Author: Daryl Vaz

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation ClientsTangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia, a global leader in digital transformation solutions, announced today that they have strengthened their partner network with the addition of Soroco, a leading provider of process discovery, task mining, and process transformation solutions that are based on an AI-powered #work-graph approach.

This new partnership will allow Tangentia to provide their clients with Soroco's work graph platform – Scout, enabling them to discover end-user interactions to discover, monitor, and improve processes in real-time.

“We are thrilled to join forces with Soroco,” says George Bennett, VP of Business Development for Tangentia. “This partnership will allow us to leverage Soroco Scout, their work-graph platform that will help our clients accelerate their digital transformation programs through a discovery-led process that is world-class”

With head offices in Boston, London and Bangalore, Soroco has a global presence that allows them to provide task mining, process discovery and intelligent process transformation solutions to clients no matter where they are located.

“Streamlining processes helps companies harness the power of automation,” says Vijay Thomas, CEO of Tangentia. “Our partnership with Soroco will make it even easier for us to empower our clients to fill in technology gaps, lower costs and increase productivity by helping them turn unstructured task and process data into insights they can use to improve processes companywide.”

Samson David, CEO of Soroco said, “We are happy to partner with Tangentia who are a leading boutique consulting, technology, and outsourcing firm with global presence. Our partnership would help bridge the most challenging technology gaps for their customers in e-commerce, supply chains, and various industries and help them accelerate their automation and digital transformation programs by discovering their work graph.”

Tangentia and Soroco share the same strategy of building a partner network that will allow them to bring the world’s leading automation software and service providers together to ensure their clients have access to cutting-edge solutions

Tangentia’s think global, act local approach to their solutions, combine with nearly 20 years of experience in digital technology, allows them to help clients across numerous industries simplify their relationship with technology and accelerate their adoption of automation. Click here to learn more about Tangentia Automation.

About Tangentia

Since 2003, Tangentia has been at the leading edge of the technological revolution, helping clients simplify their relationship with technology. Based in Toronto, Canada, they also have offices in New York and Goa, making it possible to reach clients across the globe and across industries.

About Soroco

Soroco is on a mission to discover how the world works to help teams be their best. To do this, we are evangelizing and commercializing the “work graph”, which is a structured view of how teams get work done across people, process, technology, and documents. The “work graph” unifies disjoint categories like Process Mining, Task Mining, user training, BPM and RPA to provide a single source of truth. Teams can use the work graph to identify and resolve sources of friction at work, such as technology impediments, poor process design, opportunities for learning and collaboration, among others. Soroco’s work graph platform, Scout, enables a culture of continuous improvement and identifies benefits from applying a portfolio of change levers, delivering targeted change programs at scale. Soroco has offices in Boston, London, and Bangalore with a roster of Fortune 500 customers across 30 countries. Our team has published 150+ papers and patents. Visit www.soroco.com to learn how we help teams discover their work graph.

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.

Navigating Global Supply Chain Challenges with RPA

Navigating Global Supply Chain Challenges with RPANavigating Global Supply Chain Challenges with RPA

Navigating Global Supply Chain Challenges with RPA

It has been difficult to ignore the global supply chain issues that have plagued us over the past two years. People who want to buy a new car are facing delays due to a shortage of semiconductor chips, possibly lasting into 2023. Grocery stores in Canada and the U.S. have empty shelves as they struggle to stock the necessities consumers need.

The reality is that the global supply chain has been affected from end-to-end by the COVID-19 pandemic and it is taking its toll. Fortunately, Robotic Process Automation (RPA) can help us navigate and mitigate these challenges to ease the burden on manufacturers, suppliers, businesses and consumers. But before we get into that, let’s take a closer look at the supply chain issues facing the world today.

The Complexity of the Supply Chain Issues

The world’s supply chain issues stem from many contributing factors that are interrelated, forming a complex web of cause and effect that can be felt across the globe and in every industry. At the heart of these supply chain issues is COVID-19. Prior to the emergence of the Omicron variant, COVID was already wreaking havoc on the global supply chain—Omicron made it worse. Here’s how:

Labor shortages

Labor shortages have occurred along every point of the supply chain, from the collection and creation of raw materials, to the factory floor, to shipping and distribution, and finally, to the sales floor. The Omicron variant of COVID-19 has amplified theses shortages, leaving industries without enough staff to keep goods flowing.

