Claims:We claim:

1. A method of valuating an automation for a process of an enterprise system, the method comprising:
computing dynamically, by an automation system (102), a plurality of parameters associated with the process, wherein the plurality of parameters comprises time related parameters (214) and cost related parameters (216);
determining, by the automation system (102), a total actual cost saved when an automation is applied on the process based on the time related parameters (214) and the cost related parameters (216);
normalizing, by the automation system (102), the total actual cost saved based on the cost related parameters (216) and a cost of automation maintenance; and
determining, by the automation system (102), a value of the automation based on the total actual cost saved after normalization, qualitative parameters associated with the process and the cost of automation maintenance, wherein the value is categorized into at least one of an automate category, a neutral category and a non-automate category.

2. The method as claimed in claim 1, further comprising creating a learning model based on the plurality of parameters computed and historical information pertaining to previous errors detected when the automation is applied on the process.

3. The method as claimed in claim 2, further comprising updating the learning model based on the qualitative parameters comprising a consistency parameter indicating a level of consistency while executing the process and ease of use parameter.

4. The method as claimed in claim 1, wherein the time related parameters (214) comprises an overall time consumed in completion of one or more tasks of an activity in the process when the automation is applied on the process.

5. The method as claimed in claim 1, wherein the cost related parameters (216) comprises:
a cost-saving value in completing the activity when the automation is applied, wherein the cost-saving value indicates an overall cost saved by freeing one or more resources employed in the one or more tasks of the activity due to the automation;
a total error-cost of manual execution of the process; and
a non-timely completion cost corresponding to the one or more tasks, wherein the non-timely completion cost indicates a value when the automation is not employed for completing the one or more tasks.

6. The method as claimed in claim 5, wherein the total error cost is measured by:
determining one or more errors corresponding to one or more tasks of the activity when the one or more tasks are performed manually, wherein the one or more errors are determined by using a learning model; and
determining a rectification cost consumed for repeating the one or more tasks when the one or more errors are determined.

7. The method as claimed in claim 1, wherein:
the automate category indicates a recommendation of performing the automation for the process;
the neutral category indicates a recommendation of performing the automation for the process if all the automation in the automate category is undertaken and additional bandwidth is available to undertake more automation; and
the non-automate category indicates a recommendation of not performing the automation for the process.

8. An automation system (102) for valuating an automation for a process of an enterprise system, the system (102) comprising:
a processor (204); and
a memory (206) communicatively coupled to the processor (204), wherein the memory (206) stores processor-executable instructions, which, on execution, causes the processor (204) to:
compute a plurality of parameters associated with the process, wherein the plurality of parameters comprises time related parameters (214) and cost related parameters (216);
determine a total actual cost saved when an automation is applied on the process based on the time related parameters (214) and the cost related parameters (216);
normalize the total actual cost saved based on the cost related parameters (216) and a cost of automation maintenance; and
determine a value of the automation based on the total actual cost saved after normalization, qualitative parameters associated with the process, and the cost of automation maintenance, wherein the value is categorized into at least one of an automate category, a neutral category and a non-automate category.

9. The automation system (102) as claimed in claim 8, wherein the processor (204) is further configured to create a learning model based on the plurality of parameters computed and historical information pertaining to previous errors detected when the automation is applied on the process.

10. The automation system (102) as claimed in claim 9, wherein the processor (204) is further configured to update the learning model based on the qualitative parameters comprising a consistency parameter indicating a level of consistency while executing the process upon the applying the automation and ease of use parameter.

11. The automation system (102) as claimed in claim 8, wherein the time related parameters (214) comprises an overall time consumed in completion of one or more tasks of an activity in the process when the automation is applied on the process.

12. The automation system (102) as claimed in claim 8, wherein the cost related parameters (216) comprises:
a cost-saving value in completing the activity when the automation is applied, wherein the cost-saving value indicates an overall cost saved by freeing one or more resources employed in the one or more tasks of the activity due to the automation,
a total error-cost of manual execution of the process; and
a non-timely completion cost corresponding to the one or more tasks, wherein the non-timely completion cost indicates a value when automation is not employed for completing the one or more tasks.
13. The automation system (102) as claimed in claim 12, wherein the processor (204) measures the total error cost by,
determining one or more errors corresponding to one or more tasks of the activity when the one or more tasks are performed manually, wherein the one or more errors are determined by using a learning model; and
determining a rectification cost consumed for repeating the one or more tasks when the one or more errors are determined.

14. The automation system (102) as claimed in claim 8, wherein:
the automate category indicates a recommendation of performing the automation for the process;
the neutral category indicates a recommendation of performing the automation for the process if all the automation in the automate category is undertaken and additional bandwidth is available to undertake more automation; and
the non-automate category indicates a recommendation of not performing the automation for the process.

dated this 30th day of September, 2016

Swetha SN
Of K&S Partners
Agent for the Applicant
, Description:TECHNICAL FIELD

The present disclosure relates in general to valuation of an automation. More particularly, but not exclusively, the present disclosure discloses a method and system for valuating the automation for a process in an enterprise system.