Risk & Compliance

10 Eye-Opening Facts for RPA Beginners

Robotic Process Automation (RPA) is defined as one of the most disruptive technologies prevalent in the digital era. It enables an organization to automate any business process while improving productivity, compliance, and quality.

The implementation of bots requires careful planning and communication. The firms aiming for RPA implementation are required to master the initial small steps before scaling. In this article at Information Week, Jean Paul Baritugo extends some key guidelines to drive successful RPA upshots.

Critical Analysis

To attain the desired results from RPA, building and deploying bots in the system will not be appropriate. In fact, the author believes that deploying a large number of bots at once will weaken the true potential of RPA. Therefore, it is essential to understand these three kinds of RPA tools:

  1. A simple screen scraping tool that automates discrete tasks like copy and paste data from multiple sources. These automations are developed for narrow use.
  2. A vigorous tool for general usage that drives a majority of implementations like Blue Prism, UiPath, and Automation Anywhere. Typically, this automation imitates the manual process performed by humans. These bots or tools can interact with multiple enterprise systems and are fast to deploy.
  3. The software tools used for the advanced practice of artificial intelligence (AI) and machine learning are RPA tools adopted for unstructured data processing and cognitive heavy processes.

Guidelines for RPA Deployment

  1. If the organization is starting the RPA journey for the first time, consider listing a proof-of-concept to rapidly confirm benefits and identify potential issues before the RPA implementation. This will help in providing valuable insights to fine tune the broader implementation.
  2. Next step would formalize a roadmap to gain senior leadership support for an enterprise-wide
  3. Perform a comprehensive process to determine the total opportunity size and the implementation level of effort, listed in order of priority.
  4. Develop an automation strategy that articulates the vision and rationale of the RPA transformation and the outcomes to achieve. Consider functional appetite, roll out strategy, and select the tool to develop the strategy.
  5. Develop a comprehensive business case that ensures that the total benefits justify the needed investments.
  6. Partner with IT team to ensure that the tools are properly integrated.
  7. Create a future governance and operating model that defines the right governance model to manage the work performed by both human and digital workforces.
  8. Define the support model to assess whether the organization has the necessary skills and capacity to implement RPA. Finally, put a plan and budget in place to build the skills internally over time.
  9. Obtain leadership support to make the case for change based on information gleaned from the previous steps. Ensure benefits and investments are transparent and suitable to attain better executive support with the broader implementation.

Read the original article on the following link: https://www.informationweek.com/software/productivity-collaboration-apps/critical-advice-for-starting-an-rpa-program/a/d-id/1330247?

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