improving financial planning and analysis, increasing agility, and managing risk more effectively, CFOs can free up time to focus on more strategic tasks, such as developing growth strategies and driving innovation. As AI and RPA continue to advance, the opportunities for finance departments to drive business success will only continue to grow.

It’s Time to See What AI Can Do for Your Business

Reach out to the Tangentia team to learn more about how TiA Core AI can help you combine the capabilities of AI with the humanity of your workforce.
Contact the Tangentia team today.

IBM Data Processing Addendum (DPA) and Watson AI for Automotive Sales

  • IBM Data Processing Addendum (DPA) and Watson AI for Automotive Sales

    IBM Data Processing Addendum (DPA) and Watson AI for Automotive Sales

The automotive industry is made up of many long and complex processes when it comes to manufacturing vehicles. Everything from maintaining accurate inventory levels, ensuring that the right parties sign off on paperwork, organizing the data being collected by onboard sensors, and other tasks are best handled by IBM Data Processing Addendum.

Inefficient processes in your back-office can slow down the entire production process, causing delays, parts
shortages, and other costly outcomes. Keeping track of all of this data requires large teams, which increases your operational expenses. And with competition in the automotive industry at an all-time high, these added expenses can impact your bottom line.

DPA is one area that many automotive companies are implementing as part of a wider digital transformation.
By automating repetitive, manual tasks, your company can identify significant ways to save and improve the efficiency of the processes you rely on to maintain your position in the market.

IBM for Automotive

Tangentia can help your organization create automated systems that are designed to save time, improve operational processes at all levels, and enhance the customer experience. We’re a trusted IBM strategic partner that can help your company start its digital transformation. Our team of developers will work with your company to create a proof of concept that works with your internal policies and processes.

Why IBM DPA for Automotive Industry?

  • Make Better Use of Data
    The data you collect from vehicle diagnostic systems and sensors is your most valuable asset. DPA helps you
    categorize and drive more value from this data.
  • Excellent Customer Satisfaction
    Enhance the way your customers interact with your company by reducing friction at all touchpoints a customer
    has with your company.
  • Start Your Digital Transformation
    Put your company on the right path by kickstarting your digital transformation. DPA will provide your business
    with the foundation it needs to scale up.
  • Save Time and Money
    Your back-office tasks require a lot of time and labor. Improve the efficiency of these tasks with an automated
    system that you can configure based on your internal policies.
  • Improve Your Competitiveness
    Maintain your competitiveness through an DPA system that delivers exceptional value to your potential customers.
  • Futureproof Your Operations
    Artificial intelligence and digital operations are changing the way companies do business. DPA provides your company
    with a reliable way to futureproof your operations.

What tasks can IBM DPA and AI solve for Automotive sales?

  • Streamline the application process for vehicle sales
  • Payment processing for service departments
  • Logging vehicle service reports and other diagnostic data
  • Automating customer document requests
  • Tracking inventory levels for specific parts
  • Maintain effective regulatory compliance
  • Digitizing documents
  • Improving back-office operations

Are you interested in improving the essential processes that your business relies on? DPA is one of the most impactful ways your business can boost its back-office performance. Get in touch with the Tangentia team today to see how we can
empower your company to leverage the latest DPA technology to improve automotive sales.

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, USA, Mexico and India to implement their RPA strategies.
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CEO’s Tech Trends for 2023

CEO’s Tech Trends for 2023

Vijay Thomas

CEO’s Tech Trends for 2023

As the CEO of a rapidly growing tech enterprise, I understand the importance of staying ahead of the curve and being aware of the latest trends in order to make strategic decisions for our organization. Let’s talk about the latest developments and innovations in the tech industry to look out for in 2023 to stay up to date with the latest advancements and their potential impact on various industries.