Ghost orders

Businesses that are concerned about getting the orders they need from their suppliers, are placing what are called “ghost orders.” Vendors will place the same order with multiple suppliers in the hopes that one of them will come through with a delivery. This creates a false level of demand for these supplies.

Panic buying

With empty shelves becoming increasingly common, consumers are keeping a sharp eye on stock levels. When an item comes in, shoppers will snap them up quickly, once again clearing the shelves and perpetuating the cycle of panic buying.

Bottlenecks

During times when goods become available and need to be transported, seaports become jammed with cargo ships and distribution centers fill up with trucks waiting to load and offload their cargo. The result is a bottleneck as shipments move slowly, causing further delays on goods that are desperately needed in stores and through online vendors.

Lack of data

Many businesses do not have the data they need to accurately predict demand and potential shortages. For example, at the beginning of the COVID-19 pandemic, the automotive industry expected a decreased demand for new vehicles. They canceled orders for semiconductors, only to find that demand was far higher than they anticipated.

How RPA Can Make a Difference

RPA is perfectly poised to help ease the burden of supply chain issues on businesses. By automating tasks that would take humans hours to accomplish, speed and productivity increase, human error is eliminated, and the supply chain can move more quickly.

This cost-effective solution can also help improve the supply chain through:

  • End-to-end visibility into the supply chain
  • Real-time flow of information
  • Rapid response

RPA can help provide visibility into all parts of the supply chain and it can be integrated with relevant supply chain systems. This makes it possible for a business to view the state of each part of their supply chain, as well as their operations and inventory, the current state of the market, and market forecasts.

The ability to gather this information in real-time and the use of artificial intelligence (AI) to analyze it, makes every part of the supply chain transparent and makes it possible to accelerate supply chain operations and facilitate business continuity.

As an example, consider the manufacturing industry. RPA provides manufacturers with access to a complete and accurate inventory of raw materials required in their manufacturing, which will allow them to determine the risk associated with each component of the products they manufacture.

They can then make realistic predictions as to when certain components will become available and develop a manufacturing schedule accordingly. This information can then be passed up the supply chain, influencing distribution and delivery schedules.

COVID-19 is still with us, and it will continue to affect the supply chain for months to come. But RPA can help ease the burden and increase the efficiency and agility of the supply chain to minimize the impact of the pandemic.

Reach out to one of our team members at Tangentia and discover how we can work with you to create a customized RPA solution to meet your supply chain needs.

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.

Process Mining Defined | What It Is, How It Works, And What It Can Do For Your Business

Process Mining DefinedProcess Mining Defined

Process Mining Defined | What It Is, How It Works, And What It Can Do For Your Business



Legacy business process management is obsolete.

Not that it worked particularly well to begin with. Per The Harvard Business Review, too often when reengineering a process, businesses fail to focus on how the process currently performs. While charting out the way they want things to work, they lose sight of the inefficiencies, bottlenecks, and performance problems within their existing ecosystem.

On the opposite end of the spectrum, there are the businesses that embroil themselves too deeply in analyzing their existing processes. In the absence of any effective process management tools, they spend inordinate time and resources on interviews and qualitative observation. The end result is the same.

Nothing gets done.

Even in organizations where roadmapping and analysis are well-balanced, there is a lack of visibility. A lack of connectivity between processes and the business's enterprise information system. Process mining represents the solution to that problem.

What Is Process Mining?

Process mining is essentially the intersection of data science and business process management. The basic idea is that in a modern context, every business process leaves behind a series of digital footprints. Although these are not always visible to data scientists, these footprints can functionally serve as 'breadcrumbs' through which an organization can gain a more complete picture of how its processes and systems intersect.

Process mining isn't actually a new idea. Although the technology to enable it only recently became available, it has existed as a theoretical field of research for over twenty years. The concept was first introduced in 1999 by Will van der Aalst, a Dutch computer scientist who is widely regarded as “the godfather of process mining.”

How Does Process Mining Work?

Process mining can typically be broken into six stages. Note that not every process mining platform applies all of these techniques.

