Intelligent Automation (IA) is the technical and tactical agenda of every leader – transforming and automating business processes through software robotics, cloud computing, artificial intelligence and smart machines. IA increases an organization’s operating performance and efficiency and lays the groundwork for new and improved products and services.
At its most complex level, IA generates more value by utilizing historical data to make recommendations on how to resolve client issues and further supplement intelligence to provide new perspectives which are crucial in decision-making.
- Uncoordinated and disconnected efforts in the organization
- Trouble scaling up pilot programs
- Many ‘toes in the sea,' but few truly operational IA deployments
- Lacking the necessary expertise and tools to undertake and execute IA initiatives
- Difficulty understanding how to better approach the effect of IA, particularly RPA and its related potential for job loss on the business
- Change management tactics and programs are often insufficient
- Job reduction and retraining and reskilling are downplayed