RPA can be implemented in any process or department in an organization regardless of the number of workflows or their complexity. The major challenges that businesses face when adopting an RPA strategy is its alignment with the broad organizational strategy and the inability to prioritize RPA initiatives. Once the potential tasks that can be automated are determined, it becomes easier to make a convincing business case. With an effective plan, governance structure, transparent operating models, and clear guidelines, RPA implementation would be easy and effective. A proper implementation approach with a clear business plan will give full benefits of RPA.
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Stages of RPA Implementation
The Business Analyst gathers the requirements from the client about the process. The process is then analyzed to check whether it can be automated or not in terms of complexity and benefits from automation. The processes are defined, assessed, prioritized and the implementation is planned.
The process is analyzed in depth by the Technical Solution Architect to determine its key steps. Each process to be automated is documented (“as is” and “to be”) in a Process Definition Document or PDD by BA along with test scenarios and environments. The solution design of every process is presented in a Solution Definition Document or SDD and the architecture is created and reviewed.
Development of the Bot
Based on the PDD & SDD, the Automation Developer creates Automation Scripts (bots) using an automation tool such as UiPath or Automation Anywhere. The workflows are tested and validated, and User Acceptance Tests (UAT) are prepared.
Either the development team or the testing team performs the UAT in a pre-production environment to check if the process that was meant to be automated could be used or not.
Stabilize and Deployment Phase
The Go-Live is prepared and the Bot is deployed into the production environment where it can be employed by users. Here too the Bot is checked for any bugs and issues.
Execution & Hypercare Phase
The Bot is executed for its intended functioning, outcomes are measured, and the lessons learned are documented. The Bot is monitored and finetuned further and the changes managed.
Core Functionalities of RPA
- Interaction with other Systems through API Integrations or Screen Scraping
- Information Gathering from Different Systems
- Use of Decision Systems to Determine Appropriate Actions
- Seamless Integration of Front and Back Office Bots
- Enterprise level RPAs Include rich analytical suites to manage and monitor automated functions
- Script-less or no script bot creation capabilities with intuitive GUI
- Effortless creation of bots with easy interfaces
- Source control component to enable control over bot implementation
- Flexibility in deployment across cloud, terminal services, and virtual machines
- Dynamic approach to debugging without stopping the running or replication of the process
- Role-based security and encryption capabilities to assure compliance, internal security and prevention of tampering or interruption in network communications
- Integration with third-party applications such as Microsoft Excel, Internet Explorer, and Citrix to enable easy data extraction
- Use of advanced data extraction tools such as OCR engines for text recognition, deciphering and structuring.
- Application of cognitive intelligence, Machine Learning and AI for decision-making capabilities
RPA Process Automation Checklist
The process should be rule-based and not dependent on human judgement
The process should be initiated by a Presence of Digital Triggers
The process should be supported by digital data
The process should be Stable in all Environments
Greater Volume of Executions Results in Greater ROI
Proactively Plan for Changes in Underlying Systems or Software Versions