  1. Ingestion and Orchestration. This is where the 'mining' in process mining takes place. Specialized algorithms are used to extract data from business information systems. This data may take many forms, including event logs, audit reports, transaction records, and customer support tickets.
  2. Discovery. The process mining platform leverages the consolidated data from the first step to create models of each process being evaluated. Referred to as process graphs or process maps, these are frequently interactive and explorable, and in some cases may include multiple process paths.
  3. Conformance. As processes are charted out, the algorithm references an intended process model, flagging any deviations so that they might be addressed. Insights from conformance may also be used to improve the existing model, a process typically referred to as performance mining.
  4. Analytics. The platform applies a range of different metrics to its process models, which may further assist in identifying root causes for the application of targeted fixes. This also allows a business to determine the impact each inefficiency has on business outcomes, and by association the return on investment that may be gained by optimizing that process.
  5. Benchmarking. By creating a digital twin of the process, the business can explore multiple scenarios to determine the most effective model. They can also benchmark this twin against their existing process, or leverage an external process model for the same purpose.
  6. Application. The final step is for the business to apply the insights generated in the previous five steps. This is typically best achieved as part of a greater business optimization initiative.

It's important to understand the process mining is ongoing. It is not a project that one can simply mark as finished and forget. There will always be new efficiencies to discover, new bottlenecks to address, and new opportunities to leverage.

What Are The Most Common Use Cases for Process Mining?

Typically, process mining is most commonly applied for one of the following purposes:

  • Human Resources. Improving recruitment, hiring, and onboarding practices. Optimizing employee management, including training, compliance, and performance tracking.
  • General Business Operations. Optimization of common business processes such as report generation, account creation, and approvals.
  • Finance. Enhancing procurement, improving invoice and payment processing, and identifying opportunities to reduce overhead through automation.
  • Software Delivery. More efficient lifecycle management, migration, and deployment. Greater visibility into testing and development.
  • Information Technology. Optimizing network operations, server management, and security controls. Running simulations to ensure more efficient deployments, particularly in hybrid environments.
  • Support. Identifying bottlenecks in ticket routing, and ensuring more effective, efficient resolution for both internal and external support requests.

What Are The Benefits of Process Mining?

The first, most obvious benefit of process mining is that it provides direct, objective insights. It looks 'below the hood' of a business, automatically mapping each process from tangible data. In addition to being less biased, process mining is considerably more accurate than legacy techniques such as surveys or workshops.

The second major benefit is tied to automation. Compared to legacy business process optimization, process mining is significantly more efficient. Because it doesn't require any manual work, this also means it's more cost-effective, as well.

Most process mining platforms also run without interrupting existing systems and processes, meaning you needn't worry about interrupting workflows or having to implement any complicated workarounds.

The application of process mining, as one might expect, can also improve a business in a multitude of ways:

  • Standardization of business processes
  • Improved accuracy, revenue, and outcomes through business process automation.
  • Reduced lead times and reaction times when dealing with customers.
  • Address noncompliance in real-time and analyze audit data more efficiently.
  • Identify bottlenecks and address process conflicts.
  • Eliminate redundant workflows.

Data-Driven Decision Making

Business process optimization has long felt like an uphill battle, but it no longer needs to be. With the advent of process mining, businesses can leverage data science and analytics to gain a level of visibility into business operations which would have previously been impossible. And through that visibility, they can make better, more informed decisions.

And more importantly, they can do so in a way that allows them to clearly demonstrate their efforts to senior leadership, both justifying their budget and providing executives with peace of mind.

Get Started on Your Digital Journey Today

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

Monthly Tangentia Byte January 2022

  • Tangentia Byte January 2022Tangentia Byte January 2022

    Monthly Tangentia Byte
    January 2022

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We’re proud to announce that Tangentia has been certified as a Great Place to Work by Great Place to Work® Institute (India).



The Future of Chatbots: How Conversational AI Presents Game-Changing Opportunities.
As more people gravitate towards online shopping, digital business transactions, and overall digital integration into everyday life, businesses will feel more pressure to upgrade their chatbot technology if they want to stay ahead of the game, consumer trends, and more. Read this article to more about the chatbots of the future.


Blog Article:
eCommerce Integration a Top Tech Trend to Watch in 2022
The shifting expectations of consumers and employees, fueled by the increase in hybrid and remote work environments and online shopping over the past couple of years, demands solutions that make working and shopping easier than ever.
This has given rise to predictions for the top tech trends in 2022.



eBook: The State of RPA in 2021-Benefits, Current Trends, and What the Future Holds in 2022
Businesses of all sizes are exploring how RPA) can make an impact within their organization. Download the eBook to learn what trends are driving RPA adoption forward and other key insights into RPA solutions for 2022.


Agile Product Engineering
that will Transform the Way You Develop Apps and Platforms
There is a greater need than ever before to get digital products into the hands of customers quickly. Agile product engineering makes this possible by using an end-to-end iterative process designed.


