Process Mining | Intelligent RPA | Cognitive AI
RPA and AI – Value Proposition & Implementation Approach

RPA and AI – Value Proposition & Implementation Approach

In this article I will touch upon the following topics:

    • Current RPA landscape
    •  Merits of RPA technology
    • What to look for in a Consulting partner
    • Steps in an RPA implementation roadmap

Current RPA Landscape

RPA is making a real impact in enterprise space and empowering knowledge worker by helping them focus on the more meaningful and value-added side of their work and offloading more mundane and repetitive tasks to an RPA powered robot. There is an enterprise workforce revolution underway led by RPA and AI/Cognitive technologies.

What is RPA? RPA stands for Robotic Process Automation. As the name suggests, it is automation of tasks within a business process that are handled completely or in part by a software robot. These tasks are repetitive, rule based and most often are not a good value for human intelligence or time. Therefore, it makes sense to have the robot take care of these tasks. The robot can handle these tasks either in Attended or Unattended mode. In Attended mode the robot works with the user in completing certain tasks while in Unattended mode human intervention is not required.

There is a plethora of solutions provider in this space, each with their own specialty. However, there are three main ones that come to mind. They are – Automation Anywhere, BluePrism and UiPath in alphabetical order. Among these, UiPath is probably the fastest growing since it has recently received funding from big Silicon Valley Venture Capital firms in series C and D rounds.

Going by the interest in RPA technology, even by small and medium enterprises it is not surprising that RPA has gained so much traction and in so little time. Gartner predicts that by 2022 worldwide RPA spending will total $2.4B with an expected CAGR upwards of 30% in the next five years. The industry itself has seen rapid progress with new providers entering market to cash in on this big opportunity. The recent push towards integrating AI solutions with RPA notwithstanding.

So, why is there so much interest in RPA/AI? Is it just hype or is it for real? Should you invest in it or should you wait?

To answer those questions, one has to see the bigger picture and what is shaping at the macro level. Here are some of the trends:

    • Digital Transformation: Traditional businesses are faced with competition from the likes of Amazon, Airbnb, Uber, Google, Microsoft and Facebook to name a few and are forced to change their business models to adapt to the new digital realty.
    • The rise of the omni channel. Consumers are increasingly preferring to do their shopping digitally and interacting with merchants with minimum touch points in a seamless manner across all channels.
    • Digital businesses are able to collect data and actionable insights about their customers in real time and adjust to the market demand accordingly. For example, Uber rates go up if there is a high demand in an area for its cars on account of some event. Similarly, Airbnb is able to hike its listing rates based on the demand in an area.
    • It’s much easier to scale up if you are a digital business. It took much less time for Airbnb and Uber to overtake their traditional counterparts in terms of market size and market cap.
    • Digital business is more efficient, responsive to customer needs and allows cross selling.

So where does RPA fit in this mix. It is the first step in digitizing and automating your business. Businesses are transforming from Traditional to Digital to Intelligent.

RPA is the right technology at the right time. Let’s consider some of its merits.

Merits of RPA

RPA has many things going in its favour:

    • It has matured as a technology in a very short time.
    • It is widely accepted in the enterprise space and almost all CIOs/CEOs have RPA and by extension AI technologies in their digital transformation strategic roadmap.
    • It is non-invasive and can sit right on top of the existing infrastructure.
    • It is fast and easy to develop, implement and deploy.
    • It does not cost as much as some of the promised technologies before it.
    • It can be used to integrate your broken processes and streamline them.
    • It can bridge the disconnect between disparate legacy/internet systems and achieve a high ROI.
    • It is the last mile solution for deploying Cognitive and AI technologies in the enterprise.
    • Its open architecture allows it to integrate with third party solutions. In other words, you can fit in your own in-house solutions and AI/ML models within the RPA solution.  
    • Last but not least a robot is highly productive and does not suffer normal human traits. It does not take breaks, does not ask for a raise, less error prone, can work 24X7X365 without complaining and does not mind doing boring and repetitive work day in and day out.

So, what’s not to like about it? Nothing really if you ask me!!

In my opinion, the biggest value will come from engineering business processes. RPA/RCA will make the business processes faster, less error prone, more intelligent and continuously improving. This will also make the tasks of C-Suite executives easier in making their organizations transform digitally and become more proactive to the changing marketplace dynamics and more responsive to the customer experience. AI will play a vital role in all of this. Some of the areas where AI is already making inroads in enterprise space are in:

1.      Visual Understanding: Being able to understand a graphic and identify the elements

2.      Document Understanding: Being able to understand the document context e.g. extract information from legal contracts, invoices etc.

3.      Process Understanding: Being able to observe user behavior to learn and discover common tasks and processes. Identify processes for automation based on ROI.

4.      Conversational Understanding: Being able to analyze sentiment, chat and voice input and able to route requests to the right team or department and integrate with chatbots and voice.

All this sounds great but as we all know the challenge lies in implementation. So, let’s consider what is involved and how we can go about implementing these technologies. The first step is choosing a right consulting partner. It is very hard to do everything on your own and doing it right is even harder. So, as a first step it is imperative that you choose a right consulting partner.

What to look for in the consulting partner?

Consulting partners come in various shapes and sizes specially those that want to cash in on the flavor of the day. Here is what to consider when looking for the right consulting partner.

    • A strong commitment to client success over their own.
    • Strong brand presence and value recognition.
    • A rich history of past experience in implementing RPA solutions.
    • Knowledgeable resources with certifications in RPA solutions.
    • Strong domain expertise in specialized verticals e.g. BFSI, Healthcare, Telecom etc.
    • A strong partner ecosystem that brings the best of breed solution offering.
    • A delivery model that is global and based on Agile Methodology and best practices.
    • A metrics-based approach to ROI.
    • Good past client references.

Identifying and working with a right partner is the most important and crucial step to ensuring a successful RPA journey. Here are the other steps once a partner is on board.

Steps in an RPA implementation roadmap

Please refer to my earlier article that talks about 4 Key steps to a successful RPA implementation which is available on LinkedIn as well by following here

Please leave your comments or suggestions. Thanks.

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