There’s no better way to do business than the optimized way. Savings in costs, time and resources opens up avenues for investments in improving the services offered to end-customers. Robotic Process Automation (RPA) has enabled enterprises to improve productivity and achieve operational excellence by eliminating repetitive and mundane manual tasks.
It essentially involves 2 steps – Process Identification & Process Prioritization. In order to prioritise processes, it is necessary to define the usefulness, complexity, effort, and value of automating each process.
This process can be costly and time-consuming because:
AiTrickz has designed an approach to carry out this analysis. It involves the following steps:
Process Identification Model
The first step for the automation to be done is to identify the processes that are required for the automation. AiTrickz conducts models with the key members of the processes that are being analysed for automation. The characteristics of these Models are as follows-
Process Prioritization Model
Now the process identification model has been identified for the organization, it’s time to prioritize the processes as per the requirement of the company. This involves the following steps, depends upon each organization process-
Most consulting firms use elaborate models to carry out this analysis, which takes a lot of time and involves a substantial upfront investment just to develop the business case for automation.
AiTrickz assists this process by assuring that the key data elements for this analysis are gathered during the process identification models. Our method focusses mainly on fulfilling the following outcomes:
Utility for Automation
Deciding utility for automation focuses on what extant RPA software packages can or cannot handle.
These models (In the Table) are very helpful in identifying the quick decisions to be made that can be automated using a standard RPA tool. But the more complex processes get rejected in these models, these processes are as follow:
Complexity for Automation
Now the utility for automation has been identified for the organization, it’s time to estimate the complexity to automate the processes. For this, AiTrickz has made a data-driven model that gives us the information to estimate the complexity of the processes which are to be automated.
Effort & cost for Automation
Now the complexity level has been identified, effort and cost automation have been correlated by the data-driven model for the processes.
Savings from Automation
For each process, we identify expected full time employees (FTE) savings by:
Full-time employees (FTE) savings can be measured. Apart from this, automation can deliver many benefits, but these benefits are difficult to quantify. These are:
The following points have to be considered to check the ROI for an automation program,
Assembling this information, ROI calculation can be put into the AiTrickz model to arrive at the business case.
AiTrickz Automation Framework
The AiTrickz Automation Framework is trying to help the organization in the processes that RPA alone cannot manage alone. The utility of automation cannot be done based on what RPA can do alone but what RPA & AI technologies can do together.