As a part of Tangentia’s ‘Ghar Wapsi’ Talent Hunt Strategy Plan, we are presenting the opportunity to aspirants to return to their roots by working with us. Tangentia has been digitally transforming businesses since 2003 and presents numerous opportunities to accelerate the careers of those interested in RPA, AI, EDI, and Digital.


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Tangentia Jigyasa 2022- Business & Technology Quiz
Tangentia Jigyasa 2022 is a national-level business and technology quizzing event held every year. Celebrating the success of the last 5 seasons, we are back this year to highlight and reward the smartest technology and business minds among college students and corporate professionals in India. 
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eCommerce Integration a Top Tech Trend to Watch in 2022

eCommerce Integration a Top Tech Trend to Watch in 2022eCommerce Integration a Top Tech Trend to Watch in 2022

eCommerce Integration a Top Tech Trend to Watch in 2022

Technology has always evolved to adapt to a changing world and the changing needs of the people who live in it. That fact couldn’t be more evident than it has been in the past few years.

The shifting expectations of consumers and employees, fueled by the increase in hybrid and remote work environments and online shopping over the past couple of years, demands solutions that make working and shopping easier than ever. This has given rise to predictions for the top tech trends in 2022.

Tech Trends to Watch

Boomi’s 2022 Tech Trend Predictions outlines the top tech trends to follow in 2022. These tech trends include:

  • Low-code solutions – With IT staff and skill shortages looming large in the tech industry, the need for low-code solutions to accomplish digital transformations is a must.
  • Automation – Automation will be taken to the next level in 2022, relieving employees from performing manual tasks that are time-consuming and prone to error and lowering operational costs across industries.
  • Integration in the workplace – The need to work remotely a significant amount of time and The Great Resignation, both driven by the COVID-19 pandemic, has resulted in the need to develop data-driven processes and onboarding that will ensure better employee experiences.
  • The customer experience – Organizations that do not make use of integration to create a superior user experience will lose ground to their competitors.

With these trends in mind, let’s take a closer look at integration and the customer experience, particularly when it comes to ecommerce.

The Need for Integration in eCommerce

There is no industry where speed is more important than in the ecommerce industry. In the past 10 years, consumers have come to expect immediate connectivity and service at lightning speed. The COVID-19 pandemic has only increased the expectations of consumers as more and more people have turned to online shopping.

In the U.S., 52% of people are shopping more online, including grocery shopping, a domain that was once strictly a brick-and-mortar shopping experience. The UN reports that globally ecommerce has grown into a $2.9 trillion industry thanks to the pandemic.

What this means for ecommerce companies is that integration is critical to maintaining market share. This is just as true for brick-and-mortar retail companies that have an online presence as it is for strictly online ecommerce businesses.

The goal behind integration is to connect systems within your company, as well as integration your own systems with those of your partners. This includes not only your ecommerce platforms, but all supporting applications, such as inventory management, CRM, content management, digital marketing, and financial information. This will ensure that you are able to:

  • Improve data accuracy
  • Increase the speed of data exchange across systems
  • Keep your platform up-to-date
  • Provide customers with a more personalized and customized experience
  • Sync inventory in real-time across all sales channels
  • Streamline and simplify business processes
  • Improve scalability as sales volume and the number of sales channels grow

The result of this integration is that customers will be able to shop whenever and wherever they are and via any channels they wish. They will experience a seamless purchasing process and receive instantaneous communications and timely updates on orders so they will always know their status, thanks to:

  • Real-time inventory tracking
  • Instant order processing and fulfillment
  • Real-time status updates and alerts

However, in order to make this a reality, your ecommerce integration has to be of the highest quality.

Top-Quality Integration

The very best quality in ecommerce integration will ensure that your finances and inventory processes are all automated and fully integrated with your ecommerce platform. Boomi offers the first 100% cloud-based platform and is an industry leader in integrations.

Boomi’s simple, instant integration between on-premise and cloud systems requires no coding, and you will have your automation up and running in no time, with pre-built solutions that help accelerate ecommerce integrations.

What this means is that you don’t have to invest heavily in IT to implement full integration. Instead, you will have easy access to your integration platform without the need to install or maintain additional software or hardware.

Tangentia is proud of our partnership with Boomi, which will allow our customers to build faster integrations and reduce the time they spend on development by weeks or months, enabling a quicker digital transformation.

