Intelligent Automation
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.
Key Challenges
- 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
Call to Action
Rethink the basic operating models
Dismantle functional silos and have a clear vision on how IA will affect your workforce and growth
Strategize and incorporate IA innovations that work together
Ensure that you have enough resources
Be innovative
Work cohesively
Lead IA efforts from a strategic standpoint
Examine IA from an organization viewpoint
Have appropriate change management plans
Be bold and know how to pivot