An alternative to BPO? BPM on a budget? Or a challenge to many traditional IT Enterprise Application Integration paradigms?
We are on a mission to explore the answers to these questions for our Clients and help them adopt the new breed of RPA and AI Technologies
Let’s question the status quo.
Smart Robotic Automation is an alternate to Offshore Business Process Outsourcing in many ways and a complement to BPO in others. But it certainly beats the classic “labor arbitrage” model as you 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 (BPMS) as a Methodology and as an Automation Technology has been around for over a decade. However, BPMS market penetration has been mostly at the Larger Enterprise levels due to the Complexity, Costs and Implementation timeframes. RPA in some ways is a complement to BPM implementations but in other ways, it is an alternative for Companies that consider BPMS Automation too Complex, Intrusive or Costly. BPMS does have a huge role to play within larger Enterprises because it enables automation of complex workflows and dynamic rules whereas RPA Technology can address quick automation challenges. BPMS sometimes is marketed as a “low code” platform whereas RPA is marketed as “no code” platform by only operating at the UI 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 guide our Clients on how they can automate Business Processes using RPA, BPM, AI and Cognitive technologies. We invest in R&D to develop and use Artificial Intelligence models that make the Robots do much more than just repetitive rules-based tasks.
Automation Business Analysts
Automation Project Managers
Automation Learning Experts
and Implementation Roadmap
ROI Calculation Framework
Vendor Product Evaluation
IT, Security and Infrastructure
Accelirate Robot Assembly