Reach out to an experienced Tangentia team member today for more information on how to enjoy the full potential of Boomi.

Get Started on Your Digital Innovation Journey Today

Contact us for more information.

An Introduction to Mobile Application Development

An Introduction to Mobile Application DevelopmentAn Introduction to Mobile Application Development

An Introduction to Mobile Application Development

Mobile application development is the process of designing and building software for use on mobile devices. A mobile application can be pre-installed or downloaded from an app store or mobile web browser. The application must have a network connection to a remote server or computer, which is facilitated by an application programming interface (API).

Mobile Application Platforms

Most mobile applications are developed for two main smartphone platforms—the Android operating system and Apple’s iOS. While Apple creates its iOS exclusively for its own iPhones and other mobile devices, Google develops the Android system so that it can be used on devices other than their own.

Each of these platforms requires different software development kits (SDKs) and each uses different development tools. It is common for developers to develop mobile applications to be compatible with both Android and iOS.

Types of Mobile Applications

There are four types of mobile applications that are typically developed, each of which comes with advantages and disadvantages. They are:

Native Mobile Applications

Native mobile applications are developed strictly to be run on the operating system of the target device, whether that is Android or iOS. This means they are developed using the programming language and frameworks that are provided by Google or Apple.

These applications offer the best runtime performance, plus they provide direct access to the APIs of the device. However, they cost more to build and maintain and there is more than one code-base for each platform, making it more complex and requiring a highly specialized skillset to develop.

Cross-platform Native Mobile Applications

These are mobile applications that are initially developed using multiple programming languages and frameworks but are then assembled specifically to be used on a specific operating system.

With a single code base that can be used for multiple platforms, this is a more versatile option. The applications are easy to build and maintain, but there are limitations to their performance because of the need for bridging and the use of libraries for native device features.

Hybrid Mobile Applications

These are mobile applications that are developed using standard web programming languages, such as HTML5 and JavaScript. Once created, they are bundled into app installation packages. They can then operate on a web container that makes it possible for the app to run on a browser and on native devices via an API.

The code base for these mobile applications is shared between the app and the web. This means mobile applications can be built using a web development skillset. However, these applications come with lower performance when compared to native applications. There is also limited support when it comes to native device features.

Progressive Web Applications

Progressive Web Applications (PWAs) are web applications that are fully available via a web browser. This means they are not available via an app store and there is no app installation required. The experience is just like using a true application, but with the benefits of operating via a browser, such as running background processes and linking to the home screen of the device.

This type of mobile application provides the most flexibility because the same application can be used on a mobile device and on the web. Plus, there is no installation required. Instead, the app is available via a URL. Again, this type of application offers limited support when it comes to native device features and the capabilities of the app are browser dependent.

Mobile Application Development Lifecycle

Mobile Application Development Lifecycle

Mobile applications rely on two core components—the mobile application itself, known as the “front-end,” which is integrated with the cloud-based “backend.” The backend supports the mobile front-end, supplying it with the data required to run and comply with user requests. Communication between the backend and the front end takes place via APIs.

In most cases, a mobile application programmer is a person with the skillset and knowledge to develop the front-end application that resides on the user’s device. The development of the front end can be done by a single person or a team of people. The application development lifecycle is comprised of the following steps:

  • Development
  • Testing
  • Release
  • Monitoring
  • Analysis

These steps are repeated as necessary until the application is running smoothly.

In many cases, the backend services are provided by a third party. Only when the mobile application backend is highly specific to the application domain and there are intellectual property concerns will mobile application programmers build their own backend. When it comes to the backend development lifecycle, it is similar to that of the front-end, as follows:

  • Development
  • Testing
  • Release
  • Monitoring
  • Analysis

There is also a new method of application development known as low-code app development.This is a method of developing applications that make it easy for people with little coding experience to build an app using a highly visual drag-and-drop interface. The benefit of this ethod of application development is that non-IT people can easily develop apps with very little knowledge of coding, taking the pressure off IT teams and helping minimize IT backlog.

Mobile Application Development Services

Mobile applications require many different services that can be supplied by a third party, making the development process easier. These include:

  • Management of user sign-up/sign-in
  • Social media login
  • User engagement/analytics
  • Push notifications
  • Real device testing
  • Cloud storage
  • Offline and real-time data
  • Cloud functions
  • Application logic
  • Conversational bots
  • Speech recognition
  • Video and image recognition

Reach out to a Tangentia team member today to learn more about how we can help you excel at mobile application development, so you can deliver the applications your users want.

