Solutions by Technology

Intelligent Document Processing (IDP)

Achieve higher degree of accuracy and coverage in document processing with AI + ML Based OCRs

Document Processing is not just OCR. Real life documents are complex, may not be of good quality, can be semi-structured or totally unstructured and most importantly available in varied formats and templates.

Think of invoices coming from 300 different customers each in a different template and in JPEG, PDF, Email, Excel or other formats. An ordinary OCR based solution cannot achieve beyond a 20-30% success in data extraction.

This is where we leverage Artificial Intelligence and Machine Learning capabilities of Intelligent Document Processing platforms. The AI capabilities help extract data from most kinds of documents and the ML capabilities ensure the system is constantly recognising the rules of extraction making the system sustainable and intelligent for future new documents.

We work with the world’s leading Intelligent Document Processing platforms to deliver end-to-end automation with high degree of data extraction accuracy.

ERP Automation

ERP Automation : The new revolution to truly achieve digitization.

Enterprise Resource Planning tools – ERP run the organisations. They can be in any flavour – On-Prem Enterprise ERPs on huge servers, Cloud enabled ERP services, light-weighted web based applications or legacy desktop applications.

ERP forms the backbone of a company’s operations and hence has to interact with many other applications within the company and externally. Most ERPs do not have native capabilities of such integrations. This in turn is responsible for huge amounts of manual work, many hours wasted in data entry, errors and delays.

True digitization of operations can happen when ERP automation is enabled. RPA with this seamless UI Automation and API Integration can automate any kind of ERP and integrate other applications.

Enterprise grade ERPs like SAP need a special mention as many companies are spending huge manual efforts to keep their ERP operations running smoothly. RPA can be used to automate SAP in every flavour :

SAP WinGUI®, SAP S4/HANA®, SAP SuccessFactors®, SAP BAPI®, SAP WebGUI®, SAP S4/HANA Cloud®, SAP Ariba®, SAP RFC®, SAP Fiori®, SAP C4/HANA®, SAP Concur®, SAP OData®, SAB Business Client®, SAP Hybris®, SAP Fieldglass®

Leading ERP solutions across the globe like : SAP, Oracle, MIcrosoft, SAGE, INFOR, EPICOR, IFS, ACUMATICA, IQMS etc rely on RPA for increased productivity.

Enterprise Business Application (EBA)

Enterprises across the world have been increasingly using various kinds of applications to run the operations smoothly. As the companies grow, so are their applications. But not all applications can integrate with each other and work seamlessly as they are from different technologies, vendors etc.

Business applications can be broadly categorised as below :

  • ERPs: SAP, Microsoft, Oracle
  • Financial Management Systems : Tally, Quickbooks, Workday
  • Business Intelligence : Alteryx, Power BI,Cliq, Tableu
  • Service management : ServiceDesk, SolarWinds Service Desk, Zendesk, Freshdesk
  • CRM : Salesforce, Hubspot, Dynamics 365, Zoho CRM
  • HRMS : SAP, Oracle PeopleSoft, Zoho, SAGE
  • E-commerce systems and online payment gateways
  • Infrastructure (ITES) Management softwares

Core Business softwares like –

Healthcare :Patient management system including Electronic Health Record (EHR) Software,Medical imaging software, research and diagnostic softwares, Hospital management

Education : School/college management ERPs/softwares, Learning Management Systems

RPA can be used to integrate different applications and also to automate manual tasks within a particular application. It is the quickest, most cost effective and simplest way of achieving integration between disparate systems.

Citrix Automation

Citrix is the backbone for BPOs and contact centers, where applications need to be accessed remotely due to security considerations of the customer. Citrix, Hyper V or VMware virtualization support this by streaming the applications as images. We can completely automate such applications non-intrusively through remote access. To achieve this we leverage the advanced computer vision technology of RPA platforms. Common use-cases which can benfit through huge FTE and time saving are : High Volume and repeated Data entry Data scraping Content copying Integration of legacy applications

Mainframe Automation

Mainframe Automation: Bridging Legacy with new age technologies

Mainframe still forms the Infrastructure backbone of many enterprises. They are efficient, secure data stores and reliable workhorses for complex processing.

Meanwhile many new applications have emerged into IT operations of a company making it inevitable for flow of data from the legacy mainframes to and fro to the newer applications and architectures.

We can leverage API and cloud services for data extraction, translation and updation of data to and from the terminals.

Robotic process automation is the most cost effective, quickest and simple solution to this challenge. Without intruding on the existing mainframe, RPA’s software robots act as translators between the older and newer platforms and applications.

Cognitive Automation

Both RPA and cognitive automation make businesses smarter and more efficient. In fact, they represent the two ends of the intelligent automation continuum. At the basic end of the continuum, RPA refers to software that can be easily programmed to perform basic tasks across applications, to help eliminate mundane, repetitive tasks performed by humans. At the other end of the continuum, cognitive automation mimics human thought and action to manage and analyze large volumes with far greater speed, accuracy and consistency than even humans. It brings intelligence to information-intensive processes by leveraging different algorithms and technological approaches.