Our goal is to provide valuable insights and information that will help you stay ahead of the curve in the ever-changing tech landscape. There are several technology trends that are forecasted to continue to grow and evolve in the next few years. Some of the most significant trends include:

  • Artificial Intelligence (AI) & Machine Learning (ML) – As these technologies continue to advance, we can expect to see more widespread use of AI and ML in a variety of industries, including healthcare, finance, and transportation. This will lead to more accurate predictions, improved automation, and more personalized experiences.
  • 5G – The deployment of 5G networks is expected to accelerate in 2023, providing faster internet speeds and more reliable connectivity. This will enable new use cases such as autonomous vehicles, smart cities, and the Internet of Things (IoT).
  • Edge Computing – With the explosion of data being generated by devices and systems, edge computing will become increasingly important to process and analyze that data in real-time. This will lead to faster and more accurate decision-making and reduce the burden on centralized data centers. Tangentia’s TiA IoT systems are continuing to form the backbone of technologies that change the way we live.
  • Virtual and Augmented Reality (VR/AR) – VR (Virtual Reality) and AR technologies are expected to continue to evolve and become more mainstream. They will be used in a variety of industries, including gaming, entertainment, and education, to create more immersive and interactive experiences. Tangentia’s digital innovations team is at the forefront of augmented app design and the connected digital space.
  • Quantum Computing – Quantum computing is still in its initial stages, but it is expected to become more powerful and accessible in the next few years. It will be used to solve complex problems that are currently beyond the capabilities of classical computers, such as drug discovery, weather forecasting, and financial modeling.
  • Blockchain – Blockchain technology is becoming increasingly popular in industries such as finance, planning, and supply chain management. This is because of its ability to create decentralized and tamper-proof ledgers, which can be used to record transactions and other data. Learn how Tangentia is harnessing the power of the blockchain for the Autonomous Enterprise.
  • Autonomous Enterprise – An autonomous enterprise is a business model that uses artificial intelligence (AI), robotic process automation (RPA), and other digital technologies to automate a wide range of business processes, from decision-making to operations. The goal of an autonomous enterprise is to become more efficient, flexible, and responsive to changing market conditions and customer needs.

Tangentia Low Code DEvelopment

One of the key components of an autonomous enterprise is the use of AI and machine learning (ML) to automate decision-making. This can include everything from analyzing data to identifying patterns and making predictions.

Another important aspect of an autonomous enterprise is the use of IoT and edge computing. This allows the autonomous enterprise to collect, process, and analyze enormous amounts of data in real time, making it possible to make decisions and take actions in near-real time. This is especially important in industries such as manufacturing, planning and transportation where rapid decision-making is crucial.

The autonomous enterprise also relies on automation and self-service capabilities, which allow it to operate with minimal human intervention. This can include automating routine tasks such as inventory management and supply chain operations, as well as providing self-service capabilities to customers, such as online ordering and account management.

An autonomous enterprise also requires a robust and secure infrastructure that can handle the large amounts of data and automation required to support it. This includes technologies such as cloud computing, which allows for scalability and flexibility, and blockchain, which provides a secure and decentralized way to store and manage data.

These are just a few examples of the technology trends that are forecasted to continue to grow and evolve in the next few years. It is important to note that technology is constantly evolving, and latest trends and developments can emerge suddenly, making it challenging to predict the exact trajectory of certain technologies.

Additionally, we are also seeing a shift towards more sustainable and environmentally-friendly technology, which is likely to become an important trend in the future. Overall, the technology industry is an exciting and dynamic field that offers many opportunities for innovation and growth.

In conclusion, technology is constantly evolving and changing the way we live and work. Keeping an eye on the latest trends and developments can help businesses and individuals stay ahead of the curve and take advantage of new opportunities. Hope this helps you on this journey of discovery and innovation in the tech industry.

Get Started on Your Autonomous Enterprise Journey Today

Book a discovery call with a member of Tangentia’s autonomous team today to find out more.

Recession-Proofing Your Workforce with Digital Workers

Recession-Proofing Your Workforce with Digital WorkersRecession-Proofing Your Workforce with Digital Workers

Recession-Proofing Your Workforce with Digital Workers

In the 2008 recession, many workers turned to self-employment as a way to maintain their income. It was the beginning of the gig economy, with companies hiring freelancers and contract workers to supplement their workforce and keep costs down.

Now, with the economy poised on the brink of another recession—a 60% likelihood according to Morgan Stanley—and with revenues down and inflation up, numerous companies are changing their approach to hiring and even reducing their workforce in some cases.

But this time around, companies have a new option when it comes to supplementing their workforce and keeping costs down—the use of digital workers.

What Are Digital Workers?

Digital workers are automated software programs that use robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML) to perform repetitive tasks that normally take human workers hours to complete. The goal with digital workers is to automate end-to-end business functions in the front-office and back-office so they get done more efficiently and accurately at a lower cost.