Get Started on Your Digital Journey Today

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

The Future of Chatbots: How Conversational AI Presents Game-Changing Opportunities

Conversational AIConversational AI

The Future of Chatbots: How Conversational AI Presents Game-Changing Opportunities

Artificial intelligence doesn’t just exist in the world of science fiction anymore. As this revolutionary technology continues to advance, so will many parts of everyday life and how we interact with digital cyberspace.

In 2020, Analysts reported an estimated global chatbot market size of US$430.9 million and expect the market to expand at a compound annual growth rate (CAGR) of 24.9% by 2028. One of the biggest drivers of this growth is the rapidly increasing adoption of customer service activities among online enterprises and e-commerce businesses to reduce operating costs.

As more people gravitate towards online shopping, digital business transactions, and overall digital integration into everyday life, businesses will feel more pressure to upgrade their chatbot technology if they want to stay ahead of the game, consumer trends, and more.

The Chatbots of the Past

Chatbots, at their most basic level, are interactive platforms developed using either a set of rules or more recently, artificial intelligence (AI) technology.

The function of chatbots is simple. They are designed to interact with humans through messaging and textual conversation processes to help troubleshoot technical problems, answer questions, and aid in site navigation across various sectors.

Some current chatbots still exist in relatively technological infancy. Using built-in scripts to display an illusion of intelligence in answering user questions has led to increasingly frustrating problems that demand more complex solutions.

While older chatbot builders were designed to simply imitate human interaction, they are limited in their ability to capture the nuances of human conversation and provide the value-added scope of what chatbots can do for customers and users everywhere. But that’s where conversational AI comes in.

The Chatbots of the Future

The first generation of chatbots served a useful purpose in making customer service more accessible. However, their technological limitations and inability to handle complex human language, intents, and other aspects of communication have paved the way for conversational AI.

Through innovations like the third generation of Generative Pre-Trained Transformer or GPT-3, chatbot developers are using internet data to generate numerous types of text. Deep learning neural networks opposed to set scripts allow conversational AI to encompass billions of machine learning parameters that have users thinking they are speaking to a real human.

Frontrunners in this space include companies like Tangentia, which provide businesses the industry expertise in automation and chatbot builders that integrate complex technological functions. The TiA Chatbot is a conversational AI chatbot that forms a core part of the Tangentia Intelligent Automation (TiA) platform. Combining intelligent voice capabilities, analytics, and reporting dashboards, RPA integration, and more, this chatbot offers customer service of the future.

Additionally, markets like intelligent virtual assistants (VA) also have been increasing their reach for AI technology and AI-powered chatbots. Like consumer-focused enterprises, conversational AI makes it possible for each student to individualize their on-campus and academic experiences.

The increased accessibility, personalization capabilities, and language comprehension using this technology have completely changed the game of VA and the future of chatbots.

What Enhanced Conversational AI Means for the Customer Experience

With conversational AI chatbot technology advancing quickly, its improvement and innovation benefit both consumers and enterprises. Investment in this technology helps give digitally-driven businesses a leg up on the competition and provides more intuitive and user-friendly functionality for consumers seeking solutions to simple and complex problems.

Here are just a few of the key benefits of conversational AI chatbots:

Customers Get Answers Faster

Chatbots use popular phrases and searches to generate answers that consumers need to obtain. Using aggregated data from each user, conversational AI builds on its bank of phrases and keywords to develop faster responses and more understanding of the nuances in language and communication. When consumers expect perfection in the age of digital automation, conversational AI chatbots push businesses and companies closer to 100%.

Increase Personalization of the Customer Experience

Current, simple script chatbots function well in deflecting straightforward, commonly asked questions that have an obvious response.

However, when more complicated problems arise, they fall short. Investing in more intuitive and complex chatbot technology integrates with other business systems to create a more streamlined customer experience. Without the need to cycle through a list of relevant words, conversational AI gets customers where they want to go more effectively.

Smarter Chatbots Means Enhanced Customer Satisfaction

The biggest economic upside to conversational AI-driven chatbots is that they learn. As they bank customer interaction information over time, they’ll continually analyze that data and turn it into meaningful insights. Learning how humans use language and alternative communication styles keeps track of what works and what doesn’t in each interaction they have.

