Dedicated Teams to Handle Exceptions for RPA Implementations
At iNVATERRA we understand that Automated systems and RPA deployments are only as effective as the knowledge systems they rely on. One of the biggest obstacles our clients have to overcome in a Automation rollout is the reluctance of staff to embrace new intelligent systems. We understand the success of an Automation deployment is capturing the exceptions to enable these systems to provide a return on investment.
iNVATERRA builds dedicated teams that are experts in particular business processes to handle exceptions and teach the intelligent systems deployed at in our client organizations and build the system’s ability to automate tasks. Teams are constructed with a focus on communication, transparency and sensitivity required overcome these issues.
During each stages of process automation, iNVATERRA teams articulate support and coordinate between client teams with the single goal of populating the systems with the required knowledge.
Dedicated Exception Handling teams allow our clients to quickly take action to reassign redundant staff or create lean organizations while our teams work to handle the exceptions as they are raised.
Making the entire process more efficient
At iNVATERRA, we encourage our clients to automate processes in a way that ensures they do not remain where they were before. We are firm believers in the fact that organizations that address an inefficient process using an ineffective IT solutions, create more inefficiency. We recommend before automating a process, clients will need to refine it, know everything about it, consider all exceptions, and discuss whether all participants are really necessary and whether there are any redundant steps and will work with our clients to ensure that the refinement process is addressed seamlessly.
Measuring outcomes
Our dedicated teams are aligned with the business goals of our clients and ensure that the measurement of results are consistently benchmarked. We also understand the importance of continuous process improvement when it comes to automated processes, and are flexible in terms of scaling up and scaling down the resource requirements.