How Digital Workers Can Help

How Digital Workers Can Help

Digital workers can do the work of human workers in a fraction of the time, without human error, either working autonomously or alongside human workers. This frees up people to focus on higher-value tasks and it makes it possible for a company to retrain their existing human workforce so they can fill other roles within the organization.

This reduces the need to hire new workers and makes it easier to keep current staff employed in other areas of the company. It also increases overall productivity and innovation, without increasing costs and the results of this approach speak for themselves. They include:

  • Avoiding the costs that come with new hires
  • Avoiding the need to layoff or furlough employees
  • Providing employees with the opportunity to grow and develop
  • Improving workplace culture
  • Streamlining day-to-day processes
  • Reducing overhead costs
  • Improving cash flow
  • Minimizing disruption to business operations
  • Increasing sustainability

Many companies are making these changes. According to the World Economic Forum, over 80% of business executives are pushing ahead of schedule with their plans to digitize work processes. In addition, 50% of employers expect to speed up the automation of at least some of the roles within their organizations.

The Time to Thrive Is Now

Instead of worrying about how to make it through the next recession, it’s time to come up with a digital strategy that will make it easy not only to survive but to thrive. Digital workers have the power to reinforce your workforce, so you can maintain operations without compromise—and without increasing costs. Instead, you will be able to do more with less and you will maintain your competitive advantage.

Take control of your workforce needs. Reach out to a Tangentia team member today and find out how we can help you recession-proof your business with digital worker technology.

Get Started on Your Automation Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about Digital Workers.

Automation Is Helping Retain Employees Despite the Great Resignation

Automation Is Helping Retain Employees Despite the Great ResignationAutomation Is Helping Retain Employees Despite the Great Resignation

Automation Is Helping Retain Employees Despite the Great Resignation

The Great Resignation is a term that has been in use since early 2021 when large numbers of employees began voluntarily resigning from their jobs. A whopping 47 million people left their jobs in 2021, and as of February 2022, there were more than 11 million job openings in the U.S.

Employees have given many reasons for resigning from their jobs. The top ones include low pay, lack of advancement opportunities, feeling disrespected at work, trouble finding childcare, lack of flexibility in terms of work schedule, insufficient benefits, and working too many or too few hours.

So, if all of these reasons are the driving force behind people resigning from their jobs, what can employers do to make them stay? At a time when employee turnover is high and costly and retaining employees is difficult, employers can take advantage of automation to help keep employees from resigning.

What Makes Employees want to Stay?

In order to understand how automation can help with employee retention, you have to know what makes them want to stay on with a company. While pay is certainly an important factor, it is not the only one, nor even the most important. A recent global study found the following were the top drivers of a positive work experience that make employees want to stay with their employers:

  • A good work/life balance – 50%
  • Being part of a team – 41%
  • Having the proper equipment/tools for the job – 38%
  • Feeling heard and having feedback considered – 36%
  • Compensation – 36%

How Automation Can Help

Automation and the Great Resignation

There are many ways automation can be used to improve the employee experience, resulting in a happier and more engaged employee. Take a look:

Offer flexibility in where they work

Intelligent automation makes it possible for employees to access the processes and tasks they need to do their job no matter where they are. This means they can enjoy a hybrid work environment that allows them to work from home when needed and still be highly productive.

Improved work/life balance

With so many people leaving their jobs and so many people being laid off, the people who remained have had to take on more and more of the work burden. This increases stress and decreases job satisfaction. Automating tasks and processes relieves that burden, so employees don’t have to put in extra hours and can find a better work/life balance without sacrificing productivity.

Automating repetitive tasks

The automation of repetitive tasks and processes is a natural progression to achieving a good work/life balance. Having to perform repetitive tasks is time-consuming, tedious, and joyless. Employees have so much more to give you, so relieve them of the repetitive tasks so they can engage in higher-value tasks.

Giving employees the tools they need

An intelligent automation platform that requires little to no code makes it possible for employees to create their own tools, such as a virtual assistant, when they need them. This will allow them to customize their tools to suit their unique needs, ultimately increasing their productivity.

Making it easy to collaborate and work as a team

When employees can connect and share work resources, such as notes and even bots, they can enrich each other’s work and create an environment that thrives on collaboration. Not only that, but cloud and automation technology together make it possible for employees to connect with each other, no matter where they are working.

