Most organizations—such as companies, government agencies, and institutions—rely on structured decision-making processes that involve data inputs (e.g., information and documentation), multiple human touchpoints handling various tasks, and predefined decision-making logic leading to specific outcomes (e.g., approvals or pricing).

Over time, these processes can become rigid, unstructured, and overly complex. Transactions, applications, and other instances must navigate workflows riddled with redundancy, repeated human intervention, disjointed data collection, and inconsistent or non-replicable decisions.

Traditional workflows struggle to adapt to the dynamic nature of these decision-making processes. Reconfiguring them is cumbersome, leading to delays and an inability to keep pace with a rapidly changing business environment.