Every interaction is more data businesses and companies can use to create a more efficient and user-friendly chatbot. As the e-commerce market continues to rapidly expand every day, making sure potential customers find the solutions they need when they need it can make or break a sale, or determine if consumers continue coming back to your site.

Get the Competitive Edge With Conversational AI Chatbots

As digital transformations continue to advance, it has become harder to ignore how consequential the chatbot industry’s role is in dictating how businesses and consumers interact.

Chatbots hold the keys to the potential success your business has in the online marketplace. As the future of Artificial Intelligence, conversational AI creates a distinct personality that feels more natural in how it speaks.

Chatbot development helps businesses take extremely valuable data from traffic already feeding through business pages, and uses them to create customer service that works. In a type of Turing Test, customers get a more fluid back-and-forth instead of the traditional robotic response that can be frustrating to navigate. At the end of the day, customers want the perfect answer instantaneously and conversational AI chatbots create a future where that is possible.

Work With Professionals Who Know Digital Transformation Best

It's up to businesses and companies to consider the necessities of chatbots when building their e-commerce presence. However, without innovation in the digital age, businesses may get left behind.

Working with Tangentia can give your chatbot that competitive edge with conversational AI and innovative chatbot building. As an industry leader in Agile Digital Transformation for Automation, B2B, chatbot building, we work directly with businesses of all sizes to achieve simple solutions to complex technological tasks.

Contact Tangentia today for more information and to schedule a POC on building a conversational AI-powered chatbot that will take your customer service experience to the next level.

Get Started on Your AI 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.

Monthly Tangentia Byte December 2021

  • Monthly Tangentia Byte
    December 2021

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We at Tangentia wish you and yours a Merry Christmas and a joyous and safe holiday season.



eBook: The State of RPA in 2021-Benefits, Current Trends, and What the Future Holds in 2022
Businesses of all sizes are exploring how RPA) can make an impact within their organization. Download the eBook to learn what trends are driving RPA adoption forward and other key insights into RPA solutions for 2022.


eBook: Process Invoices Automatically to Drive Efficiency, Reduce Costs & Errors
Read this eBook to find out how a leading organization like Hitachi Vantara leverages AI-powered RPA to automatically process over 80,000 invoices, achieve 75% straight-through processing, and 100% reduction in errors.



Embrace RPA Now to Remain Competitive
Enter RPA, automation software that uses software bots to perform individual tasks and end-to-end processes, improving productivity while taking the processing burden off of human workers.


Top RPA Tools Every RPA Developer Should Know
Saurav Revankar is part of the Marketing team at Tangentia. Read this article written by him to know what are the top RPA tools every developer should know as per the industry demand.


As a part of our ‘Think Global, Act Local’ strategy, we are accelerating our expansion into the U.S. market. The expansion comes with the promise of creating more job opportunities for aspiring candidates, who want to be a part of the dynamic and fast-evolving automation and artificial intelligence industry. We welcome George Bennett who has joined Tangentia America as VP of Business Development who will be based in Phoenix, Arizona. Anna Thomas who heads Tangentia PMO globally and is based in Atlanta, Georgia will be leading the US expansion along with George. Read all about the expansion of Tangentia America.
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Staring at the Bot

Staring at the BotStaring at the Bot

Staring at the Bot

Shrigouri Jumnalkar

Author: Shrigouri Jumnalkar

Have you ever created something on your own? You're completely obsessed with it and you treat it like it is one of your expensive possessions? Yes ! Me too. I am Shrigouri Jumnalkar working as an RPA/AI Developer in Tangentia India Private Limited and I am going to pin down my experience of Automating my first end to end process for one of Tangentia's Clients.

To begin with all the how's and what's, let me give you some information on what Robotic Process Automation is about. It ain't magic ! It is a very calculated and planned approach on making a process work from its input to its output stage. We become aware and take note of the smallest steps that a human would take while working on any process , it could be as small as copying and pasting a text from one place to another or as big as processing a million lines of data leading to a full fledge documentation for Bank Transfer, Production Orders or Invoice Generations.

Coming back to my relation with the first project here at Tangentia. I can call it a “Love Hate Relationship”. It was quite challenging. Everything in it was dynamic, something that worked today and gave me a good night sleep just decided to completely fail the next day and I am back to the owl mode. Yes, there are seniors to help me out and managers to handle the situation , but how could I stay calm until it's fixed? I JUST COULD NOT STOP ! I was so obsessed and kept breaking my head on every smallest change. The rush is unreal. It sounds so exaggerated right now but my RPA buddies are going to back me up on this and it's no secret that we sometimes know exactly where it's going to fail. We are ready with a “Jugaad '' as we Indians call it. The same “Jugaad” either works wonders or creates a bigger blunder.

