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Our mission is to help companies determine how they can accelerate their business processes using RPA, BPM, AI, Machine Learning and Cognitive Technologies. The goal is to challenge existing IT & BPO business models by assisting companies to drive productivity, eliminate errors, and focus less on mundane tasks and more on their customers.
Let’s question the status quo.
Smart Robotic Automation is an alternative to offshore Business Process Outsourcing (BPO) in many ways and a compliment to BPO in others. It beats the classic “labor arbitrage” model while allowing you to keep control of your business. This new paradigm requires strategic new partnerships with companies that do not carry the traditional BPO baggage.
Similarly, Business Process Management (BPM) as a methodology and as an automation technology has been around for over a decade. However, BPM market penetration has been mostly in the larger enterprises due to the complexity, costs, and implementation timeframes. Robotic Process Automation (RPA) in some ways is a complement to BPM implementations but in other ways, it is an alternative for companies that consider BPM automation too complex, intrusive, or costly. BPM does have a huge role to play within larger enterprises because it enables automation of complex workflows and dynamic rules whereas RPA technology addresses the quick automation challenges. BPM sometimes is marketed as a “low code” platform whereas RPA is marketed as “no code” platform by only operating at the user interface or “surface” levels.
RPA can also be considered for shorter-term enterprise integration by using surface level automation for systems where writing lower level API code is too complex or not available. However, RPA may not be a solution for situations where real-time synchronous integration is required, since exception paths may require human intervention.
Many Business Process Automation challenges require processing of not only structured data but also semi-structured and/or non-structured data. For e.g. when determining next possible step in a workflow is dependent upon understanding natural language (emails/chats or spoken language) or extracting meaningful data from unstructured documents (contracts, invoices etc.). This is where the new breed of AI and Machine Learning Technologies can be utilized to drive higher levels of business productivity. This, however, requires that a considerable amount of historical “training” data be available to the machine learning algorithms produce results with a higher level of confidence. We do not currently see NLP AI at a point where it can be definitively used to ascertain intent to process consequential next steps without human intervention. Applications of NLP AI are currently limited to sentiment and predictive analytics and read-only type customer service requests.
At Accelirate, we take pride in guiding our clients towards what business processes they can automate using RPA, BPM, AI, Machine Learning and Cognitive Technologies. We invest in R&D to develop and use Artificial Intelligence models that allow the Robots to do much more than just repetitive rules-based tasks. All to help our clients see a real and fast ROI, and hopefully, one day, love robots almost as much as we do!