CIO OPINION a conversational interface , it allows users to quickly get answers to questions like “ Where are the highest sources of waiting time in my process ?”, “ Where are the top 3 rework loops by impact on cycle time ?”, or “ Why do we violate our time-to-yes obligation ?”. The conversational interface helps analysts to uncover insights that would otherwise take them weeks of effort to identify .
2 . Process Simulation
Digital process twins allow managers to test process changes in a risk-free environment by simulating change scenarios . Process mining techniques provide the groundwork for such scenario testing by automatically generating accurate digital process twins from event data .
If the underlying LLM is trained on the organization ' s data and documents , GenAI contextualizes the discovered friction points and compliance deviations within the organization ' s setting . Users can understand the true impact of these anomalies on the company ' s KPIs and KRIs and link them to strategic objectives .
By diving into root causes and relating them to other aspects of the organization , GenAI goes beyond standard root-cause analysis techniques that only look for information within the event log used for process mining .
Still , the use of digital process twins requires expert users who understand the complex statistical parameters required to simulate the organization ’ s processes . GenAI reduces the time needed for simulation parameter tuning and lowers the entry barrier for process simulation , making it possible for business stakeholders to get answers to their what-if analysis questions without requiring technical expertise .
Users can ask natural language what-if analysis questions like " How much would we shifting FTEs to packaging reduce order delivery times ? " or “ What
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