The article discusses:
- The demand for rapid and scalable automation, and higher ROI
- The challenge of discovering right automations
- The Empirical Mode of Discovering Automations
- The Comprehensive Mode of Discovering Automations
- Combining Empirical & Comprehensive methods for efficient automation discovery and execution
The advent of “Digital”, “Transformation” and “Automation” has brought to the forefront two key buzzwords - “Rapid automation” and “Higher Return on Investment (ROI)”.
(A) Higher ROI: Irrespective of the technology lever deployed, i.e. Robotic Process Automation (RPA), Artificial Intelligence (AI), Blockchain, or Process redesign, higher ROI depends on a multitude of factors. These can include having wrong processes/candidates for automation, automating not-so robot-friendly applications, accelerating bot deployment/development cycles, lesser focus on integrating People, Process, Technology, automating largely human decision making driven processes, inability to connect process discoveries to deploying bots, absence of a strong governance structure, and not executing right tests for the deployed bots so that they function seamlessly.
(B) Rapid Automation: Automation is a cyclical activity and all the elements need to be integrated coherently to ensure rapid automation and more importantly, scale-based automation.
Data suggests that up to 70% of RPA project resources are spent on pre-automation1 , i.e. on the discovery phase as around 30-50% of automation projects fail2 because of inefficient automation discovery and over 40% automation projects fail3 due to large implementation timelines and implementation costs. This again rolls back to two fundamental questions that are a part of the “Discovery” step:
- Is there a healthy pipeline of automations in place from where another process can be quickly considered if the existing automations does not yield results?
- Have the right candidates of automation been considered after a robust evaluation process?
These two questions become important as automation is a cyclical process, i.e. (Figure 1).