Provide opportunities for advancement

With the automation boom that has arisen, companies are in need of people with the skills to work with automated systems. From developers to analysts to workflow specialists, your employees can broaden their skills and move within the company to fill these positions and their desire for advancement.

What Comes Next?

The COVID-19 pandemic has fuelled the growth of automation technology, and it is expected that our relationship with that technology will only deepen in the coming years. Robotic process automation (RPA) is at the forefront of this technology. It is offered as RPA-as-a-Service, being integrated into all existing digital technologies to reduce costs for companies, while increasing productivity and easing the workload for employees. This is a win-win, generating better results for the company while creating happier employees who want to stay.

Book a discovery call with a member of the Tangentia team today to find out more about how automation can help you retain your employees.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

9 Benefits Robotic Process Automation (RPA) Offers Your Business

9 Benefits Robotic Process Automation (RPA) Offers Your Business9 Benefits Robotic Process Automation (RPA) Offers Your Business

9 Benefits Robotic Process Automation (RPA) Offers Your Business

As the digital workplace continues to rapidly expand, it shouldn’t come as a surprise that robotic process automation (RPA) solutions are following suit.

In fact, the RPA market was worth an estimated US$2.65 billion at the close of 2021, with a projected CAGR of 27.7% from now until 2030.

In other words, the RPA market is on track to hit US$23.9 billion by 2030, signifying a massive shift in the way humans and AI interact in the workplace.

Add this to the fact that up to 25% of employees spend time and resources on unnecessary manual tasks that are now fully automated, and it’s easy to see that RPA — and intelligent automation — provide robust benefits to businesses willing to implement digital strategies and AI solutions for the future.

Read on to learn the basics of RPA and some of the biggest benefits it has to offer.

Understanding RPA: Robotic Process Automation

In its most basic form, RPA refers to software designed to automate various rules-based business operations and repetitive manual tasks. It aims to boost efficiency, productivity, and accuracy across the business.

Whether your business leverages simple RPA or more intelligent automation like AI, IDP, or Digital Workers, there’s no denying what a business can accomplish with a unified digital and human workforce.

The Value of RPA

Today, RPA is becoming an integral component of the modern business landscape. The world’s leading brands use RPA processes to unlock future expansion in an era defined by an emerging digital workforce, AI, and cloud-based solutions.

Automation technologies offer significant benefits to virtually every industry, especially in departments with repetitive, manual tasks.

So, what are the biggest benefits RPA has to offer to businesses today?

9 benefits of rpa at tangentia

9 Benefits of RPA for your Business

Below we will outline ten benefits of robotic process automation and explain how companies around the globe use RPA software to upgrade business processes, enhance analytics, meet compliance, and manage human resources.

#1. Automate Simple Manual Tasks

One of the most significant benefits of RPA is that it cuts down on time spent on manual processes meaning employees have more time to focus on creative tasks that add direct value to the company.

A Deloitte survey showed that 56% of its respondents have already implemented RPA technology, with expectations of a global takeover in as little as five years.

#2. Enhance the Customer Experience

Bots are always working, and with much more accuracy, speed, and scale than humans can. As a result, tasks are completed far quicker and with fewer mistakes.

Using bots to automate tedious rule-based activities like data collection, reporting, and onboarding allows your business to streamline development and focus on enhancing the end-user experience.

#3. Unify Humans and Digital Workers

RPA creates a way for businesses to merge digital workers with the human workforce. When unifying humans and AI, scalability is no longer an issue because automation provides seamless solutions to help you expand your business with fewer human resources.

This allows your human workers to focus on more strategic and creative tasks while leaving the more tedious and mundane processes to automated bots.

#4. Boost Efficiency and Productivity

Implementing RPA processes improves productivity and efficiency by automating manual tasks for every aspect of your business.

According to Deloitte’s third annual RPA survey, “RPA continues to meet and exceed expectations across multiple dimensions including improved compliance (92%), improved quality/accuracy (90%), improved productivity (86%), cost reduction (59%).”

With more sophisticated automation solutions leveraging machine learning and AI, you can expect this trend to continue.

#5. Increase Revenue and ROI

Businesses employing RPA technologies reported 10 to 40 percent measurable cost reductions during initial deployments.

There are also reports of companies achieving ROIs of up to 200% during the first twelve months, with bots accounting for a mean of 20% FTE capacity.

Automating manual tasks ensures your employees can stay focused on revenue-generating activities and providing the best customer experience possible.