RPA leverages structured data to perform monotonous human tasks with greater precision and accuracy. Any task that is rule-based and does not require analytical skills or cognitive thinking such as answering queries, performing calculations, and maintaining records and transactions can be taken over by RPA. Typically, RPA can be applied to 60% of an enterprise’s activities.

In the banking and finance industry, RPA can be used for a wide range of processes such as retail branch activities, consumer and commercial underwriting and loan processing, anti-money laundering, KYC and so on. It helps banks compete more effectively by reducing costs, increasing productivity, and accelerating back-office processing.

But the remaining 40% of tasks involve large amounts of data and require human cognitive capabilities such as learning continually, making decisions based on context, understanding complex relationships, and engaging in conversations with others. This is where cognitive automation comes in. Cognitive automation uses specific AI techniques that mimic the way humans think to perform non-routine tasks. It analyses complex and unstructured data to enhance human decision-making and performance.

Key capabilities for cognitive automation

  • Natural language processing (NLP): Even basic language understanding makes it much easier to automate most customer service processes or processes involving contracts.
  • AI based Optical Character Recognition (OCR): Despite increased digitization, a mind-boggling amount of paper is still used, especially in heavily regulated industries like healthcare or banking. Processing these papers are required to automate any process end-to-end.
  • Machine learning: Processes require decisions. If those decisions can not be formulated as a set of rules, machine learning solutions are required to replace human judgement with machine judgement and automate processes.

Cloud Automation

Cloud automation enables IT teams and developers to create, modify, and tear down resources on the cloud automatically. One of the major promises of cloud computing is that services could be used on demand, if and when needed. But in reality, someone needs to spin up those resources, test them, identify when they are no longer needed, and take them down, and this can represent a huge manual effort.

Cloud automation is not built into the cloud; it requires expertise and the use of specialized tools. You can leverage cloud automation tools and capabilities offered by your public cloud vendor (such as AWS or Azure), automation features in your private cloud platform (such as OpenStack or Cloud Foundry), or third party cloud tools that can perform automation in cloud environments (such as Puppet, Chef, Kubernetes, or Cloudify).

Cloud automation requires hard work, but it pays off when you get through the initial pain and gain the ability to perform complex tasks at the click of a button. Beyond the obvious benefit of reducing manual work, cloud automation has additional benefits:

  • Improved security and resilience— when sensitive tasks are automated, you do not need multiple IT people or developers logging into mission critical systems. The risk of human error, malicious insiders and account compromise is vastly reduced. In addition, you can build security best practices into automated workflows, and enforce security principles in 100% of your deploymen
  • Improved backup processes—organizations need to back up their system frequently, to guard against accidental erasure, configuration calamity, equipment failure or cyber-attack. Automating backups on the cloud, or backing up on-premise systems automatically to the cloud, dramatically improves an organization’s resilience to disaster.
  • Improved governance—when systems are set up manually or on an ad-hoc basis, administrators may have low visibility over what is actually running and may not have a centralized way to control the infrastructure. Cloud automation lets you set up resources in a standardized, controlled manner, which also means you have much more control over infrastructure running across your organization.

RPA for Other Technology

VBA for Office: Are you facing a repetitive clean up of fifty tables in Word? Do you want a particular document to prompt the user for input when it opens? Are you having difficulty figuring out how to get your contacts from Microsoft Outlook into a Microsoft Excel spreadsheet efficiently?

You can perform these tasks and accomplish a great deal more by using Visual Basic for Applications (VBA) for Office—a simple, but powerful programming language that you can use to extend Office applications.

Microsoft Visual Basic for Applications (VBA) is the version of Visual Basic that ships with Microsoft Office. Using Excel VBA extends Macros and provides powerful skills to automate Excel. Macros can be useful in Excel and to use Excel for as much of the “heavy lifting” as possible.

The Office suite of applications has a rich set of features. There are many different ways to author, format, and manipulate documents, email, databases, forms, spreadsheets, and presentations. The great power of VBA programming in Office is that nearly every operation that you can perform with a mouse, keyboard, or a dialog box can also be done by using VBA. Further, if it can be done once with VBA, it can be done just as easily a hundred times. Beyond the power of scripting VBA to accelerate every-day tasks, you can use VBA to add new functionality to Office applications or to prompt and interact with the user of your documents in ways that are specific to your business needs.

Python Scripting: If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

Python is an incredibly powerful and flexible open-source language that is used in all layers of the application stack across the technology industry: from data manipulation processing real-time data feeds, to serverless applications processing commands from your personal voice assistant to being a rock-solid, general-purpose language for traditional applications.

Because of this flexibility and breadth of capabilities – extended by its extensive library of plugins – Python is an amazing tool. It can be used to build all the little scripts and utilities that simplify and automate with Python for e.g.:

  • Search for text in a file or across multiple files.
  • Create, update, move, and rename files and folders
  • Search the Web and download online content
  • Update and format data in Excel spreadsheets of any size
  • Split, merge, watermark, and encrypt PDFs
  • Send reminder emails and text notifications
  • Fill out online forms