Robotic Automation

Robotics can automate manual desktop tasks that are highly structured, routine and rules- schedule- or event-driven, requiring little (if any) analysis or subjective judgment. The average back office employee, for example, spends 80% of their day on such activities, like filling in forms, making repetitive calculations or processing orders. These tasks may be critical for supporting customers, but for your employees they are tedious motivation-killers. They are also notoriously error-prone and time-consuming. We utilize robotics to hand these processes off to a robotic workforce that is fast, perfectly accurate, tireless, and easily scalable. You can relieve employees of tasks that require no human intervention (“unattended”) and partially automate those that do (“attended”). This will free your employees to focus on high-value activities, while the software robots optimize your business processes.

Robotic Automation

Why on earth you should bother about another new technology? You are already comfortable with a tool and believe that can be useful to your needs! No doubt, we all face similar situations. We all have our preferred technology platform, product, and, sometimes, preferred vendor. Nothing wrong in it; but, should we get married to a technology that once was deployed for a specific scenario and use it for a different case altogether, just because it worked the first time?  

Technology tools, platforms, and products --- they exist to make our jobs easier. It makes sense to choose the one that fits the bill optimally. What serves one problem may not be capable of perfectly resolving another issue.  

Addressing a problem with a preconceived solution in mind cannot always be the best answer to every problem. Need of the hour is to be agnostic!  


Agnostic? How that can be defined?  
Chances are you already heard the concept. In case you haven’t, being agnostic is, in a single word, staying unbiased!  

Its application in consultancy business offers a new level of flexibility. Agnostic consultancy commands to investigate every problem from a holistic and unbiased perspective. In this approach, solution searching comes only after the complete definition and understanding of the problem.  

Even while finding a solution, importance should be given to the best serving technology, platform and products. Capability and suitability of all the available options are to be tested thoroughly instead of relying on the experience and personal preference.  


Let us understand with some examples 
Let’s think about a content management solution provider (CMSP) with well-established expertise in Drupal. A new client approaches them with a request to revamp an existing intranet portal. Would we expect the CMSP to propose any other platform other than Drupal? Well, we all know the answer.  
 
Similarly, let us take another example of a SAP consultant. A miniscule subsidiary of your organization needs an ERP solution. Can you expect an unbiased proposal of the solution that optimally suits the subsidiary? Again, the question needs no answer. 
 
But, does is this phenomenon prevalent in all fields of work?  
 
As an architect, if you are requested to plan and design a building structure, what would be your approach? Think of any previous design work that you have come across and try to imitate? Don’t this so!! You will try to understand the purpose of the building; how the space will be utilized; will it can be a hospital, community housing or a factory shade. No single design approach can serve all the purpose. You need to have flexibility in approach to change solution as per the purpose.  
 
One last example from the field of education. People learn differently. Some are kinaesthetic learners; some are visual learners. There are other learning styles like, auditory, global and analytic. Ideally, teachers try to match learning style of the learner. A child with high bodily kinaesthetic inclination should not be confined to a desk and expect to learn listening to lectures. That will only kill the interest to learn of that child. Purpose of teaching will fail.  
 
What would be ideal? 
Choosing any technology should come only after clear understanding of the requirements and assigning priorities or weightages to each. Every technology solution evaluated is bound to have its strengths and weaknesses.  
 
Based on the scenario, you would need to employ any of the scientific techniques, which may be as rudimentary as weightage average to the more complex ones like Kano Analysis, to come out with the optimally viable solution.  
 
Yes, all said, existing technology implemented, in-house skill availability, technology cost are definitely constraints that need to be applied. But a structured decision making would get you what is best for the business.  
 
“We all see only that which we are trained to see.” – Well, it’s time to unlearn….