#6. Reduce Human Error

RPA bots reduce the risk of manual errors associated with data management, authorization, and even help identify cyber-attacks that humans may overlook.

A reduction in data entry has far-reaching advantages, especially for financial services involving audits, taxes, and private customer data.

When automation is configured correctly, there is less risk associated with data being entered incorrectly throughout the data entry process.

#7. Better Data Quality & Analytics

Since RPA eliminates the risk of error, your overall data quality is better, too.

High-quality data translates to streamlined processes. It also provides you with detailed performance analytics that you can use to measure the effectiveness of any automation solution, create data benchmarks for various departments, and helps you identify new areas and processes that may be ideal candidates for automation.

#8. Decreased Turnover Rate

It’s safe to say humans tend to be happier at their jobs when it includes tasks that allow them to learn new things and engage with activities outside of data collection.

By handing the monotonous jobs over to automated bots, your workforce is likely to see decreased turnover rates.

#9. Streamline Compliance and Minimize Fraud

RPA offers a lot of value when it comes to streamlining compliance and combating fraud.Automating the processes that involve managing sensitive customer data reduces the risk of a human mishandling that critical data since automation handles the various processes related to collecting, extracting, and processing PII.

Looking to Kickstart Your Automation Journey?

Whether you’re automating financial processes, data extraction, or something else, there’s no denying the immense benefits RPA and intelligent automation have to offer to businesses in all industries.

Are you looking to kickstart your robotic process automation journey? See how our TiA Tangentia digital workers can transform your internal processes. Book a demo today to get started.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

How Will Hyper Intelligent Automation Evolve RPA?

How Will Hyper Intelligent Automation Evolve RPA?How Will Hyper Intelligent Automation Evolve RPA?

How Will Hyper Intelligent Automation Evolve RPA?

Hyper intelligent automation, which is often referred to simply as hyper automation, is a general term that refers to the application of advanced and emerging technologies to automation.

Hyper Automation is rapidly transforming what’s possible with Robotic Process Automation (RPA). RPA was originally designed to repeatedly perform the same task accurately and it created the foundation for automation as we know it. It required incredibly complex code and it was not capable of adapting to new information.

However, advanced technologies like artificial intelligence and machine learning are now being applied to RPA, creating a more evolved version of RPA that actually can grow and adapt on its own. The application of advanced technologies to RPA and similar systems is the general idea behind hyper automation. A secondary goal of hyper automation is creating a unified understanding of all automated tasks and processes throughout the organization.

None of this is theoretical – hyper automation is currently transforming businesses around the world. Approximately 34% of organizations are adopting hyper automation with a focus on employee productivity. Enough organizations are aware of the benefits of hyper automation to make it an entirely new movement focused on evolving existing automated processes and understanding every automated process in the business.

Today we’re going to examine how hyper intelligent automation is already evolving RPA, along with a deeper dive into what hyper automation actually means.

What is Hyper Intelligent Automation?

Hyper automation is not a specific technology or tool, but rather an umbrella term that refers to a wide range of tools and technologies that are used in advanced automation. Additionally, the term can also be used to refer to more sophisticated automation processes that go beyond the current definition of automation.

Every new and emerging technology that aims to make computers smarter plays a part in hyper automation. Each of the following technologies can be used to evolve RPA into something vastly more powerful:

Engineers and developers will use any of the above technologies (plus any that are not mentioned) to create advanced versions of the existing RPA processes.

Hyper Automation Dramatically Improves Scalability

RPA was revolutionary for organizations across all industries and still is. However, it was originally designed for mundane, repetitive tasks such as data entry or reconciling invoices.

There are three problems with RPA that hyper automation aims to solve:

  • RPA is delicate: Most unforeseen challenges will cause the RPA bot to malfunction, which typically means crashing and leaving the task undone until someone notices. RPA does not adapt and learn, it does the same thing and does not handle changes well.
  • RPA can increase technical debt: A poorly optimized RPA system can substantially increase technical debt throughout its lifespan if it was not adequately optimized before it was implemented. Essentially, it will consume more technical resources than it needs to, which has a real cost to your business.
  • RPA can rarely completely replace a human employee: A common goal of automation is to eliminate the need for a human employee, but RPA by itself can rarely accomplish this.

