Robotic process automation (RPA) is the practice of automating routine business practices with "software robots" that perform tasks automatically. The “software robots” effectively mimicks user's action on a computer thereby interacting with different software systems at the GUI (Graphical User Interface) or presentation layer. These software robots replace human effort on common, repeatable tasks.

RPA has delivered major benefits to companies across industries from healthcare to financial services. It can multiply the productivity of the human workforce, allowing companies to be more profitable, nimble and innovative.

Robotic Process Automation

According to a recent survey, approximately 30% of human work is spent on highly repeatable low-level tasks. These tasks are optimal targets for RPA automation. Some of the benefits that companies have realized by deploying RPA include :

  • Increase productivity
  • Drive operational efficiencies
  • Focus on the customer
  • Transform customer outcomes / enhance customer experience
  • Create cost savings – Virtual workers are almost 60% cheaper
  • Decrease business risk
  • Optimise existing processes and systems
  • Utilise human talent in better ways
  • Create scalability
  • Empower the business to improve
  • Remove demotivating mundane tasks

Case Studies :

Best candidate processes to target for RPA automation :

  • High volume processes
  • Highly manual processes
  • Repetitive tasks
  • Rules-based tasks
  • Low exception processes
  • Stable processes
  • Low complexity processes

Use cases for RPA :

  • Data entry across multiple systems
  • Rules based processing of data from multiple systems
  • Virtual “integration” of different systems
  • Rules based tasks and decision-making: e.g. transaction processing, reporting and ad-hoc data requests

Use cases for Cognitive/ Smart automation

  • Procurement : Discovering mismatches between contracts and invoices
  • Insurance : Claims processing
  • Customer Service : Omnichannel support – 360 degree customer view

Case Studies :

Smart Process Automation

RPA delivers significant benefits by automating well defined tasks , operating with structured data and rule based decision making. However, 80% of all data is unstructured with majority of decision inference based thereby restricting the process that can be automated using RPA.

Cognitive/ Smart automation is a subset of AI that more closely emulates human abilities. It allows automation solutions to perform tasks and process unstructured data that traditional RPA can’t handle. This massively expands the capabilities of RPA, allowing companies to implement automation in more areas and see significant productivity gains.

Key capabilities of Smart process Automation :

  • Natural language processing (NLP) - Understanding Verbal and written communication
  • Optical Character Recognition (OCR) - Extracting data from invoices , documents
  • Machine learning: Inference based decision making

Approach to Intelligent Automation


  • End to End services from Consultancy , development to on-going support.
  • Development of the Enterprise automation Roadmap
    • Which roles / process to automate ? HOW and WHEN
    • Prepare the organization for transformational change over the next couple of years
    • ROI and establish benefit estimation method
    • Tech breakthroughs and what challenges and opportunities do they present
    • Security Risk
    • People matters
    • Harnessing Data capabilities
  • Extensive expertise both in the process re-engineering, optimization and digitization.
  • Experience in automating complex processes dealing with decision making and unstructured data.
  • Experience in working with leading automation tools
  • Pricing Models : Fixed Bid to Gain share

Virtual workforce Adoption

Elevondata proprietary Bot adoption model ensure smooth transition of BOTS into the workforce.

  • Deployment of Virtual worker without negatively impacting the process performance
  • Establishing governance model for the Hybrid workforce (human and Bots)
  • Management of Virtual workforce – Staffing, Scheduling, Monitoring, Quality assurance and continuous improvement.
  • Upskilling workforce to manage the new environment
  • Change management and redeployment of resources
  • Business Continuity planning
  • Establishing SLA’s with IT for infrastructure and software updates and upkeep

Operational Model

  • Work with the business leadership to establish the strategic intent and benefits from the RPA program
  • Establish Catalogue for In-scope process for robotics processes automation.
  • Assist in tool stack selection
  • Conduct Proof of concept and evaluate results against objectives
  • Process redesigning and optimization
  • Work with business on the acceptance criteria and deployment strategy
  • Development of BOT using Agile and Devops Methodology
  • Automated testing and maturing of Automation
  • Workforce management of the Hybrid/ Virtual workforce
  • Business continuity planning and establish maintenance SLA’s