Once organizations opt for an RPA solution, at Cloud4C, we do a deep-dive assessment of each process. We identify if the entire process or a part can be automated, and then create and review the architecture required to implement it. We also help choose the right platform (UiPath, Automation Anywhere, iRPA) to implement the solution, by highlighting their capabilities and features, and recommend the one that works best for the organization’s automation needs. Cloud4C team submits the design of the entire workflow based on the analysis for customer approval. We also work with the customer in provisioning the infrastructure requirements, creating a security framework, and mutually define the governance methodology to be adopted for the process.

In the RPA implementation phase, we try to utilize our existing reusable plugins/libraries wherever possible, to optimize development efforts and reduce implementation time. Keeping in view the enterprise framework, hyper-automation, and the complexity of the process, we then integrate those components with the required applications present in the customer landscape. We follow agile methodology and well-established processes, to develop Robotic Process Automation solutions so that we can nurture from early feedback, and be flexible enough to adapt as per the customer expectation.

In the Run & Test phase, we execute the automated process on the RPA platforms and ensure that the business-critical process is available 24*7, producing accurate results. Also, for better quality assurance, we create test plans (in multiple scenarios and exceptions) to validate the components, remediate, and conduct reviews, so that only valid and audited processes make it to production. Before deploying the solution, we ask our customers to perform User Acceptance tests and provide sign off for deployment, ensuring that the application is as per the Business goals.

After deployments, in the Operate and Govern phase, we monitor and remediate any encountered issues during the initial runs to improve the RPA operations. In partnership with our customers, we measure and review the results. We set up a governance model defining roles & responsibilities, policies & guidelines for maintaining the RPA Robots with high availability, plus we also monitor violations. We provide the flexibility to choose Cloud4C maintenance and support, or we enable the customer’s operation team to run & maintain these robots.

The next phase - Learn and Adapt is our key differentiator. Our smart RPA Robots automate not only repetitive or rule-based tasks, but also use Artificial intelligence to learn from exceptions, caused due to changing scenarios, enabling auto-remediation. They quickly adapt to any changes in the existing process, identify the opportunities, and provide insights for further automation, by using task and process mining. In addition, leveraging the RPA+AI technology and using trends, we can also empower Robots to make smart decisions, thereby reducing human intervention for handling exceptions.