Hyper intelligent automation aims to address each of these problems. By applying advanced technologies, typically AI and ML, RPA systems can become evolved versions of themselves that are aware of resource consumption and can react to unforeseen challenges in their tasks.

Hyper intelligent automation at tangentia

A real-world example of hyper automation evolving an RPA process comes from a developer from the United States government. The developer applied AI to the existing RPA that was used to help determine eligibility for the Affordable Care Act applications. The evolved RPA allowed the agency to scale without needing more human employees and serve more users.

Essentially, hyper automation creates better RPA bots that truly unlock the scalability that has been the goal of the technology since the beginning.

IDP Capabilities

There are numerous capabilities that come with an IDP solution. These include:

  • Identifying content that is difficult for traditional OCR to read from a document
  • Determining how relevant a word or character is based on pre-defined rules and the context of the document
  • Extracting specific information
  • Auto-classifying documents
  • Validating data
  • Reading QR codes and barcodes
  • Organizing data
  • Generating reports

How Does Hyper Automation Evolve RPA?

So far we’ve been focusing on how specific RPA tasks and bots can grow and evolve with hyper automation. However, hyper automation not only applies advanced technology to the given process but also creates cross-functional collaboration across different processes and robots.

Ultimately, the goal of hyper automation is not to have dozens of siloed processes that are more advanced but to have an entire company-wide system of automated processes that work together to accomplish required tasks in the most intelligent way possible. Evolved RPA systems will be able to decide the best way to accomplish the task when armed with data from the entire company.

Digital Transformations Demands Hyper Intelligent Automation

Organizations across all industries are undergoing digital transformations in an effort to remain competitive. Hyper automation is yet another way for companies to embrace a true digital transformation by creating an over-arching system of automated processes that create a holistic view of the entire organization. Additionally, each individual process will be approached intelligently, rather than strictly programmatically as with early RPA bots.

However, it’s worth mentioning that the promises of hyper automation discussed above will only be reaped by organizations with the right team of developers and engineers to apply advanced technologies to RPA bots.

Are you looking to evolve your RPA bots with advanced capabilities along with creating an all-encompassing vantage point of all automated processes in your business, but unsure where to start? Contact Tangentia today to see how we can help evolve your RPA bots into hyper-intelligent automated digital workers that will help your company reach new heights.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

What Is Intelligent Document Processing?

What Is Intelligent Document Processing?What Is Intelligent Document Processing?

What Is Intelligent Document Processing?

Intelligent Document Processing (IDP) is a method of automating the collection of structured, semi-structured, and unstructured data from a variety of sources and organizing it into a usable format. IDP is the most advanced form of extracting data from documents.

Keep in mind that IDP is not the same as Optical Character Recognition (OCR), despite the fact that the two terms are often used interchangeably. Instead, IDP was developed to enhance the capabilities of OCR, as well as to incorporate other technologies, such as data capture and Natural Language Processing (NLP).

With this in mind, this blog post covers how IDP works. But before we get into that, let’s talk about the benefits of IDP.

IDP benefits

With the ability to eliminate the need to collect unstructured and semi-structured data manually, IDP delivers a number of critical benefits for a wide range of organizations. These include:

  • Increased processing speed – AI-native IDP solutions can increase the speed at which data is extracted by as much as 10 times.
  • Increased accuracy – Accuracy for data extraction is as high as 99.9%, and straight-through processing of over 95% can be achieved.
  • Enhanced productivity – With minimal human intervention required, employees aren’t tied to the manual processing of data. This means more data can be processed more quickly, while employees focus on higher-value tasks.
  • Costs less – With the increased speed and accuracy of document processing and the elimination of manual data entry, cost savings are as high as 70%.
  • Electronic storage of documents – Paperless processing of documents allows for the digital storage of those documents.
  • Integration at the business level – IDP can easily be integrated with existing business systems and other automation solutions, allowing organizations to achieve a fully integrated robotic process automation (RPA) system.

These benefits are significant, particularly in a world where organizations increasingly have to do more with less. With this in mind, let’s take a look at the IDP workflow and how it helps organizations reap these benefits.

