While some people get nervous at the thought of RPA because of the perceived fear of job loss, it’s good to remember that this solution is implemented and managed by humans – meaning RPA does not work in isolation but thrives under human management and observation. The metrics can vary from one organization to another, but usually includes calculating the accuracy of the output, comparing employee productivity on an activity before and after the RPA implementation, and how the deployment of RPA has affected business operations. It is equally important to check the success rate of the RPA implementation. It is only after this that implementation can begin. Think of it as a “who does what at what point” plan. A framework backed by AI aligns objectives with how RPA can achieve them, and eventually, a decision is taken on the areas of automation.Īny high-performing RPA solution worth its salt rides on a systematic implementation strategy. This means careful consideration of the technical requirements and evaluation criteria. Since RPA solutions are many and varied, the next step involves tailoring to match business priorities. This scoping is crucial because an optimal balance of people, process, and technology make for a great outcome. This involves an audit of existing processes across the business’ operations and departments and identifying which ones can and should be automated, a.k.a. The base of an automation solution is process discovery.
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