Cross-functional Integration

RPA: Is the ‘Proof of Concept’ Not Scaling Fast?

A ‘Proof of Concept’ (PoC) is the customary way to estimate the efficacy of a technology before adoption. In the past five years, RPA has established a promising image. Most organizations use a common route to perform an initial PoC to see that RPA delivers on its promise. The bots created so far are mere prototypes as they are not actively used in the organization.

In this article at Forbes India, Praveen Kombial raises concern over the gradual drop in the levels of RPA initiatives. He says that the PoC of RPA does not seem to scale as fast as it should be and even its value realization seems slow.

Key Issue

The major setback in the scalability of the bots includes limited efforts from the development teams to diagnose and outline the prospects of automation. The author backs his statement by sharing some personal experiences and discussions in the international financial services.

Quoting instance of a global bank, Kombial states that even though automation gave a good productivity lift to the bank’s payment business, yet it did not extend any major benefit to its corporate customers unless they redesigned it. He says, the PoC must focus on quick fixes to succeed and must derive maximum value.


Even though numerous developers claim to offer tools for faster processing, yet only a user interface (UI) based automation solution will not provide end result. Here, the author shares another instance of a US-based mortgage business where Infosys did an extensive work to address their compliance needs for a paper-driven venture.

Even though all the documents were digitized, still, they needed extraction engines supported by machine learning and a deep knowledge of the domain to address their core needs. So, an OCR engine, a workflow, a machine learning engine, and UI automation should work together.

Future Endeavors

Whatever circumstances appear, RPA is the initial stage of a transformation that will influence AI to address business issues and needs. The author suggests initiating meaningful approach that focuses on costs, business improvement metrics, and best possible customer experience. To read the original article, click on the following link:

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