IDP workflow

The IDP workflow is used to scan hard-copy documents and files, capture the information in them, and store that information in a digital format. Types of documents that can be scanned include PDF files, emails, text messages, medical imaging, forms, and other types of documents in digital and paper-based formats. With this in mind, the IDP workflow consists of five steps, which are as follows:

1. Preprocessing of the document

Documents must be preprocessed to ensure that OCR can effectively distinguish the characters and words from the background. For this reason, the following techniques are used to prepare the document for OR:

  • Binarization – This is the conversion of a color image into black and white. It is done at the pixel level, converting each color pixel into either a black pixel (value = 0) or a white pixel (value = 256), so there is an easy distinction between the characters or words and the background.
  • Deskewing – Horizontal misalignment of a scanned document is common. There are a few techniques, such as the Topline method and the Projection profile method, that are used to correct the skew of the scanned image.
  • Removal of noise – This is the process of removing small patches or dots of contrast that are not part of the data and might be picked up by the OCR solution.

2. Classification of the document

Classification of the document is a three-part process that determines the following:

  • Document format – This is the identification of file type, such as JPEG, PDF, TIFF, or MS Word.
  • Document structure – This determines whether the document is structured, semi-structured, or unstructured. Structured documents, such as an application form, have a consistent template into which information is entered. Semi-structured documents, such as invoices, have similar information that can be entered into different areas of the document. Unstructured documents, such as an email or contract, have little to no structure or formatting to them.
  • Document type – This determines the type of document, such as whether it is an invoice, shipping label, email, or bank statement.

3. Extraction of data

There are two ways to extract data from a document. These include:

  • Key-value pair extraction – This is a method that extracts specific values that represent unique identifiers in the document.
  • Table extraction – This involves the extraction of line items arranged in a table format.
    • OCR – This is the conversion of documents with typed or handwritten text, such as scanned documents, PDF files, or photographic images, into text that has been machine-encoded. Keep in mind that there are errors that can happen with OCR, including errors in word detection, word or character segmentation, and character recognition.
    • Rules-based extraction – This is ideal for the extraction of data from structured and semi-structured documents because it uses a position reference within the document to identify key-value line items or pairs.
    • Learning-based extraction – This uses machine learning (ML) and deep learning (DL) to extract data. Supervised (human involvement) and unsupervised (no human involvement) learning is used to train the extraction models and increase their efficiency and accuracy.
  • Document type – This determines the type of document, such as whether it is an invoice, shipping label, email, or bank statement.

4. Validation of data

The validation of extracted data is done to determine whether it contains any inaccuracies. This is done by applying data validation rules to the document, ensuring that any inaccuracies that are present are detected and flagged so they can be corrected.

5. Review by a human

The IDP workflow would not be complete without the human component. All flagged documents are reviewed by a human to confirm and correct inaccuracies. This is particularly useful during the supervised learning of learning-based extraction.

Once the IDP workflow has been completed, the resulting data can then be entered into a database or exported to any one of a number of file formats, such as PDF or XML.

Intelligent document processing at Tangentia

IDP Capabilities

There are numerous capabilities that come with an IDP solution. These include:

  • Identifying content that is difficult for traditional OCR to read from a document
  • Determining how relevant a word or character is based on pre-defined rules and the context of the document
  • Extracting specific information
  • Auto-classifying documents
  • Validating data
  • Reading QR codes and barcodes
  • Organizing data
  • Generating reports

IDP use cases

The above capabilities are applicable to a wide range of industries. The following are specific use cases for IDP:

  • Lending and insurance – IDP can be used to process loan applications and conduct a credit risk analysis.
  • Commercial real estate – IDP can be used to process a variety of documents, such as lease agreements, rent roll processing, and T12 statements.
  • Accounts payable – IDP makes it possible to process invoices with a variety of layouts and structures, ensuring that clients have a seamless experience while being able to match the invoices against purchase orders in real-time.
  • Logistics – IDP allows the easy and seamless management of data from one end of the supply chain to the other and makes it possible for companies to deliver necessary documents to vendors, contractors, and transportation teams.
  • Healthcare – IDP is invaluable when it comes to processing documents related to patient intake and onboarding, as well as revenue cycle management.

Embrace IDP and Get IT Working for You

The key to taking full advantage of IDP is to take a strategic approach to implementation. This includes implementing process intelligence, which is used to examine your processes and determine where IDP implementation will be most effective, as well as identifying process inefficiencies that could interfere with the implementation of IDP.

At Tangentia, we have an experienced team who can work with you to determine your IDP needs and develop a solution that will enhance your document processing capabilities.

For more information, reach out to a Tangentia ream member today.

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