One fine morning when it actually works, you are really proud but you're biting your nails staring at the screen with the other hand placed on the mouse. Ready to pause the bot run even if you sense a small discomfort on the screen. You keep looking at it forever even though the main purpose of its creation is to work on its own. You are so offended when someone calls it an easy task and you're on cloud nine when someone appreciates it. I am glad I am a part of a team where I actually get appreciated. Sometimes you are so surprised with how an error gets handled smoothly as if it were some magic, forgetting the fact that you were the one who put up the code in the first place. You watch the whole run over and over again (I watched it for 6 hours straight.LOL).

Yes , I did get assigned to another project eventually, but my first project will always be a special one to me. Although I sometimes just wanted to type “ctrl+A” and “delete” making it vanish from my eye, I would never miss a chance of “Staring at the Bot” every day and night.

Are you someone who enjoys building the bots and staring at them, then Tangentia is a place for you. We have a huge opening for RPA developers. Check out the careers page and apply.

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.

Top Job Roles in RPA Technology

Top Job Roles in RPA TechnologyTop Job Roles in RPA Technology

Top Job Roles in RPA Technology

Saurav Revankar

Author: Saurav Revankar

The digital world is seeing the rapid growth in RPA technology as well as RPA career opportunities. RPA is one of the top business opportunities that organizations will come across and automation experts are now joining the RPA movement to help them manage growth, risks, and costs.

RPA enables businesses from all verticals to automate repetitive tasks which helps freeing IT staff up to work on more value-added projects that drive real business value. RPA technology automates repetitive tasks by analyzing user actions using pre-built rulesets, which means users can quickly automate quite complex processes on a low-code platform.

There are not many people who have experience in RPA so it's easy for companies to build teams around RPA with fresh faces that are capable of RPA. RPA is an evolving technology with many exciting new technologies entering the market all the time. RPA developers need to constantly keep up-to-date with technology trends if they are to remain relevant in this competitive market.

Job Roles

There are different roles involved in making a project ready to deliver to the client, so here are four important roles:

RPA Developer

RPA Developer is responsible for developing code for RPA projects using RPA tools such as Automation Anywhere, UiPath, BluePrism, etc. RPA Developer is a member of the core automation team and the developer is required to communicate across teams to ensure that the flow of the code is in sync if multiple developers are working on the same project. RPA developers are expected to have problem-solving and programming skills to solve day-to-day problems. A developer should have knowledge of any programming language to make learning RPA easy, also he/she should have the ability to integrate different technologies.

RPA/AI Lead

AI lead is involved in many things such as building competency tools, exploring different tools for development or tools which can be integrated with RPA tools such as UiPath, Automation Anywhere, etc. AI lead is also responsible for building solutions for projects and training people. AI lead is a center of the automation team with tasks involving discovering projects with clients, setting best practices during getting projects ready, assigning tasks to developers and guiding them during the development phase, reviewing code once it is completed. AI leads might be also involved in pre-sale activities which include handling RFPs, providing POC to clients, and showing clients working demos.

Business Analyst

A business analyst works with customers, managers, and technical personnel to develop system requirements that ensure that work processes are effective. Business analysts understand the needs of clients as well as the capabilities of the organization. The business analyst analyzes organizational goals, needs, values, capabilities, and constraints to help design current workflow models as well as future ones. A business analyst is also responsible for the documentation of projects which may include creating flow diagrams as well to understand the process.

Technical Support

The technical support person is responsible for day-to-day monitoring and scheduling RPA bots in production. This role requires a good understanding of bots and its working. The support person should technically do the analysis and evaluate the business incident. They are also responsible to provide effective solutions by interacting with the business/client team. The support person is expected to create and maintain documentation of daily health checks and troubleshooting of bots. The role also includes testing of bots in the QAT environment, whenever any changes to any applications are done.

Many businesses are looking for opportunities to automate their manual processes, and RPA is a perfect choice for them. As the trend of the RPA is increasing, companies are also looking to hire new faces for different RPA roles. If you are interested in making a career in RPA then Tangentia is a perfect place to learn and grow.

Check the Tangentia careers section and apply for any suitable positions or send your resume at careers@tangentia.com

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.