We have developed our own framework called the ROQS framework. This helps us determine what process in an organisation can be automated for our clients. There is a definitive scoring system marked against various criteria. We use this to define various the success of its implementation. Through ROQS proprietary framework, we then qualify RPA candidates across dimensions. This involves Revenue maximisation, Cost maximisation, Regulatory risk, process standardisation, process complexity and process variation.
Criteria for ROQS
A typical RPA opportunity qualification system will consider several factors. This is to determine the feasibility of automating a particular process, such as:
- Repetitiveness: The process should be highly repetitive and require a consistent set of steps.
- Predictability: The process should have a well-defined set of rules and decision points. So that the automation system can accurately determine the next step to take.
- Stability: The process should be stable, with little change from one instance to the next. This is in order for the automation system to be able to handle it effectively.
- Volume: To perform the process should for a sufficient number of times to justify the investment in automation.
- Data availability: The process should involve structured data that the automation system can be easily access and use.
- IT infrastructure: The organisation should have the necessary IT infrastructure and systems in place. This is to support the automation of the process.
Our team then measures the tentative effect of implementing RPA and AI against a minimum cut-off. This is to come up with definitive expected outcomes. This is to maintain transparency and to make sure it benefits our client.
Then we segregate the process into three categories. One to be pursued aggressively, two to be pursued steadily and three to be pursued cautiously. After implementation we then calculate the FTE benefit and net costs saved due to automation.
