1. A method for automatic selection of process automation Robotic Process Automation
(RPA) tool and BOT, the method comprising:
5 receiving, by a process automation system, input data associated with a process to be
executed;
selecting, by the process automation system, an RPA tool from a plurality of RPA tools
for process execution based on the input data and historical process data, wherein the selection
is performed by calculating information gain for each parameter of the input data and
10 computing probability for each type of RPA tool based on the information gain and the
historical process data;
identifying, by the process automation system, one or more BOTs from a plurality of
BOTs based on the selected RPA tool, historical BOT data and the input data for the process
execution; and
15 executing, by the process automation system, the identified one or more BOTs on one
or more devices based on selection of the one or more devices from available plurality of devices.
2. The method as claimed in claim 1, wherein the input data comprises at least one of a
20 technology type parameter, an application type parameter, a cognitive capability level
parameter, a macro recorder status parameter, a citrix automation availability parameter and a coding dependency level parameter.
3. The method as claimed in claim 1, wherein the selection of the RPA tool is performed
25 using a machine learning based decision tree technique.
4. The method as claimed in claim 1, wherein the information gain is a measure of
reduction in entropy.
30 5. The method as claimed in claim 1, wherein the identification of the one or more BOTs
is performed using statistical Jaccard index.
6. The method as claimed in claim 1, wherein the execution of the process is performed
in a distributed manner.

7. A process automation system for automatic selection of process automation Robotic
Process Automation (RPA) tool and BOT, the system comprising:
a processor; and
5 a memory communicatively coupled to the processor, wherein the memory stores
processor-executable instructions, which on execution, cause the processor to: receive input data associated with a process to be executed;
select an RPA tool from a plurality of RPA tools for process execution based
on the input data and historical process data, wherein the selection is performed by
10 calculating information gain for each parameter of the input data and computing
probability for each type of RPA tool based on the information gain and the historical
process data;
identify one or more BOTs from a plurality of BOTs based on the selected RPA
tool, historical BOT data and the input data for the process execution; and
15 execute the identified one or more BOTs on one or more devices based on
selection of the one or more devices from available plurality of devices.
8. The process automation system as claimed in claim 7, wherein the input data comprises
at least one of a technology type parameter, an application type parameter, a cognitive
20 capability level parameter, a macro recorder status parameter, a citrix automation availability
parameter and a coding dependency level parameter.
9. The process automation system as claimed in claim 7, wherein the selection of the RPA
tool is performed using a machine learning based decision tree technique.
25
10. The process automation system as claimed in claim 7, wherein the information gain is
a measure of reduction in entropy.