Three major trends are reshaping the industry: a major rethinking of outsourcing vs. moving in-house, advanced handwriting recognition becoming mainstream and the increased need and reliance upon data science. This article explores these trends, as well as what they mean to enterprises and their service providers.
Rethinking the Benefits of Outsourcing
Just recently, HFS research published an article on the acceleration of insourcing operations that service providers currently provide. Why is this? One of the primary reasons is the renewed interest in automation. Also, it is the perspective that with automation, reliance upon manual labor is reduced, the outsourced version of which is still the primary business model of many service providers both large and small.
Historically, if an organization wanted to rid itself of low-value, but necessary tasks or processes, the best option was always to outsource these functions to a service provider that could provide the same capability at less cost through economies of scale. With automation, there is the promise of handing over the work to “bots” that can be deployed anywhere and whose costs are not sensitive to typical wage arbitration. A bot costs the same whether it is deployed onshore or in low-cost regions. HFS calls this “going straight to digital.”
Greg Council, Vice President of Marketing and Product Management
When it comes to Robotic Process Automation (RPA) within a digital transformation project, the clear objective is to move all processes into a controllable, fully-automated workflow. This is achievable when processes need to use structured data. However, the most expensive and business-critical processes involve human workflows using complex, document-based information. Achieving the same levels of automation realized from structured RPA-enabled processes becomes much more challenging because the needed information isn’t always easy for a system to locate—much less successfully extract—from a document. Without a precise solution for getting access to document-based data, automation is adversely affected.
Finding the Right Solution
The answer is to approach cognitive RPA projects by understanding the level of “maturity” required with respect to the level of document automation your project requires and compare that with your peer’s experience within your industry.
This includes getting a solid foundation in what are current best practices regarding automation and understanding the various options for injecting document automation into RPA projects. Not all vendors approach a solution in the same way and not all capabilities are equal.
Greg Council, Vice President of Marketing and Product Management
3 Document Automation Trends Reshaping the Outsourcing Industry
Three major trends are reshaping the industry: a major rethinking of outsourcing vs. moving in-house, advanced handwriting recognition becoming mainstream and the increased need and reliance upon data science. This article explores these trends, as well as what they mean to enterprises and their service providers.
Rethinking the Benefits of Outsourcing
Just recently, HFS research published an article on the acceleration of insourcing operations that service providers currently provide. Why is this? One of the primary reasons is the renewed interest in automation. Also, it is the perspective that with automation, reliance upon manual labor is reduced, the outsourced version of which is still the primary business model of many service providers both large and small.
Historically, if an organization wanted to rid itself of low-value, but necessary tasks or processes, the best option was always to outsource these functions to a service provider that could provide the same capability at less cost through economies of scale. With automation, there is the promise of handing over the work to “bots” that can be deployed anywhere and whose costs are not sensitive to typical wage arbitration. A bot costs the same whether it is deployed onshore or in low-cost regions. HFS calls this “going straight to digital.”