Traditional workflow automation is a set of automated actions, usually based on rules set by an operator or user to increase business process efficiencies.
They are used for a lot of different types of business processes and have been evolving and becoming more reliable as technology and processing power has improved.
Automating business process workflows comes with a lot of benefits, for example:
-
Reduction in manual errors
-
Improved data quality
-
Quicker, more reliable processes
-
Saving employee time (where they would have to do the same job manually)
While automation provides a lot of advantages, saving employee time and increasing process accuracy, a linear or more traditional automated process is often only good when everything matches the rules set.
As soon as something doesn’t match the rule set, a human has to intervene and take action on the jobs that the workflow couldn’t complete.
For example, if a data extraction workflow is set to pull any information with a certain format and one document doesn’t have the required format, information could be missed or ignored. Someone might then have to check the documents missed and find the information manually.
This is where dynamic workflows come to hand.
Completely automate exception handling and transform business processes
Dynamic workflows automatically respond with changing processes and empower workers to intervene only when required.
Effectively, they take traditional workflow technology to the next level by helping to achieve complete automation and removing manual dependency to manage exceptions.
With the use of process analytics, artificial intelligence (AI) and robotic software, it’s possible for dynamic workflows to:
-
identify exceptions,
-
identify the reason behind exceptions
-
and either resolve the exception or take an alternative path to continue the business process.
This added level of automation reduces the need for employees and users to intervene everytime the workflow can’t process something as the automated workflow uses a workaround to get the job done, adding extra intelligence to business process management.