RPA Software

Organizations today are increasingly adopting new age technologies like IoT, cognitive computing and task-level Robotic Process Automation (RPA) to overcome challenges like reducing total cost of ownership (TCO), increasing workforce efficiency, reducing human error and so on. RPA, in particular, brings the speed of digital to the market while reducing the high cost of employing humans for executing Standard Operating Procedures (SOP). Current RPA solutions tend to benefit human-involved processes with simple tasks and structured data at a high volume. It is anticipated that RPA solutions will continue to evolve to being able to handle unstructured data and complex tasks.
Benefits of using RPA Software

Robotic process automation (RPA) software utilizes bots to automate routine tasks within software applications normally performed by a company’s employees. These products are used to save time and eliminate the need for human employees to conduct time-consuming, repetitive, and tedious tasks.

  • Increased productivity and efficiency
  • Faster and easier implementation
  • Flexibility and scalability
  • Improved regulatory compliance
  • Accelerate time to value: Create, test and deploy new automation schemes in hours, instead of days or months.
  • Reduce human error: Virtually eliminate all copy-and-paste mistakes that result from swivel-chair integration
  • Increase throughput: Complete automated tasks in seconds or minutes, around the clock, to deliver higher value for your customers.
  • Select most appropriate RPA operating & governance model, change management plan, and deployment strategy
  • Assess and prioritize automation opportunities and channel efforts according to current automation rates, transactional volume, and ease of implementation.
  • Build business case and verify its value during a first RPA pilot to secure management buy-in and align key stakeholders.
  • Implement and develop services to create simple screen automation as well as cognitive robots.
  • Our robotic testing can address the profound shift from desktop to mobile computation and make it possible to test more easily test features like UI gestures and sensor input.
  • Frameworks such as Appium, Robotium, and UIAutomator can partly support automatic test execution. However, they rely on human test script design, thereby creating a bottleneck
  • Handheld devices require rethinking what black-box testing really means, including factors such as increased realism, device independence, cost-benefit ratio, and reduced reliance on assumptions.

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Case Studies