While a lot of AI implementations are still exploratory these days, there are many examples of companies starting to gain real traction behind the scenes – applying AI to automate manual, back-office business processes.

Sometimes referred to as intelligent process automation (“IPA”), these back-office use cases focus on manual, document-based workflows such as contract analytics, audit planning and reporting, RFP analysis and composition, sales opportunity workflow automation, customer support analysis and automation, appraisal, and claims analysis. These use cases are fundamentally different than RPA use cases in that they deal primarily with unstructured content, and rather than following simple task-based automation, they require some form of AI-based decisioning in order to augment or automate the workflow.

Source: datanami.com
Author: Tom Wilde